Relevant bibliographies by topics / Marginal probability

Academic literature on the topic 'Marginal probability'

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Published: 4 June 2021
Last updated: 24 January 2023

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Journal articles on the topic "Marginal probability"

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Xiao, Yongshun. "THE MARGINAL PROBABILITY DENSITY FUNCTIONS OF WISHART PROBABILITY DENSITY FUNCTION." Far East Journal of Theoretical Statistics 54, no. 3 (May 1, 2018): 239–326. http://dx.doi.org/10.17654/ts054030239.

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Seneta, E. "Multivariate Probability in Terms of Marginal Probability and Correlation Coefficient." Biometrical Journal 29, no. 3 (1987): 375–80. http://dx.doi.org/10.1002/bimj.4710290321.

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Peng, Hanxiang, and Anton Schick. "Improving efficient marginal estimators in bivariate models with parametric marginals." Statistics & Probability Letters 79, no. 23 (December 2009): 2437–42. http://dx.doi.org/10.1016/j.spl.2009.08.022.

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AL-Moisheer, A. S., Refah Mohammed Alotaibi, Ghadah A. Alomani, and H. Rezk. "Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation." Mathematical Problems in Engineering 2020 (March 28, 2020): 1–12. http://dx.doi.org/10.1155/2020/5234601.

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In this study, we construct a mixture of bivariate inverse Weibull distribution. We assumed that the parameters of two marginals have Bernoulli distributions. Several properties of the proposed model are obtained, such as probability marginal density function, probability marginal cumulative function, the product moment, the moment of the two variables x and y, the joint moment-generating function, and the correlation between x and y. The real dataset has been analyzed. We observed that the mixture bivariate inverse Weibull distribution provides a better fit than the other model.
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Leisink, M., and B. Kappen. "Bound Propagation." Journal of Artificial Intelligence Research 19 (August 1, 2003): 139–54. http://dx.doi.org/10.1613/jair.1130.

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In this article we present an algorithm to compute bounds on the marginals of a graphical model. For several small clusters of nodes upper and lower bounds on the marginal values are computed independently of the rest of the network. The range of allowed probability distributions over the surrounding nodes is restricted using earlier computed bounds. As we will show, this can be considered as a set of constraints in a linear programming problem of which the objective function is the marginal probability of the center nodes. In this way knowledge about the maginals of neighbouring clusters is passed to other clusters thereby tightening the bounds on their marginals. We show that sharp bounds can be obtained for undirected and directed graphs that are used for practical applications, but for which exact computations are infeasible.
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Picinbono, B. "ARMA Signals With Specified Symmetric Marginal Probability Distribution." IEEE Transactions on Signal Processing 58, no. 3 (March 2010): 1542–52. http://dx.doi.org/10.1109/tsp.2009.2037076.

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Cole, S. R., and M. A. Hernan. "Constructing Inverse Probability Weights for Marginal Structural Models." American Journal of Epidemiology 168, no. 6 (July 15, 2008): 656–64. http://dx.doi.org/10.1093/aje/kwn164.

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Nguyen, Truc T., and Allan R. Sampson. "The geometry of certain fixed marginal probability distributions." Linear Algebra and its Applications 70 (October 1985): 73–87. http://dx.doi.org/10.1016/0024-3795(85)90044-8.

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Gao, Wei, and Satoshi Kuriki. "Testing marginal homogeneity against stochastically ordered marginals for r×r contingency tables." Journal of Multivariate Analysis 97, no. 6 (July 2006): 1330–41. http://dx.doi.org/10.1016/j.jmva.2005.12.004.

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Hamada, Michiaki. "Direct Updating of an RNA Base-Pairing Probability Matrix with Marginal Probability Constraints." Journal of Computational Biology 19, no. 12 (December 2012): 1265–76. http://dx.doi.org/10.1089/cmb.2012.0215.

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Dissertations / Theses on the topic "Marginal probability"

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Tejeda, Abiezer. "Correcting Errors Due to Species Correlations in the Marginal Probability Density Evolution." DigitalCommons@USU, 2013. https://digitalcommons.usu.edu/etd/1472.

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Synthetic biology is an emerging field that integrates and applies engineering design methods to biological systems. Its aim is to make biology an "engineerable" science. Over the years, biologists and engineers alike have abstracted biological systems into functional models that behave similarly to electric circuits, thus the creation of the subfield of genetic circuits. Mathematical models have been devised to simulate the behavior of genetic circuits in silico. Most models can be classified into deterministic and stochastic models. The work in this dissertation is for stochastic models. Although ordinary differential equation (ODE) models are generally amenable to simu- late genetic circuits, they wrongly assume that a system's chemical species vary continuously and deterministically, thus making erroneous predictions when applied to highly stochastic systems. Stochastic methods have been created to take into account the variability, un- predictability, and discrete nature of molecular populations. The most popular stochastic method is the stochastic simulation algorithm (SSA). These methods provide a single path of the overall pool of possible system's behavior. A common practice is to take several inde- pendent SSA simulations and take the average of the aggregate. This approach can perform iv well in low noise systems. However, it produces incorrect results when applied to networks that can take multiple modes or that are highly stochastic. Incremental SSA or iSSA is a set of algorithms that have been created to obtain ag- gregate information from multiple SSA runs. The marginal probability density evolution (MPDE) algorithm is a subset of iSSA which seeks to reveal the most likely "qualitative" behavior of a genetic circuit by providing a marginal probability function or statistical enve- lope for every species in the system, under the appropriate conditions. MPDE assumes that species are statistically independent given the rest of the system. This assumption is satisfied by some systems. However, most of the interesting biological systems, both synthetic and in nature, have correlated species forming conservation laws. Species correlation imposes con- straints in the system that are broken by MPDE. This work seeks to devise a mathematical method and algorithm to correct conservation constraints errors in MPDE. Furthermore, it aims to identify these constraints a priori and efficiently deliver a trustworthy result faithful to the true behavior of the system.
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Nåtman, Jonatan. "The performance of inverse probability of treatment weighting and propensity score matching for estimating marginal hazard ratios." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385502.

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Propensity score methods are increasingly being used to reduce the effect of measured confounders in observational research. In medicine, censored time-to-event data is common. Using Monte Carlo simulations, this thesis evaluates the performance of nearest neighbour matching (NNM) and inverse probability of treatment weighting (IPTW) in combination with Cox proportional hazards models for estimating marginal hazard ratios. Focus is on the performance for different sample sizes and censoring rates, aspects which have not been fully investigated in this context before. The results show that, in the absence of censoring, both methods can reduce bias substantially. IPTW consistently had better performance in terms of bias and MSE compared to NNM. For the smallest examined sample size with 60 subjects, the use of IPTW led to estimates with bias below 15 %. Since the data were generated using a conditional parametrisation, the estimation of univariate models violates the proportional hazards assumption. As a result, censoring the data led to an increase in bias.
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Ortiz, Huerta Gonzalo. "Determinantes de la brecha de género en la inclusión financiera del Perú durante el 2016." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/626393.

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La presente investigación tiene como objetivo central identificar cuáles son los principales determinantes que influyen en la brecha de género en la inclusión financiera del Perú durante 2016. En tal sentido, se utiliza la Encuesta Nacional de Demanda de Servicios Financieros y Nivel de Cultura Financiera (ENIF, 2016), en la cual se encuestó a 6,303 individuos seleccionados al azar, formando una muestra representativa de todo el Perú, y se realiza la estimación de modelos de elección discreta (logit y probit). Además, se calculan los impactos marginales de las variables socioeconómicas sobre la posesión de cuentas de ahorro y tarjetas de crédito tanto para varones como mujeres. Los resultados muestran que el nivel educativo es la variable que genera un mayor aumento en la probabilidad de acceder al sistema financiero aunque no de manera muy diferenciada entre géneros; mientras que la posesión de activos, relación de parentesco, residencia y estado civil generan impactos menores en el género femenino.
The main objective of this research is to identify the main determinants that influence the gender gap in the financial inclusion of Peru during 2016. In this sense, the National Survey of Demand for Financial Services and Level of Financial Culture (ENIF, 2016) is used, in which 6,303 randomly selected individuals were surveyed, forming a representative sample of Peru. The estimation of discrete choice models (logit and probit) is made. In addition, the marginal impacts of socioeconomic variables on the possession of savings accounts and credit cards for both men and women are calculated. The results show that the educational level is the variable that generates a greater increase in the probability of accessing the financial system although not in a very differentiated way between genders; while the possession of assets, kinship relationship, residence and marital status generate minor impacts on the female gender.
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Börsum, Jakob. "Estimating Causal Effects Of Relapse Treatment On The Risk For Acute Myocardial Infarction Among Patients With Diffuse Large B-Cell Lymphoma." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447241.

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This empirical register study intends to estimate average causal effects of relapse treatment on the risk for acute myocardial infarction (AMI) among patients with Diffuse B-Cell Lymphoma (DLBCL) within the potential outcome framework. The report includes a brief introduction to causal inference and survival anal- ysis and mentions specific causal parameters of interest that will be estimated. A cohort of 2887 Swedish DLBCL patients between 2007 and 2014 were included in the study where 560 patients suffered a relapse. The relapse treatment is hypothesised to be cardiotoxic and induces an increased risk of heart diseases. The identifiability assumptions need to hold to estimate average causal effects and are assessed in this report. The patient cohort is weighted using inverse probability of treatment and censoring weights and potential marginal survival curves are estimated from marginal structural Cox models. The resulting point estimate indicates a protective causal effect of relapse treatment on AMI but estimated bootstrap confidence intervals suggest no significant effect on the 5% significance level.
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Davis, Brett Andrew, and Brett Davis@abs gov au. "Inference for Discrete Time Stochastic Processes using Aggregated Survey Data." The Australian National University. Faculty of Economics and Commerce, 2003. http://thesis.anu.edu.au./public/adt-ANU20040806.104137.

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We consider a longitudinal system in which transitions between the states are governed by a discrete time finite state space stochastic process X. Our aim, using aggregated sample survey data of the form typically collected by official statistical agencies, is to undertake model based inference for the underlying process X. We will develop inferential techniques for continuing sample surveys of two distinct types. First, longitudinal surveys in which the same individuals are sampled in each cycle of the survey. Second, cross-sectional surveys which sample the same population in successive cycles but with no attempt to track particular individuals from one cycle to the next. Some of the basic results have appeared in Davis et al (2001) and Davis et al (2002).¶ Longitudinal surveys provide data in the form of transition frequencies between the states of X. In Chapter Two we develop a method for modelling and estimating the one-step transition probabilities in the case where X is a non-homogeneous Markov chain and transition frequencies are observed at unit time intervals. However, due to their expense, longitudinal surveys are typically conducted at widely, and sometimes irregularly, spaced time points. That is, the observable frequencies pertain to multi-step transitions. Continuing to assume the Markov property for X, in Chapter Three, we show that these multi-step transition frequencies can be stochastically interpolated to provide accurate estimates of the one-step transition probabilities of the underlying process. These estimates for a unit time increment can be used to calculate estimates of expected future occupation time, conditional on an individual’s state at initial point of observation, in the different states of X.¶ For reasons of cost, most statistical collections run by official agencies are cross-sectional sample surveys. The data observed from an on-going survey of this type are marginal frequencies in the states of X at a sequence of time points. In Chapter Four we develop a model based technique for estimating the marginal probabilities of X using data of this form. Note that, in contrast to the longitudinal case, the Markov assumption does not simplify inference based on marginal frequencies. The marginal probability estimates enable estimation of future occupation times (in each of the states of X) for an individual of unspecified initial state. However, in the applications of the technique that we discuss (see Sections 4.4 and 4.5) the estimated occupation times will be conditional on both gender and initial age of individuals.¶ The longitudinal data envisaged in Chapter Two is that obtained from the surveillance of the same sample in each cycle of an on-going survey. In practice, to preserve data quality it is necessary to control respondent burden using sample rotation. This is usually achieved using a mechanism known as rotation group sampling. In Chapter Five we consider the particular form of rotation group sampling used by the Australian Bureau of Statistics in their Monthly Labour Force Survey (from which official estimates of labour force participation rates are produced). We show that our approach to estimating the one-step transition probabilities of X from transition frequencies observed at incremental time intervals, developed in Chapter Two, can be modified to deal with data collected under this sample rotation scheme. Furthermore, we show that valid inference is possible even when the Markov property does not hold for the underlying process.
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Farmer, R. E. "Application of marginal structural models with inverse probability of treatment weighting in electronic health records to investigate the benefits and risks of first line type II diabetes treatments." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2017. http://researchonline.lshtm.ac.uk/4646129/.

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Background: Electronic healthcare records (EHRs) provide opportunities to estimate the effects of type two diabetes (T2DM) treatments on outcomes such as cancer and cardiovascular disease. Marginal structural models (MSMs) with inverse probability of treatment weights (IPTW) can correctly estimate the causal effect of time-varying treatment in the presence of time-dependent confounders such as HbA1c. Dynamic MSMs can be used to compare dynamic treatment strategies. This thesis applies weighted MSMs and dynamic MSMs to explore risks and benefits of early-stage T2DM treatments, and considers the practicalities/impact of using these models in a complex clinical setting with a challenging data source. Methods and Findings: A cohort of patients with newly diagnosed T2DM was identified from the Clinical Practice Research Datalink. MSMs with IPTW were used to estimate the causal effect of metformin monotherapy on cancer risk, and the effects of metformin and sulfonylurea monotherapies on risks of MI, stroke, all-cause mortality, and HbA1c trajectory. Dynamic MSMs were implemented to compare HbA1c thresholds for treatment initiation on risks of MI, stroke, all-cause mortality (ACM) and glucose control. No association was found between metformin use and cancer risk. Metformin and sulfonylureas led to better HbA1c control than diet only, as expected, and there was some evidence of reduced MI risk with long-term metformin use. Changes in estimates between standard models and weighted models were generally in the expected direction given hypothesised time-dependent confounding. For stroke and ACM, results were less conclusive, with some suggestions of residual confounding. Higher HbA1c thresholds for treatment initiation reduced the likelihood of reaching target HbA1c, and there was a suggestion that higher initiation thresholds increased MI risk. Conclusions: Fitting weighted MSMs and dynamic MSMs was feasible using routine primary care data. The models appeared to work well in controlling for strong time-dependent confounding with short-term outcomes; results for longer-term outcomes were less conclusive.
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Toll, Kristopher C. "Using a Discrete Choice Experiment to Estimate Willingness to Pay for Location Based Housing Attributes." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7657.

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In 1993, a travel study was conducted along the Wasatch front in Utah (Research Systems Group INC, 2013). The main purpose of this study was to assess travel behavior to understand the needs for future growth in Utah. Since then, the Research Service Group (RSG), conducted a new study in 2012 to understand current travel preferences in Utah. This survey, called the Residential Choice Stated Preference survey, asked respondents to make ten choice comparisons between two hypothetical homes. Each home in the choice comparison was described by different attributes, those attributes that were used are, type of neighborhood, distance from important destinations, distance from access to public transport, street design, parking availability, commute distance to work, and price. The survey was designed to determine the extent to which Utah residents prefer alternative household attributes in a choice selection. Each attribute contained multiple characteristic levels that were randomly combined to define each alternative home in each choice comparison. Those choices can be explained by Random Utility Theory. Multinomial logistic regression will be used to estimate changes in utility when alternative attribute levels are present in a choice comparison. Using the coefficient estimate for price, a marginal willingness to pay (MWTP) for each attribute level will be calculated. This paper will use two different approaches to obtain MWTP estimates. Method One will use housing and rent price to recode the price variable in dollar terms as defined in the discrete choice experiment. Method Two will recode the price variable as an average ten percent change in home value to extrapolate a one-time payment for homes. As a result, we found that it is possible to obtain willingness to pay estimates using both methods. The resulting interpretations in dollar terms became more relatable. Metropolitan planning organization can use these results to understand how residents perceive home value in dollar terms in the context of location-based attributes for homes.
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Chen, Dandan. "Amended Estimators of Several Ratios for Categorical Data." Digital Commons @ East Tennessee State University, 2006. https://dc.etsu.edu/etd/2218.

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Point estimation of several association parameters in categorical data are presented. Typically, a constant is added to the frequency counts before the association measure is computed. We will study the accuracy of these adjusted point estimators based on frequentist and Bayesian methods respectively. In particular, amended estimators for the ratio of independent Poisson rates, relative risk, odds ratio, and the ratio of marginal binomial proportions will be examined in terms of bias and mean squared error.
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Liljedahl, Ida, and Ebba Rondahl. "Driving factors for growing companies." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275667.

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Finding a way to forecast what characteristics make a fast growing company would be useful, both for companies trying to succeed and for investment companies wanting to make successful investments. This thesis aims to develop a model describing the relationship between 9 chosen characteristics, based on real data from 2015 concerning companies that were rewarded with a DI Gasell in 2018. The final result show that half of the variables chosen to form the model have little to no relationship with the response variable EBIT margin. However, the final model consists of four variables that with statistic significance correlates with the response variable. The explanatory level is low and implies that forecasting companies growth probably can’t be done using this model. The four regressors that correlate with EBIT margin are Year of Incorporation, Operatingrevenue, Number of subsidiaries & SNI code. Although a forecast can’t be performed other insight are obtained from the research. Companies with SNI code 4, which corresponds to operating in the economic sector, affects EBIT margin in a more positive way than other sectors. Number of subsidiaries correlates fairly linearly with the response variable. Contradictory to previous research CEO characteristics are shown to be the least important factor contributing to profitability.
Att hitta ett sätt att förutspå vilka egenskaper som skapar ett snabbväxande företag kan vara användbart, både för företag som vill växa men också för investeringsbolag som letar efter gynnsamma investeringar med bra avkastning. Denna avhandling strävar efter att utveckla en modell som beskriver relationen mellan 9 utvalda variabler, baserat på data från år 2015 gällande företag som 2018 tilldelades utmärkelsen ”DI Gasell”. Den slutgiltiga modellen visar att hälften av regressorerna statistiskt signifikant påverkar responsvariabeln EBIT-marginal. Förklaringsgraden för modellen är låg, vilket antyder att sambanden inte är starka nog att kunna förutspå vilka företag som kommer att bli ”DI Gasell” med denna modell. De fyra regressorer som påverkar EBIT-marginalen mest är registreringsår, omsättning, antal dotterbolag och SNI-kod. Trots modellens låga förklaringsvärde kan andra slutsatser dras av undersökningen. Företag i ekonomisektorn påverkar EBIT-marginalen mer positivt än företag inom andra sektorer. Antal dotterbolag korrelerar relativt linjärt med respons variabeln. Till motsats från tidigare studier visar avhandlingen att ålder och kön på VD inte påverkar lönsamheten.
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David, Baker. "Martingales avec marginales spécifies." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00760040.

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Cette thèse décrit des méthodes de construction de martingales avec marginales spécifiées. La première collection de méthodes procède par quantization. C'est-à-dire en approximant une mesure par une autre mesure dont le support consiste en un nombre fini de points. Nous introduisons une méthode de quantization qui préserve l'ordre convexe. L'ordre convexe est un ordre partiel sur l'espace des mesures qui les compare en termes de leur dispertion relative. Cette nouvelle méthode de quantization présente l'avantage que si deux mesures admettent une transition de martingale alors les mesures quantisées en admettent aussi. Ceci n'est pas le cas pour la méthode de quantization habituellement utilisée en probabilités (la méthode de quantization L2). Pour les mesures quantifiés nous présentons plusieurs méthodes de construction de transition de martingale. La première méthode procède par programmation linéaire. La deuxième méthode procède par construction de matrices avec diagonale et spectre données. La troisième méthode procède par l'algorithme de Chacon et Walsh. Dans une seconde partie la thèse présente une nouvelle solution au problème du plongement de Skorokhod. Dans une troisième partie la thèse étudie la construction de martingales à temps continu avec marginales données. Des constructions sont données à l'aide du draps Brownien. D'autres constructions sont données en modifiant une méthode développée par Albin, les martingales construites ainsi possèdent une propriété de scaling.. Dans une partie annexe, certaines conséquences de cette théorie concernant le management du risque des options asiatiques, par rapport à leur sensibilité à la volatilité et à la maturité sont établies.
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Books on the topic "Marginal probability"

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M, Cuadras C., Fortiana Josep, and Rodriguez-Lallena José A, eds. Distributions with given marginals and statistical modelling. Dordrecht: Kluwer Academic Publishers, 2002.

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Dall’Aglio, G., S. Kotz, and G. Salinetti, eds. Advances in Probability Distributions with Given Marginals. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3466-8.

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Viktor, Beneš, and Štěpán Josef, eds. Distributions with given marginals and moment problems. Dordrecht: Kluwer Academic Publishers, 1997.

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Beneš, Viktor. Distributions with given Marginals and Moment Problems. Dordrecht: Springer Netherlands, 1997.

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Banister, Brent Arnold. Some results on a multivariate exponential distribution with identical marginal distributions. 1989.

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M, Cuadras C., Fortiana Josep, and Rodriguez-Lallena José A, eds. Distributions with given marginals and statistical modelling. Dordrecht: Kluwer Academic Publishers, 2002.

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Distributions With Given Marginals and Statistical Modeling. Springer, 2002.

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Giorgio, Dall'Aglio, Kotz Samuel, Salinetti G. 1946-, Università degli studi di Roma "La Sapienza." Dipartimento di statistica, probabilità e statistiche applicate., and Symposium on Distributions with Given Marginals (1990 : Rome, Italy), eds. Advances in probability distributions with given marginals: Beyond the copulas. Dordrecht: Kluwer Academic Publishers, 1991.

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Advances in Probability Distributions with Given Marginals: Beyond the Copulas (Mathematics and Its Applications). Springer, 1991.

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Kotz, Samuel. Advances in Probability Distributions with Given Marginals: Beyond the Copulas. Springer, 2012.

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Book chapters on the topic "Marginal probability"

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Nachlas, Joel A. "Joint, Marginal and Conditional Distributions." In Probability Foundations for Engineers, 81–112. 2nd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003294382-5.

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Kellerer, Hans G. "Indecomposable Marginal Problems." In Advances in Probability Distributions with Given Marginals, 139–49. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3466-8_8.

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Qin, Tao. "Marginal Probability Based Dual Semi-Supervised Learning." In Dual Learning, 143–51. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8884-6_9.

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Benes, Viktor, and Josef Stepan. "Extremal Solutions in the Marginal Problem." In Advances in Probability Distributions with Given Marginals, 189–206. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3466-8_10.

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Szabłowski, P. J. "On the Properties of Marginal Densities and Conditional Moments of Elliptically Contoured Measures." In Mathematical Statistics and Probability Theory, 237–52. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3963-9_18.

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Pericchi, Luis Raúl. "Marginal Probability: Its Use in Bayesian Statistics as Model Evidence." In International Encyclopedia of Statistical Science, 765–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_346.

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Metry, M. H., and A. R. Sampson. "A Family of Partial Orderings for Positive Dependence Among Fixed Marginal Bivariate Distributions." In Advances in Probability Distributions with Given Marginals, 129–38. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3466-8_7.

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Bisi, Elia, and Nikos Zygouras. "GOE and $${\mathrm{Airy}}_{2\rightarrow 1}$$ Marginal Distribution via Symplectic Schur Functions." In Probability and Analysis in Interacting Physical Systems, 191–213. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15338-0_7.

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Nocera, Silvio, and Stefania Tonin. "A Joint Probability Density Function for Reducing the Uncertainty of Marginal Social Cost of Carbon Evaluation in Transport Planning." In Advances in Intelligent Systems and Computing, 113–26. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04630-3_9.

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Harr, Patrick A., Antoni Jordi, and Luke Madaus. "Analysis of the Future Change in Frequency of Tropical Cyclone-Related Impacts Due to Compound Extreme Events." In Hurricane Risk in a Changing Climate, 87–120. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08568-0_5.

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AbstractTropical cyclone-related hazards are often comprised of compound, connected events that individually amplify the total impacts. Often, hazard risk assessments focus on one factor rather than the compound nature of multiple forcing mechanisms. It is possible that extreme event analysis in a univariate context may underestimate the probabilities and impacts of extreme events. In this study, a framework addresses multivariate analysis of risk due to compound hazards related to tropical cyclone characteristics. Combinations of observations and simulations are used to identify possible frequencies of annual chance extreme events forced via connected individual events. The framework emphasizes the statistical dependence of multiple physical variables that contribute to extreme compound events when individual events are not extreme.To make the analysis clear, specific locations are analyzed using both univariate and a joint analysis. The joint analysis is conducted using copula functions to remove the restriction that marginal distributions need come from the same family of probability functions. The primary results suggest that univariate and joint return periods for key tropical cyclone-related hazards could shorten in the future and univariate frequency analysis may underestimate the magnitude of the extreme events because the univariate analyses do not account for the dependence structure between the paired environmental factors.
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Conference papers on the topic "Marginal probability"

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Jones, P., S. Mitter, and V. Saligrama. "Revision of marginal probability assessments." In 2010 13th International Conference on Information Fusion (FUSION 2010). IEEE, 2010. http://dx.doi.org/10.1109/icif.2010.5711875.

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Ziha, Kalman. "Information of Joint and Marginal Probability Distributions." In 2007 29th International Conference on Information Technology Interfaces. IEEE, 2007. http://dx.doi.org/10.1109/iti.2007.4283770.

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Zhang, Jiankun, Hao Wang, Jing Qian, and Zhenxing Gao. "Soft MIMO Detection Using Marginal Posterior Probability Statistics." In GLOBECOM 2022 - 2022 IEEE Global Communications Conference. IEEE, 2022. http://dx.doi.org/10.1109/globecom48099.2022.10001517.

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Fazzinga, Bettina, Sergio Flesca, and Filippo Furfaro. "Abstract Argumentation Frameworks with Marginal Probabilities." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/362.

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In the context of probabilistic AAFs, we intro- duce AAFs with marginal probabilities (mAAFs) requiring only marginal probabilities of argu- ments/attacks to be specified and not relying on the independence assumption. Reasoning over mAAFs requires taking into account multiple probability distributions over the possible worlds, so that the probability of extensions is not determined by a unique value, but by an interval. We focus on the problems of computing the max and min probabil- ities of extensions over mAAFs under Dung’s se- mantics, characterize their complexity, and provide closed formulas for polynomial cases.
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Chattopadhyay, Rita, Zheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, and Jieping Ye. "Batch mode active sampling based on marginal probability distribution matching." In the 18th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2339530.2339647.

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Nan Ding, Shude Zhou, Hao Zhang, and Zengqi Sun. "Marginal probability distribution estimation in characteristic space of covariance-matrix." In 2008 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2008. http://dx.doi.org/10.1109/cec.2008.4631004.

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An, Dawn, and Joo-Ho Choi. "Improved MCMC Method for Parameter Estimation Based on Marginal Probability Density Function." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48784.

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In many engineering problems, sampling is often used to estimate and quantify the probability distribution of uncertain parameters during the course of Bayesian framework, which is to draw proper samples that follow the probabilistic feature of the parameters. Among numerous approaches, Markov Chain Monte Carlo (MCMC) has gained the most popularity due to its efficiency and wide applicability. The MCMC, however, does not work well in the case of increased parameters and/or high correlations due to the difficulty of finding proper proposal distribution. In this paper, a method employing marginal probability density function (PDF) as a proposal distribution is proposed to overcome these problems. Several engineering problems which are formulated by Bayesian approach are addressed to demonstrate the effectiveness of proposed method.
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Anwer, J., U. Khalid, N. Singh, N. H. Hamid, and V. S. Asirvadam. "Joint and marginal probability analyses of Markov Random Field networks for digital logic circuits." In Advanced Systems (ICIAS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icias.2010.5716131.

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Fowlow, D. Chad. "Wellhead Protection Concepts for Subsea Marginal Developments – Grand Banks of Newfoundland." In SNAME 7th International Conference and Exhibition on Performance of Ships and Structures in Ice. SNAME, 2006. http://dx.doi.org/10.5957/icetech-2006-128.

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A study has been undertaken to enable evaluation of wellhead protection concepts for subsea marginal developments located on the Grand Banks (Newfoundland, Canada). The study has focused mainly on concepts that maintain the probability of well blowout as a result of freely floating and scouring icebergs below accepted levels of risk. The investigation provides a framework from which intelligent decisions can be made regarding the relative benefits and costs of different protection concepts.
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Lajim Sayung, Colinus, Norashikin Hamza, Zurita Johar, M. Kamal Sahrudin, and Aizuddin Khalid. "First Marginal Deepwater Field Development: Maximizing Learnings and Probability of Success (POS) for Downhole Sand Control." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210608-ms.

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Abstract The company has extensive experience in holistic sand control and solid management for shallow water environment. Application to near-future marginal deepwater project called L-B cluster requires higher considerations on subsea umbilical, risers, and flowlines (SURF) integrity and long term well performance due to the high-cost environment. Representative field samples (e.g., cores, drill stem test (DST data) to study rock mechanics is scarce with limited in-situ stresses calibration information. This paper presents the workflow undertaken by team to de-risk and establish the downhole sand control design for both oil producer (OP) and water injector (WI) covering design, installation, and production operations philosophy. The workflow started with an extensive multidisciplinary analogue field study covering regional geological study on sand correlation to determine correct reservoir analogue as well as the deepwater fields sand control best practices and lesson learnt. Since the analogue field already have production, the study was extended to cover the production impairment impact trend and the implementation approach to derisk the field attainability target. Based on geological and geomechanical understanding, L-B regional deepwater formation characteristics with interbedded sand and shale formation does not suit certain types of sand completion methodology, as it introduces additional risk: Deformation of expandable sand screen due to the different expansion rate of sand and shale during depletion, creating weak points in which sand is mobilized into the screen tears resulted from deformation Uneven proppant placement in cased hole frac pack for OP Loss of active sand control for a cased hole frac pack and open hole gravel pack in WI due to proppant flushed away which can be further exacerbated by uneven placement This resulted in the following lower completion strategy: Open Hole Gravel Pack (OHGP) for OP and Open Hole Stand Alone Screen (OHSAS) for WI Allowance for backflushing in WI to remove screen plugging while managing risk of reverse flow impact Sufficient rathole and long horizontal well completion as dampener to minimize magnitude of water hammer/adverse reverse flow impact in WI. For detail design, team devised comprehensive laboratory analyses covering Particle Size Distribution (PSD) and Sand Retention Test (SRT) inclusive of geomechanics modeling work for screen sizing and estimation of fines production through screens. Result is then used to devise method to minimize and manage fines production in SURF and topside. The holistic approach of sand control workflow is compulsory for marginal deepwater development, since the environment is less forgiving during production due to the massive cost of well intervention/troubleshooting and production associated issues; flow assurance and facilities turn-down limit, therefore downhole sand control and operation should be robust enough to cater throughout the life of the field.
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Reports on the topic "Marginal probability"

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WIERSMA, BRUCE, and STEPHEN HARRIS. RELATIONSHIP BETWEEN THE MARGINAL PROBABILITY OF FAILURE FOR A CPP TEST AND THE RECOMMENDED CORROSION CONTROL REQUIREMENTS FOR HANFORD DOUBLE SHELL WASTE TANKS. Office of Scientific and Technical Information (OSTI), February 2022. http://dx.doi.org/10.2172/1846764.

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Santoro, Fabrizio, and Ronald Waiswa. Small Nets for Big Fish? Tax Enforcement on the Richest – Evidence from Uganda. Institute of Development Studies, June 2022. http://dx.doi.org/10.19088/ictd.2022.009.

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ppropriately taxing the richest is a priority for every government, even more so in Africa, where higher revenue mobilisation is needed to fund growth. In Uganda, the revenue authority launched a specific unit to monitor the tax affairs of the richest individuals. Thanks to a close collaboration with the Uganda Revenue Authority (URA), we evaluate the impact of such policy on a range of tax filing and payment outcomes of targeted taxpayers, as gathered from a wealth of administrative data. We show that the policy only has been partially successful. While it increased the probability of filing, especially by politically relevant taxpayers, it produced a seemingly small response in which treated taxpayers would declare less on different margins, with the end result of not declaring more tax liabilities. On the tax payment side, only a small yet significant impact on tax collected is measured. In parallel, we show a strong compensating response across tax heads. Importantly, we also measure the spillover effect on companies associated with the richest taxpayers, again documenting complex compensating reactions. We inform future policymaking decisions, suggesting a higher simultaneous focus on different tax heads and a more holistic approach to monitoring both individual and corporate tax accounts.
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