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Academic literature on the topic 'Bayes power'

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Journal articles on the topic "Bayes power"

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Mugdadi, Abdel-Razzaq, and Min A. "Bayes estimation of the power hazard function." Journal of Interdisciplinary Mathematics 12, no. 5 (October 2009): 675–89. http://dx.doi.org/10.1080/09720502.2009.10700653.

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McKenzie, Craig R. M. "Bayes plus environment." Behavioral and Brain Sciences 32, no. 1 (February 2009): 93–94. http://dx.doi.org/10.1017/s0140525x09000399.

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AbstractOaksford & Chater's (O&C's) account of deductive reasoning is parsimonious at a local level (because a rational model is used to explain a wide range of behavior) and at a global level (because their Bayesian approach connects to other areas of research). Their emphasis on environmental structure is especially important, and the power of their approach is seen at both the computational and algorithmic levels.
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Calabria, R., and G. Pulcini. "Bayes inference for the modulated power law process." Communications in Statistics - Theory and Methods 26, no. 10 (January 1997): 2421–38. http://dx.doi.org/10.1080/03610929708832057.

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Kim, Hyungchul, and Chanan Singh. "Power system probabilistic security assessment using Bayes classifier." Electric Power Systems Research 74, no. 1 (April 2005): 157–65. http://dx.doi.org/10.1016/j.epsr.2004.10.004.

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Lerche, Hans Rudolf. "The Shape of Bayes Tests of Power One." Annals of Statistics 14, no. 3 (September 1986): 1030–48. http://dx.doi.org/10.1214/aos/1176350048.

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Ghosh, Abhik, and Ayanendranath Basu. "Robust Bayes estimation using the density power divergence." Annals of the Institute of Statistical Mathematics 68, no. 2 (January 1, 2015): 413–37. http://dx.doi.org/10.1007/s10463-014-0499-0.

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Brown, Timothy M. "Automated p-mode identification using Bayes' theorem." Symposium - International Astronomical Union 123 (1988): 491–94. http://dx.doi.org/10.1017/s0074180900158590.

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The task of interpreting p-mode spectra is complicated by the presence of a very large number of oscillation modes, each of which may appear (because of aliasing) in the power spectra corresponding to several values of l and m. Identifying peaks in a power spectrum with particular modes in an interactive fashion thus quickly becomes impractical. Here I describe an automated method for doing this identification. The method is based on an application of Bayes' theorem, which provides a simple way to use prior knowledge about the oscillation spectrum. The method takes as input the observed power spectra, and a model of the amplitudes and frequencies one expects to see.
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Liu, Yang, Majid Khan, Syed Masroor Anwar, Zahid Rasheed, and Navid Feroze. "Stress-Strength Reliability and Randomly Censored Model of Two-Parameter Power Function Distribution." Mathematical Problems in Engineering 2022 (June 24, 2022): 1–12. http://dx.doi.org/10.1155/2022/5509684.

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The power function distribution is a flexible waiting time model that may provide better fit for some failure data. This paper presents the Bayes estimates of two-parameter power function distribution under progressive censoring. Different progressive censoring schemes have been used for the analysis. The Bayes estimates are obtained, using conjugate priors, under five loss functions including square error, precautionary, weighted, LINEX, and DeGroot loss function. The Gibbs sampling algorithm and Tierney and Kadane’s Approximation are used for the Bayes estimates of model parameters, reliability function, and stress-strength reliability. The comparison of the Bayes estimates is considered through the root mean squared errors. One real-life dataset is analyzed to illustrate the applications of proposed estimates. The results from the simulation study and real data analysis suggest that the Bayes estimation was more efficient for the progressive censoring schemes with all the withdrawals at the time of first failure.
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Sugasawa, S. "Robust empirical Bayes small area estimation with density power divergence." Biometrika 107, no. 2 (January 29, 2020): 467–80. http://dx.doi.org/10.1093/biomet/asz075.

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Summary A two-stage normal hierarchical model called the Fay–Herriot model and the empirical Bayes estimator are widely used to obtain indirect and model-based estimates of means in small areas. However, the performance of the empirical Bayes estimator can be poor when the assumed normal distribution is misspecified. This article presents a simple modification that makes use of density power divergence and proposes a new robust empirical Bayes small area estimator. The mean squared error and estimated mean squared error of the proposed estimator are derived based on the asymptotic properties of the robust estimator of the model parameters. We investigate the numerical performance of the proposed method through simulations and an application to survey data.
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Gravestock, Isaac, and Leonhard Held. "Adaptive power priors with empirical Bayes for clinical trials." Pharmaceutical Statistics 16, no. 5 (June 2, 2017): 349–60. http://dx.doi.org/10.1002/pst.1814.

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Dissertations / Theses on the topic "Bayes power"

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Chen, Zhao. "Bayesian and Empirical Bayes approaches to power law process and microarray analysis." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000430.

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DI, BRISCO AGNESE MARIA. "Statistical Network Analysis: a Multiple Testing Approach." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/96090.

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The problem of identifying connections between nodes in a network model is of fundamental importance in the analysis of brain networks because each node represents a specific brain region that can potentially be connected to other brain regions by means of functional relations; the dynamical behavior of each node can be quantified by adopting a correlation measure among time series. In this contest, the whole set of links between nodes in a network can be represented by means of an adjacency matrix with high dimension, that can be obtained by performing a huge number of simultaneous tests on correlations. In this regard, the Thesis has dealt with the problem of multiple testing in a Bayesian perspective, by examining in depth the “Bayesian False Discovery Rate” (FDR), already defined in Efron, and by introducing the “Bayesian Power” (BP). The behavior of the FDR and BP estimators has been analyzed both with asymptotic theory and with Monte Carlo simulations; furthermore, it has been investigated the robustness of the proposed estimators by simulating specific pattern of dependencies among the p-values associated to the multiple comparisons. Such a multiple testing approach, that allows to control both FDR and BP, has been applyied to a dataset provided by the Milan Center for Neuroscience (NeuroMi). Once selected a sample of 70 participants, classified properly into young subjects and elderly subjects, subject by subject network models have been constructed in order to verify two alternative theories about changes in the pattern of functional connectivity as time goes by, namely the de-differentiation hypothesis versus the localization hypothesis. This objective has been achieved by selecting some proper network measures in order to verify the original hypotheses about the pattern of functional connectivity in the elderly’s group and in the group of young subjects, and by constructing some ad-hoc measures.
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Lopez, Paola Johana Saboya. "Uma contribuição ao problema de detecção de ruídos impulsivos para power line communication." Universidade Federal de Juiz de Fora (UFJF), 2013. https://repositorio.ufjf.br/jspui/handle/ufjf/4155.

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A presente dissertação tem por objetivo propor e avaliar cinco técnicas de detecção de ruídos impulsivos para a melhoria da transmissão digital de dados via redes de energia elétrica (do inglês, Power Line Communications) (PLC). As técnicas propostas contemplam a detecção de ruídos impulsivos no domínio do tempo discreto, no domínio da transformada wavelet discreta (do inglês, Discrete Wavelet Transform) (DWT) e no domínio da transformada discreta de Fourier (do inglês, Discrete Fourier Transform) (DFT). Tais técnicas fazem uso de métodos de extração e seleção de características, assim como métodos de detecção de sinais baseados na teoria de Bayes e redes neurais. Análises comparativas explicitam as vantagens e desvantagens de cada uma das técnicas propostas para o problema em questão, e ainda indicam que estas são bastante adequadas para a solução do mesmo.
This dissertation aims to propose and evaluate five techniques for impulsive noise detection in order to improve digital communications through power line channels. The imput signals for the proposed detection techniques are impulsive noise signals on discrete-time domain, on the Discrete Wavelet Transform domain and on the Discrete Fourier Transform domain and it makes use of feature extraction and selection techniques, as well as detection techniques supported on Bayes Theory and Multi-layer Perceptron Neural Networks. Comparative analysis show some advantages and disadvantages of each proposed technique and the relevance of them to solve the impulsive noise detection problem.
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Do, Van-Cuong. "Analyse statistique de processus stochastiques : application sur des données d’orages." Thesis, Lorient, 2019. http://www.theses.fr/2019LORIS526/document.

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Les travaux présentés dans cette thèse concernent l'analyse statistique de cas particuliers du processus de Cox. Dans une première partie, nous proposons une synthèse des résultats existants sur le processus power-law (processus d'intensité puissance), synthèse qui ne peut être exhaustive étant donné la popularité de ce processus. Nous considérons une approche bayésienne pour l'inférence des paramètres de ce processus qui nous conduit à introduire et à étudier en détails une distribution que nous appelons loi H-B. Cette loi est une loi conjuguée. Nous proposons des stratégies d'élicitation des hyperparamètres et étudions le comportement des estimateurs de Bayes par des simulations. Dans un deuxième temps, nous étendons ces travaux au cas du processus d’intensité exponentielle (exponential-law process). De la même façon, nous définissons et étudions une loi conjuguée pour l'analyse bayésienne de ce dernier. Dans la dernière partie de la thèse, nous considérons un processus auto-excité qui intègre une covariable. Ce travail est motivé, à l'origine, par un problème de fiabilité qui concerne des données de défaillances de matériels exposés à des environnements sévères. Les résultats sont illustrés par des applications sur des données d'activités orageuses collectées dans deux départements français. Enfin, nous donnons quelques directions de travail et perspectives de futurs développements de l'ensemble de nos travaux
The work presented in this PhD dissertation concerns the statistical analysis of some particular cases of the Cox process. In a first part, we study the power-law process (PLP). Since the literature for the PLP is abundant, we suggest a state-of-art for the process. We consider the classical approach and recall some important properties of the maximum likelihood estimators. Then we investigate a Bayesian approach with noninformative priors and conjugate priors considering different parametrizations and scenarios of prior guesses. That leads us to define a family of distributions that we name H-B distribution as the natural conjugate priors for the PLP. Bayesian analysis with the conjugate priors are conducted via a simulation study and an application on real data. In a second part, we study the exponential-law process (ELP). We review the maximum likelihood techniques. For Bayesian analysis of the ELP, we define conjugate priors: the modified- Gumbel distribution and Gamma-modified-Gumbel distribution. We conduct a simulation study to compare maximum likelihood estimates and Bayesian estimates. In the third part, we investigate self-exciting point processes and we integrate a power-law covariate model to this intensity of this process. A maximum likelihood procedure for the model is proposed and the Bayesian approach is suggested. Lastly, we present an application on thunderstorm data collected in two French regions. We consider a strategy to define a thunderstorm as a temporal process associated with the charges in a particular location. Some selected thunderstorms are analyzed. We propose a reduced maximum likelihood procedure to estimate the parameters of the Hawkes process. Then we fit some thunderstorms to the power-law covariate self-exciting point process taking into account the associated charges. In conclusion, we give some perspectives for further work
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Ötsch, Rainald. "Stromerzeugung in Deutschland unter den Rahmenbedingungen von Klimapolitik und liberalisiertem Strommarkt : Bewertung von Kraftwerksinvestitionen mit Bayes’schen Einflussdiagrammen." Phd thesis, Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2014/6905/.

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Mit der Liberalisierung des Strommarkts, den unsicheren Aussichten in der Klimapolitik und stark schwankenden Preisen bei Brennstoffen, Emissionsrechten und Kraftwerkskomponenten hat bei Kraftwerksinvestitionen das Risikomanagement an Bedeutung gewonnen. Dies äußert sich im vermehrten Einsatz probabilistischer Verfahren. Insbesondere bei regulativen Risiken liefert der klassische, häufigkeitsbasierte Wahrscheinlichkeitsbegriff aber keine Handhabe zur Risikoquantifizierung. In dieser Arbeit werden Kraftwerksinvestitionen und -portfolien in Deutschland mit Methoden des Bayes'schen Risikomanagements bewertet. Die Bayes'sche Denkschule begreift Wahrscheinlichkeit als persönliches Maß für Unsicherheit. Wahrscheinlichkeiten können auch ohne statistische Datenanalyse allein mit Expertenbefragungen gewonnen werden. Das Zusammenwirken unsicherer Werttreiber wurde mit einem probabilistischen DCF-Modell (Discounted Cash Flow-Modell) spezifiziert und in ein Einflussdiagramm mit etwa 1200 Objekten umgesetzt. Da der Überwälzungsgrad von Brennstoff- und CO2-Kosten und damit die Höhe der von den Kraftwerken erwirtschafteten Deckungsbeiträge im Wettbewerb bestimmt werden, reicht eine einzelwirtschaftliche Betrachtung der Kraftwerke nicht aus. Strompreise und Auslastungen werden mit Heuristiken anhand der individuellen Position der Kraftwerke in der Merit Order bestimmt, d.h. anhand der nach kurzfristigen Grenzkosten gestaffelten Einsatzreihenfolge. Dazu wurden 113 thermische Großkraftwerke aus Deutschland in einer Merit Order vereinigt. Das Modell liefert Wahrscheinlichkeitsverteilungen für zentrale Größen wie Kapitalwerte von Bestandsportfolien sowie Stromgestehungskosten und Kapitalwerte von Einzelinvestitionen (Steinkohle- und Braunkohlekraftwerke mit und ohne CO2-Abscheidung sowie GuD-Kraftwerke). Der Wert der Bestandsportfolien von RWE, E.ON, EnBW und Vattenfall wird primär durch die Beiträge der Braunkohle- und Atomkraftwerke bestimmt. Erstaunlicherweise schlägt sich der Emissionshandel nicht in Verlusten nieder. Dies liegt einerseits an den Zusatzgewinnen der Atomkraftwerke, andererseits an den bis 2012 gratis zugeteilten Emissionsrechten, welche hohe Windfall-Profite generieren. Dadurch erweist sich der Emissionshandel in seiner konkreten Ausgestaltung insgesamt als gewinnbringendes Geschäft. Über die Restlaufzeit der Bestandskraftwerke resultiert ab 2008 aus der Einführung des Emissionshandels ein Barwertvorteil von insgesamt 8,6 Mrd. €. In ähnlicher Dimension liegen die Barwertvorteile aus der 2009 von der Bundesregierung in Aussicht gestellten Laufzeitverlängerung für Atomkraftwerke. Bei einer achtjährigen Laufzeitverlängerung ergäben sich je nach CO2-Preisniveau Barwertvorteile von 8 bis 15 Mrd. €. Mit höheren CO2-Preisen und Laufzeitverlängerungen von bis zu 28 Jahren würden 25 Mrd. € oder mehr zusätzlich anfallen. Langfristig erscheint fraglich, ob unter dem gegenwärtigen Marktdesign noch Anreize für Investitionen in fossile Kraftwerke gegeben sind. Zu Beginn der NAP 2-Periode noch rentable Investitionen in Braunkohle- und GuD-Kraftwerke werden mit der auslaufenden Gratiszuteilung von Emissionsrechten zunehmend unrentabler. Die Rentabilität wird durch Strommarkteffekte der erneuerbaren Energien und ausscheidender alter Gas- und Ölkraftwerke stetig weiter untergraben. Steinkohlekraftwerke erweisen sich selbst mit anfänglicher Gratiszuteilung als riskante Investition. Die festgestellten Anreizprobleme für Neuinvestitionen sollten jedoch nicht dem Emissionshandel zugeschrieben werden, sondern resultieren aus den an Grenzkosten orientierten Strompreisen. Das Anreizproblem ist allerdings bei moderaten CO2-Preisen am größten. Es gilt auch für Kraftwerke mit CO2-Abscheidung: Obwohl die erwarteten Vermeidungskosten für CCS-Kraftwerke gegenüber konventionellen Kohlekraftwerken im Jahr 2025 auf 25 €/t CO2 (Braunkohle) bzw. 38,5 €/t CO2 (Steinkohle) geschätzt werden, wird ihr Bau erst ab CO2-Preisen von 50 bzw. 77 €/t CO2 rentabel. Ob und welche Kraftwerksinvestitionen sich langfristig rechnen, wird letztlich aber politisch entschieden und ist selbst unter stark idealisierten Bedingungen kaum vorhersagbar.
Power plant investors face large uncertainties due to ongoing liberalization, climate policy, and long investment horizons. This study provides a probabilistic appraisal of power plant investments within the framework of Bayesian decision theory. A Bayesian influence diagram is used for setting up a discounted cash flow model and analysing the profitability of power plants. As the study explicitly models merit order pricing, the pass-through of random fuel and carbon costs may be analysed. The study derives probabilistic statements about net present values of single investments and company portfolios and explores the sensitivity of profits to variations of select input variables. In the majority of cases, an increase in the price of emission allowances also increases the net present value of existing power plant portfolios. A substantially increased carbon prices also is the prerequisite to diversify power plant portfolios by gas and CCS plants. For the currently prevailing German electricity market, we argue that investors may lack incentives for new investments in fossil generation, a finding that holds true also with implementation of CCS. Our estimates are conservative, as profitability will further deteriorate with the build-up of renewables.
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Molinares, Carlos A. "Parametric and Bayesian Modeling of Reliability and Survival Analysis." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3252.

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The objective of this study is to compare Bayesian and parametric approaches to determine the best for estimating reliability in complex systems. Determining reliability is particularly important in business and medical contexts. As expected, the Bayesian method showed the best results in assessing the reliability of systems. In the first study, the Bayesian reliability function under the Higgins-Tsokos loss function using Jeffreys as its prior performs similarly as when the Bayesian reliability function is based on the squared-error loss. In addition, the Higgins-Tsokos loss function was found to be as robust as the squared-error loss function and slightly more efficient. In the second study, we illustrated that--through the power law intensity function--Bayesian analysis is applicable in the power law process. The power law intensity function is the key entity of the power law process (also called the Weibull process or the non-homogeneous Poisson process). It gives the rate of change of a system's reliability as a function of time. First, using real data, we demonstrated that one of our two parameters behaves as a random variable. With the generated estimates, we obtained a probability density function that characterizes the behavior of this random variable. Using this information, under the commonly used squared-error loss function and with a proposed adjusted estimate for the second parameter, we obtained a Bayesian reliability estimate of the failure probability distribution that is characterized by the power law process. Then, using a Monte Carlo simulation, we showed the superiority of the Bayesian estimate compared with the maximum likelihood estimate and also the better performance of the proposed estimate compared with its maximum likelihood counterpart. In the next study, a Bayesian sensitivity analysis was performed via Monte Carlo simulation, using the same parameter as in the previous study and under the commonly used squared-error loss function, using mean square error comparison. The analysis was extended to the second parameter as a function of the first, based on the relationship between their maximum likelihood estimates. The simulation procedure demonstrated that the Bayesian estimates are superior to the maximum likelihood estimates and that the selection of the prior distribution was sensitive. Secondly, we found that the proposed adjusted estimate for the second parameter has better performance under a noninformative prior. In the fourth study, a Bayesian approach was applied to real data from breast cancer research. The purpose of the study was to investigate the applicability of a Bayesian analysis to survival time of breast cancer data and to justify the applicability of the Bayesian approach to this domain. The estimation of one parameter, the survival function, and hazard function were analyzed. The simulation analysis showed that the Bayesian estimate of the parameter performed better compared with the estimated value under the Wheeler procedure. The excellent performance of the Bayesian estimate is reflected even for small sample sizes. The Bayesian survival function was also found to be more efficient than its parametric counterpart. In the last study, a Bayesian analysis was carried out to investigate the sensitivity to the choice of the loss function. One of the parameters of the distribution that characterized the survival times for breast cancer data was estimated applying a Bayesian approach and under two different loss functions. Also, the estimates of the survival function were determined under the same setting. The simulation analysis showed that the choice of the squared-error loss function is robust in estimating the parameter and the survival function.
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Tanaka, Hideyuki. "The Relationship between Supervisors' Power Bases and Supervisory Styles." ScholarWorks@UNO, 2009. http://scholarworks.uno.edu/td/1025.

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Despite its critical role in counselor training, empirical research on clinical supervision is generally limited (Bernard & Goodyear, 2003; Ellis & Ladany, 2007). This is also applied to an area of power dynamics in supervision. This study tested the relationship between the two aspects of power dynamics; namely, supervisors' power bases (i.e., sources of influencing others) and supervisory styles (i.e., typical ways of shaping supervision), based on the system's approach to supervision model (Holloway, 1995). This research was a correlational design. Students in masters' and doctoral counseling programs were asked to respond to an online questionnaire packet via Survey MonkeyTM. Of those who responded, 492 students who took supervision with professor or doctoral student supervisors constituted the sample. Varied numbers of participants were used for each analysis after missing or extreme data were deleted. Supervisors' usage of power bases and supervisory styles were measured by the adopted version of Interpersonal Power Inventory (Raven, Schwarzwald, & Koslowsky, 1998) and Supervisory Style Inventory (SSI; Friedlander & Ward, 1984), respectively. In part 1, results of factor analyses revealed four first-order power factors and two higher-order power factors (Soft & Harsh). Schmeid-Leiman's (1957) solution was also applied. In part 2, result of correlation analysis in revealed that supervisors' usage of Soft or Soft-type power factor (Idealized Expert) was moderately positively correlated to all three supervisory styles but that usage of Harsh or Harsh-type factors (Compensatory Obligation, Relational Power, & Collaborative Alliance) was only weakly correlated to supervisory styles, for majority of supervisors. Similarly, results of regression analyses revealed that supervisory styles did not significantly predict supervisors' usage of Harsh factor, but both supervisory styles and usage of ix Harsh factor significantly predicted usage of Soft factor at moderate and strong level, respectively. The interpersonally-sensitive styles predicted Soft factor slightly more strongly than the other styles. It was concluded that supervisors who engaged in supervision with any one of three supervisory styles also tended to use more Soft or Soft-type factor when there are disagreements, but rarely used Harsh or Harsh types.
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Deus, Daniella Pereira de. "Qualidade de Vida no Trabalho: análise de um modelo mediacional." Pontifícia Universidade Católica de Goiás, 2006. http://localhost:8080/tede/handle/tede/1942.

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This study aimed at analyzing the mediating power of organizational values in the relation between the power bases and life quality at work. In order to do so, we propose an analysis model that investigates the influence of the organizational values in the relation between the power bases and life quality at work. We counted on the participation of 227 workers of four organizations a public one, philanthropic one and two private ones. The instruments used in order to collect the data were: an organizational values inventory, a scale of perception of the power bases and the scale of perception of life quality at work. The collected data were analyzed with the use of SPSS - Statistical Package for the Social Sciences, version 12.0. The results of the analysis show that only the organizational value conservation mediates the relation between the power bases of legal prerogatives and resources control and life quality at work. Among the biographical values, only the gender influenced life quality at work.
Este estudo teve como objetivo analisar o poder mediacional dos Valores Organizacionais na relação entre as Bases de Poder e a Qualidade de Vida no Trabalho. Para tal, propõe um modelo de análise que investiga a influência dos Valores Organizacionais na relação entre as Bases de Poder e a Qualidade de Vida no Trabalho. A realização do estudo contou com a participação de 229 trabalhadores de quatro organizações, sendo uma pública, uma filantrópica e duas privadas. Os instrumentos utilizados foram: Inventário de Valores Organizacionais, Escala de Percepção de Bases de Poder e Escala de Percepção de Qualidade de Vida no Trabalho. Os dados recolhidos foram analisados utilizando o SPSS - Statistical Package for the Social Sciences, versão 12.0. Os resultados das análises demonstraram que apenas o Valor Organizacional Conservação medeia à relação entre as Bases de Poder Prerrogativas Legais e Controle de Recursos e a Qualidade de Vida no Trabalho. Dentre as variáveis biográficas, apenas o gênero demonstrou ter influência na Qualidade de Vida no Trabalho.
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Kelham, C. A. "Bases of magnatial power in later fifteenth-century Scotland." Thesis, University of Edinburgh, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372968.

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Chow, David J. "Exploring the feasibility of providing electrical power to remote bases via space-based solar power satellites." Monterey California. Naval Postgraduate School, 2013. http://hdl.handle.net/10945/34645.

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Delivering electrical power to remote military bases can be an expensive and dangerous task. The idea of delivering renewable power to remote military bases through space-based solar power has existed for many years, but has not yet materialized. This research sought to examine existing studies and leverage their findings to determine a systems architecture and subsequent design alternatives that could deliver space-based solar power to a military base in Afghanistan. Three design alternatives were created and were based on the defined systems architecture. The system attributes vary by design alternative, to include transmitter size, rectenna size, power transmitted, mass of components, and number of launches required. The design attributes were weighted accordingly to stakeholder objectives. In turn, the entire design alternative was given a Measure of Effectiveness score. This score was used to determine the most effective design alternative among the designs presented in this research. The result is one of the three designs conclusively meets stakeholder requirements and is more effective than the others, yet further research should be done to improve the design and address other concerns, such as the extremely high cost of the system and the potential environmental and safety issues of the high-power microwave beam.
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Books on the topic "Bayes power"

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Wrong, Dennis Hume. Power: Its forms, bases, and uses. New Brunswick, N.J: Transaction Publishers, 1995.

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Gaál, István. Diophantine Equations and Power Integral Bases. Boston, MA: Birkhäuser Boston, 2002. http://dx.doi.org/10.1007/978-1-4612-0085-7.

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Gaál, István. Diophantine Equations and Power Integral Bases. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23865-0.

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Power: Its Forms, Bases and Uses. London: Taylor and Francis, 2017.

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Heinemann, Patrick. Power Bases and Informational Influence Strategies. Wiesbaden: Springer Fachmedien, 2008.

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Joseph, Appelbaum, and United States. National Aeronautics and Space Administration., eds. Photovoltaic power system considerations for future lunar bases. [Washington, DC]: National Aeronautics and Space Administration, 1989.

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Power, its forms, bases, and uses: With a new preface. Chicago: University of Chicago Press, 1988.

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S, Coleman Anthony, and United States. National Aeronautics and Space Administration., eds. Power management and distribution considerations for a lunar base. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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C, Riddle Anthony, and Aeronomy Laboratory (U.S.), eds. Poker Flat MST radar data bases. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Aeronomy Laboratory, 1989.

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C, Riddle Anthony, and Aeronomy Laboratory (U.S.), eds. Poker Flat MST radar data bases. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Aeronomy Laboratory, 1989.

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Book chapters on the topic "Bayes power"

1

Lerche, Hans Rudolf. "Bayes tests of power one." In Lecture Notes in Statistics, 100–103. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4615-6569-7_7.

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Shivakumar, B. R., and B. G. Nagaraja. "Bayes’ Classifier for Mapping Intermediate and Heterogeneous RS Imagery." In Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems, 9–23. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0443-0_2.

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Ye, Meng, Huaxu Zhou, Yaodong Ju, Guanjin Huang, Miaogeng Wang, Xuhui Zhang, and Meiling Dai. "Congestion Link Inference Algorithm of Power Data Network Based on Bayes Theory." In Advances in Intelligent Systems and Computing, 899–907. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_104.

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Shrivastava, Divya Rishi, Shahbaz Ahmed Siddiqui, and Kusum Verma. "Synchrophasor Measurements Assisted Naïve Bayes Classification Based Real-Time Transient Stability Prediction of Power System." In Intelligent Computing Techniques for Smart Energy Systems, 973–80. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0214-9_103.

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Narasimhan, S., and V. Rajendran. "SVM and Naïve Bayes Models for Estimation of Key Process Variables in Nuclear Power Plant." In Studies in Computational Intelligence, 289–300. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68291-0_22.

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Chen, Liming, Xuzhu Dong, Baoren Chen, Xiaoping Qiu, Zhengrong Wu, Zhiwen Liu, and Qunying Lei. "Research on Power-Stealing Behaviors of Large Users Based on Naive Bayes and K-means Algorithm." In Proceedings of the 11th International Conference on Computer Engineering and Networks, 358–67. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6554-7_41.

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Lerche, Hans Rudolf. "An application of the tangent approximation: a heuristic derivation of the shape of Bayes tests of power one." In Lecture Notes in Statistics, 104–8. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4615-6569-7_8.

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Gaál, István. "Relative Power Integral Bases." In Diophantine Equations and Power Integral Bases, 113–27. Boston, MA: Birkhäuser Boston, 2002. http://dx.doi.org/10.1007/978-1-4612-0085-7_9.

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Bolland, Eric. "The Eight Bases of Power." In Clout, 55–78. New York: Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137348210_3.

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Wehenkel, Louis A. "Security Information Data Bases." In Automatic Learning Techniques in Power Systems, 175–92. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5451-6_9.

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Conference papers on the topic "Bayes power"

1

Binh, P. T. T., T. T. T. Loan, and T. Q. D. Khoa. "Application of hidden Markov and Bayes for demand forecasting." In 2006 IEEE Power India Conference. IEEE, 2006. http://dx.doi.org/10.1109/poweri.2006.1632568.

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Wang, Jidong, and Chengshan Wang. "Bayes Method of Power Quality Disturbance Classification." In TENCON 2005 - 2005 IEEE Region 10 Conference. IEEE, 2005. http://dx.doi.org/10.1109/tencon.2005.300847.

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Wang, Shihe, Jianfeng Ren, Xiaoyu Lian, Ruibin Bai, and Xudong Jiang. "Boosting the Discriminant Power of Naive Bayes." In 2022 26th International Conference on Pattern Recognition (ICPR). IEEE, 2022. http://dx.doi.org/10.1109/icpr56361.2022.9956358.

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Chiodo, E., D. Lauria, and C. Pisani. "Bayes Estimation of Wind Speed Extreme Values." In 3rd Renewable Power Generation Conference (RPG 2014). Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.0911.

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Kumar, Ashwini, Sanjoy Das, and Vishu Tyagi. "Anti Money Laundering detection using Naïve Bayes Classifier." In 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON). IEEE, 2020. http://dx.doi.org/10.1109/gucon48875.2020.9231226.

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Foster, David, Xueqin Amy Liu, Mark Rafferty, and David Laverty. "Variable-Length Event Classification using PMU Data with Naïve Bayes." In 2022 57th International Universities Power Engineering Conference (UPEC). IEEE, 2022. http://dx.doi.org/10.1109/upec55022.2022.9917895.

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Chiodo, E., D. Lauria, F. Mottola, and N. Andrenacci. "On line Bayes Estimation of Capacity Fading for Battery Lifetime Assessment." In 2019 International Conference on Clean Electrical Power (ICCEP). IEEE, 2019. http://dx.doi.org/10.1109/iccep.2019.8890119.

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Chiodo, E., and D. Lauria. "Bayes prediction of wind gusts for Wind Power Plants Reliability Estimation." In 2011 International Conference on Clean Electrical Power (ICCEP). IEEE, 2011. http://dx.doi.org/10.1109/iccep.2011.6036298.

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Chiodo, E., G. Mazzanti, and M. Karimian. "Bayes estimation of Inverse Weibull distribution for extreme wind speed prediction." In 2015 International Conference on Clean Electrical Power (ICCEP). IEEE, 2015. http://dx.doi.org/10.1109/iccep.2015.7177587.

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Battistelli, L., E. Chiodo, and D. Lauria. "Bayes assessment of photovoltaic inverter system reliability and availability." In 2010 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2010). IEEE, 2010. http://dx.doi.org/10.1109/speedam.2010.5542241.

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Reports on the topic "Bayes power"

1

Bloomfield, H. S. Small reactor power systems for manned planetary surface bases. Office of Scientific and Technical Information (OSTI), December 1987. http://dx.doi.org/10.2172/5490023.

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Wilson, Suzanne H. Joint Military Bases: Power Projection Platforms for the 21st Century. Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada326980.

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Rittmann, Bruce E., Cesar I. Torres, Rosa Krajmalnik-Brown, Sudeep Popat, and Prathap Parameswaran. Development of an Acetate- or Sugar-fed Microbial Power Generator for Military Bases. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada563618.

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Rittmann, Bruce E. Development of an Acetate-Fed or Sugar-Fed Microbial Power Generator for Military Bases. Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada535271.

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Abrahamson, S., M. Bender, S. Book, C. Buncher, C. Denniston, E. Gilbert, F. Hahn, V. Hertzberg, H. Maxon, and B. Scott. Health effects models for nuclear power plant accident consequence analysis: Low LET radiation: Part 2, Scientific bases for health effects models. Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/5901689.

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Faundes Peñafiel, Juan Jorge. Una Nueva Constitución Plurinacional. Bases para la discusión. Comisión 1. Sistema Político, Gobierno, Poder Legislativo y Sistema Electoral. Universidad Autónoma de Chile, September 2022. http://dx.doi.org/10.32457/12728/10148202264.

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El Estado de Chile no ha reconocido a los pueblos indígenas en su Constitución a 30 años del retorno a la democracia y sus derechos solo se fueron incorporando por la vía de la ratificación de instrumentos internacionales en materia de derechos humanos. Desde esa perspectiva, el “control de convencionalidad” de la Corte Interamericana de Derechos Humanos (Corte IDH) adquirió un rol central, más allá de sus luces y sombras en el debate doctrinario. Tras la “crisis social” de octubre de 2019 y el proceso constituyente que desencadenó, se instaló la cuestión del reconocimiento de los pueblos indígenas como uno de los ejes del debate constituyente. En este trabajo se plantean, varias premisas relevantes de discutir sobre el reconocimiento constitucional de los pueblos indígenas durante en el proceso constituyente −con plena participación indígena− se espera sean un insumo en la deliberación constituyente de la Convención Constitucional.
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Castaño Reyero, María José, Tomás Aller Floreancig, Clara Isabel Barrio Lema, Isabel Díez Velasco, Javier Izquierdo García, Gizela Maffeis Pacheco, and Ana Cristina Suja Lucía. Cultura de datos en la trata de seres humanos: informe técnico de investigación. Universidad Pontificia Comillas, February 2022. http://dx.doi.org/10.14422/iuem.20220218.

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Este proyecto, liderado por el Instituto Universitario de Estudios sobre Migraciones (IUEM) en colaboración con Unicef Comité Español, investiga las tendencias, lagunas y retos a la hora de recoger, analizar, compartir y utilizar los datos en materia de trata de seres humanos con el fin de poder tomar mejores decisiones. Para ello, se ha servido de dos herramientas esenciales: la estadística y la innovación tecnológica. Tras más de dos años de investigación, el proyecto Cultura de Datos en la Trata de Seres Humanos ha logrado estimar la “cifra oculta” de víctimas de trata en la Comunidad Autónoma de Madrid para el periodo 2015-2019, y ha sentado las bases para una aplicación tecnológica basada en tecnología blockchain permita el acceso a derechos de las personas en procesos de trata y explotación, así como la interoperabilidad institucional de las organizaciones y autoridades que las asisten.
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Castaño Reyero, María José, Clara Isabel Barrio Lema, Isabel Díez Velasco, Gizela Maffeis Pacheco, and Almudena Olaguibel Echevarría-Torres. Qué sabemos y cómo lo contamos: Cultura de datos en la trata de seres humanos. Universidad Pontificia Comillas, February 2022. http://dx.doi.org/10.14422/iuem.20220214.

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Abstract:
Este informe corto narra la experiencia del proyecto Cultura de Datos en la Trata de Seres Humanos, liderado por el Instituto Universitario de Estudios sobre Migraciones (IUEM) en colaboración con Unicef Comité Español. Durante más de dos años, el proyecto ha investigado las tendencias, lagunas y retos a la hora de recoger, analizar, compartir y utilizar los datos en materia de trata de seres humanos con el fin de poder tomar mejores decisiones. Una vez hecho el análisis, se ha servido de dos herramientas esenciales para presentar dos posibles soluciones: una estadística y una tecnológica. Con la primera, se ha logrado estimar la “cifra oculta” de víctimas de trata en la Comunidad Autónoma de Madrid para el periodo 2015-2019. Con la segunda, se han sentado las bases para una aplicación tecnológica basada en tecnología blockchain permita el acceso a derechos de las personas en procesos de trata y explotación, así como la interoperabilidad institucional de las organizaciones y autoridades que las asisten.
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9

Abrahamson, S., M. A. Bender, B. B. Boecker, B. R. Scott, and E. S. Gilbert. Health effects models for nuclear power plant accident consequence analysis. Modification of models resulting from addition of effects of exposure to alpha-emitting radionuclides: Revision 1, Part 2, Scientific bases for health effects models, Addendum 2. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10153043.

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