Literatura académica sobre el tema "Random observations"
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Artículos de revistas sobre el tema "Random observations"
Jaynes, E. T. "Some random observations". Synthese 63, n.º 1 (abril de 1985): 115–38. http://dx.doi.org/10.1007/bf00485957.
Texto completoAndrea, Montanari. "Estimating random variables from random sparse observations". European Transactions on Telecommunications 19, n.º 4 (2008): 385–403. http://dx.doi.org/10.1002/ett.1289.
Texto completoSanandaji, Borhan M., Michael B. Wakin y Tyrone L. Vincent. "Observability With Random Observations". IEEE Transactions on Automatic Control 59, n.º 11 (noviembre de 2014): 3002–7. http://dx.doi.org/10.1109/tac.2014.2351693.
Texto completoO’Neill, Cecily. "Seal Wife – random observations". NJ 41, n.º 1 (2 de enero de 2017): 27–29. http://dx.doi.org/10.1080/14452294.2017.1329687.
Texto completoSchmidt, Marius y Rainer Schwabe. "Optimal cutpoints for random observations". Statistics 49, n.º 6 (17 de febrero de 2015): 1366–81. http://dx.doi.org/10.1080/02331888.2015.1006225.
Texto completoWILLIAMS, J. "Random observations on reading research". Issues in Education 5, n.º 1 (1999): 161–64. http://dx.doi.org/10.1016/s1080-9724(99)00013-0.
Texto completoZirbel, Craig L. "Lagrangian observations of homogeneous random environments". Advances in Applied Probability 33, n.º 4 (diciembre de 2001): 810–35. http://dx.doi.org/10.1239/aap/1011994031.
Texto completoZirbel, Craig L. "Lagrangian observations of homogeneous random environments". Advances in Applied Probability 33, n.º 04 (diciembre de 2001): 810–35. http://dx.doi.org/10.1017/s0001867800011216.
Texto completoCohen, Joel E. y Thomas M. Liggett. "Random arithmetic-geometric means and random pi: observations and conjectures". Stochastic Processes and their Applications 41, n.º 2 (junio de 1992): 261–71. http://dx.doi.org/10.1016/0304-4149(92)90126-b.
Texto completoEather, Wolfgang y Matthias Albbecht. "Linear Eegression with Random Fuzzy Observations". Statistics 21, n.º 4 (enero de 1990): 521–31. http://dx.doi.org/10.1080/02331889008802262.
Texto completoTesis sobre el tema "Random observations"
Brophy, Edmond M. "Prophet Inequalities for Multivariate Random Variables with Cost for Observations". Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538720/.
Texto completoMohammed, Hussein Syed. "Random feature subspace ensemble based approaches for the analysis of data with missing features /". Full text available online, 2006. http://www.lib.rowan.edu/find/theses.
Texto completoRochet, Jean. "Isolated eigenvalues of non Hermitian random matrices". Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB030/document.
Texto completoThis thesis is about spiked models of non Hermitian random matrices. More specifically, we consider matrices of the type A+P, where the rank of P stays bounded as the dimension goes to infinity and where the matrix A is a non Hermitian random matrix. We first prove that if P has some eigenvalues outside the bulk, then A+P has some eigenvalues (called outliers) away from the bulk. Then, we study the fluctuations of the outliers of A around their limit and prove that they are distributed as the eigenvalues of some finite dimensional random matrices. Such facts had already been noticed for Hermitian models. More surprising facts are that outliers can here have very various rates of convergence to their limits (depending on the Jordan Canonical Form of P) and that some correlations can appear between outliers at a macroscopic distance from each other. The first non Hermitian model studied comes from the Single Ring Theorem due to Guionnet, Krishnapur and Zeitouni. Then we investigated spiked models for nearly Hermitian random matrices : where A is Hermitian but P isn’t. At last, we studied the outliers of Gaussian Elliptic random matrices. This thesis also investigates the convergence in distribution of random variables of the type Tr( f (A)M) where A is a matrix from the Single Ring Theorem and f is analytic on a neighborhood of the bulk and the Frobenius norm of M has order √N. As corollaries, we obtain central limit theorems for linear spectral statistics of A (for analytic test functions) and for finite rank projections of f (A) (like matrix entries)
Alemdar, Meltem. "A Monte Carlo study the impact of missing data in cross-classification random effects models /". Atlanta, Ga. : Georgia State University, 2008. http://digitalarchive.gsu.edu/eps_diss/34/.
Texto completoTitle from title page (Digital Archive@GSU, viewed July 20, 2010) Carolyn F. Furlow, committee chair; Philo A. Hutcheson, Phillip E. Gagne, Sheryl A. Gowen, committee members. Includes bibliographical references (p. 96-100).
Iufereva, Olga. "Algorithmes de filtrage avec les observations distribuées par Poisson". Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. https://theses.hal.science/tel-04720020.
Texto completoFiltering theory basically relates to optimal state estimation in stochastic dynamical systems, particularly when faced with partial and noisy data. This field, closely intertwined with control theory, focuses on designing estimators doing real-time computation while maintaining an acceptable level of accuracy as measured by the mean square error. The necessity for such estimates becomes increasingly critical with the proliferation of network-controlled systems, such as autonomous vehicles and complex industrial processes, where the observation processes are subject to randomness in transmission and this gives rise to varying information patterns under which the estimation must be carried out.This thesis addresses the important task of state estimation in continuous-time stochastic dynamical systems when the observation process is available only at some discrete time instants governed by a random process. By adapting classical estimation methods, we derive equations for optimal state estimator, explore their properties and practicality, and propose and evaluates sub-optimal alternatives, showcasing parallels to the existing techniques within the classical estimation domain when applied to Poisson-distributed observation processes.The study covers three classes of mathematical models for the continuous-time dynamical system and the discrete observation process. First, we consider Ito-stochastic differential equations with Lipschitz drift terms and constant diffusion coefficient, whereas the lower-dimensional discrete observation process comprises the nonlinear mapping of the state and additive Gaussian noise. We propose easy-to-implement continuous-discrete suboptimal state estimators for this system class. Assuming that a Poisson counter governs discrete times at which the observations are available, we compute the expectation or error covariance process. Analysis is carried out to provide conditions for boundedness of the error covariance process, as well as, the dependence on the mean sampling rate.Secondly, we consider the dynamical systems described by continuous-time Markov chains with finite state space, and the observation process is obtained by discretizing a conventional stochastic process driven by a Wiener process. For this case, the $L_1$-convergence of the derived optimal estimator to the classical (purely continuous) optimal estimator (Wonham filter) is shown with respect to increasing intensity of Poisson processes.Lastly, we study continuous-discrete particle filters for Ornstein-Uhlenbeck processes with discrete observations described by linear functions of state and additive Gaussian noise. Particle filters have gained a lot of interest for state estimation in large-scale models with noisy measurements where the computation of optimal gain is either computationally expensive or not entirely feasible due to complexity of the dynamics. In this thesis, we propose continuous-discrete McKean–Vlasov type diffusion processes, which serve as the mean-field model for describing the particle dynamics. We study several kinds of mean-field processes depending on how the noise terms are included in mimicking the state process and the observation model. The resulting particles are coupled through empirical covariances which are updated at discrete times with the arrival of new observations. With appropriate analysis of the first and second moments, we show that under certain conditions on system parameters, the performance of the particle filters approaches the optimal filter as the number of particles gets larger
Johansson, Åsa M. "Methodology for Handling Missing Data in Nonlinear Mixed Effects Modelling". Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-224098.
Texto completoBourmani, Sabrina. "Binary decision for observations with unknown distribution : an optimal and invariance-based framework". Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2020. http://www.theses.fr/2020IMTA0173.
Texto completoDuring my thesis, we took interest in decision problems where signals are assumed to be stochastic with unknown distributions. In standard literature, such an assumption does not allow to seek solutions that guarantees a certain optimality. At least, aside from the RDT framework developed a few years ago in our laboratory. Hence, we took interest in the philosophy behind the RDT framework, and we follow the same guidelines concerning the unknown distribution of the signal. Apart from our optimality purposes, we also have an invariance based perspective in how we intend to solve this type of decision problems. Indeed, when there are uncertainties about the signal of interest, we can try to derive solutions that are invariant towards them. These are the two key notions we consider throughout our investigations. In this manuscript, first, we apply the RDT framework for a distributed decision to test its suitability to such decision scenarios where the signal of interest is random of unknown distribution and where the observations are collected by a network of sensors instead of just one sensor. Then, we generalise the theoretical material of the RDT framework to when the noise is not necessary Gaussian while still considering the signal of interest random of unknown distribution. Finally, we adopt an asymptotic outlook to circumvent the limitations of the RDT and the developed GRDT approach. Although the considered decision scenarios concern unconditional models in the simple case of deterministic signals, it allows to think ahead of the eventual upcoming generalisations in the asymptotic scope
Martinez, Garcia Alba Maria. "Study of the Resistive Switching Mechanism in Novel Ultra-thin Organic-inorganic Dielectric-based RRAM through Electrical Observations". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299358.
Texto completoDen senaste introduktionen av ultratunn (<5 nm) organisk-oorganisk hybrid dielektrisk RRAM som nästa generations icke-flyktiga minnesenheter kräver en djup förståelse för hybridskiktresistiv växling (RS). Den extremt reducerade tjockleken hindrar emellertid deras bearbetbarhet för materialkarakteriseringstekniker. Dessutom hindrar den dåliga enhetligheten i viktiga omkopplingsparametrar fortfarande i RRAM att alla trender kan definieras tydligt genom elektrisk karakterisering. Detta arbete använder elektrisk manipulation genom en RPS-metod (ramped-pulse series) för att förbättra spännings- och motståndsfluktuationerna i återställningsprocessen för ultratunna Al/Hf-hybrid/Ni-enheter vid olika spänningsamplitud, pulsbredd och temperaturförhållanden. Från de erhållna RPS-optimerade resultaten föreslås en ny och detaljerad fysisk modell som beskriver driftsmekanismen. Samexistensen i den ledande filamenten (CF) av en hybridmetalldel, sammansatt av Al och Hf3Al2, och en syrevakansdel bekräftas. Vår modell betonar vakansbidraget i RS, där majoriteten genereras under CF-formningsprocessen och deltar i olika grad i filamentbrottet för RPS och ingen RPS-bearbetade enheter via Joule-uppvärmning, drift och Fick-krafter. Dessutom förklaras kopplingsfelhändelser baserat på närvaron av ett Al2O3-lager i Al/Hf-hybridgränssnittet.
Wabiri, Njeri. "Variable modeling of spatially distributed random interval observation". Doctoral thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/4365.
Texto completoArrowood, Jon A. "Using observation uncertainty for robust speech recognition". Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180005/unrestricted/arrowood%5Fjon%5Fa%5F200312%5Fphd.pdf.
Texto completoLibros sobre el tema "Random observations"
University, Emory, ed. I have never tasted any bad ice cream and other random observations. Decatur, G.A: Looking Glass Books, 1997.
Buscar texto completoWeinberg, Israel Louis. Settings at random: Observations, experiences, ideas : Brick Lane, London E1, 1915-1987. [Wembley] (]28, Blenheim Gardens, East Lane, Wembley, HA9 7NP]): [I.L. Weinberg], 1987.
Buscar texto completoHyde, Henry J. Catch the burning flag: Speeches and random observations of Henry Hyde ; [foreword by Robert Novak]. New York: National Review Books, 2008.
Buscar texto completoNäther, Wolfgang. Effective observation of random fields. Leipzig: Teubner, 1985.
Buscar texto completoDavies, Merton E. Rand's role in the evolution of balloon and satellite observation systems and related U.S. space technology. Santa Monica, CA: Rand Corp., 1988.
Buscar texto completoShort, Nevil. Random Observations. Unknown Publisher, 2021.
Buscar texto completoRichard, Smith. Random Observations. Certainty Perspectives, 2020.
Buscar texto completoMaready, Kenan. Random Thoughts and Observations. Independently Published, 2019.
Buscar texto completoMcWhorter, Jenn. Random Rants and Other Observations. Lulu Press, Inc., 2008.
Buscar texto completoSingle Exposures (Random Observations on Photography, Art & Creativity). LensWork Publishing, 2005.
Buscar texto completoCapítulos de libros sobre el tema "Random observations"
Azencott, Robert y Didier Dacunha-Castelle. "Discrete Time Random Processes". En Series of Irregular Observations, 3–9. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4912-2_2.
Texto completoAzencott, Robert y Didier Dacunha-Castelle. "Random Fields and Stochastic Integrals". En Series of Irregular Observations, 37–45. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4912-2_6.
Texto completoNäther, Wolfgang y Ralf Körner. "Linear regression with random fuzzy observations". En Statistical Modeling, Analysis and Management of Fuzzy Data, 282–305. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1800-0_18.
Texto completoMorales, Domingo, Leandro Pardo y Igor Vajda. "Digitalization of Observations Permits Efficient Estimation in Continuous Models". En Soft Methodology and Random Information Systems, 315–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44465-7_38.
Texto completoSabre, Rachid. "Evolutionary Spectrum for Random Field and Missing Observations". En Lecture Notes in Computer Science, 209–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31254-0_24.
Texto completoGouet, Raúl, Miguel Lafuente, F. Javier López y Gerardo Sanz. "$$\delta $$ δ -Records Observations in Models with Random Trend". En Studies in Systems, Decision and Control, 209–17. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73848-2_20.
Texto completoChazelle, Bernard. "Some Observations on Dynamic Random Walks and Network Renormalization". En Fundamentals of Computation Theory, 18–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25027-0_2.
Texto completoWalrand, Jean. "Tracking—A". En Probability in Electrical Engineering and Computer Science, 163–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_9.
Texto completoBadings, Thom, Matthias Volk, Sebastian Junges, Marielle Stoelinga y Nils Jansen. "CTMCs with Imprecisely Timed Observations". En Tools and Algorithms for the Construction and Analysis of Systems, 258–78. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57249-4_13.
Texto completoWei, Zheng, Tonghui Wang y Baokun Li. "On Consistency of Estimators Based on Random Set Vector Observations". En Causal Inference in Econometrics, 185–98. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27284-9_11.
Texto completoActas de conferencias sobre el tema "Random observations"
Prasad, J. V. R., Vinodhini Comandur, Robert Walters y David Guerrero. "Model Predictive Path Integral Approach for Trajectory Guidance of Rotorcraft Shipboard Landing". En Vertical Flight Society 80th Annual Forum & Technology Display, 1–16. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0074-2018-12780.
Texto completoJie, Zhang, Lu Huiguo y Luo Yangyi. "Spatial Consistency Test Method for Meteorological Data Based On Random Forest". En 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9026034.
Texto completoZafarani, Reza y Ali A. Ghorbani. "Oracle Clustering: Dynamic Partitioning Based on Random Observations". En 2008 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2008. http://dx.doi.org/10.1109/ictai.2008.128.
Texto completoHuang, Wubin, Yingsha Jiang, Xinwei Liu, Yongjie Pan, Xia Li, Runxia Guo, Yuxia Huang y Bolong Duan. "Classified Early-warning and Nowcasting of Hail Weather Based on Radar Products and Random Forest Algorithm". En 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9026039.
Texto completoXu, Kaiqin, Zhijian Cai y Jianhong Wu. "Random pixelated grating computational spectrometer based on deep learning". En Conference on Novel Technologies and Instruments for Astronomical Multi-Band Observations, editado por Suijian Xue y Yongtian Zhu. SPIE, 2021. http://dx.doi.org/10.1117/12.2607021.
Texto completoBoldyrikhin, Nikolay V., Olga A. Safaryan y Alexey A. Svizhenko. "Optimization of Observations for a Limited Flow of Random Processes". En 2021 Radiation and Scattering of Electromagnetic Waves (RSEMW). IEEE, 2021. http://dx.doi.org/10.1109/rsemw52378.2021.9494057.
Texto completoJiang, Fan, Yu Ge, Meifang Zhu, Henk Wymeersch y Fredrik Tufvesson. "Low-Complexity Channel Estimation and Localization with Random Beamspace Observations". En ICC 2023 - IEEE International Conference on Communications. IEEE, 2023. http://dx.doi.org/10.1109/icc45041.2023.10278994.
Texto completoReiffers-Masson, Alexandre, Thierry Chonavel y Yezekael Hayel. "Estimating Fiedler Value on Large Networks Based on Random Walk Observations". En ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9413713.
Texto completoSoucie, John E. San, Heidi M. Sosik y Yogesh Girdhar. "Gaussian-Dirichlet Random Fields for Inference over High Dimensional Categorical Observations". En 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2020. http://dx.doi.org/10.1109/icra40945.2020.9196713.
Texto completoPalafox, Leon, Laszlo A. Jeni y Hideki Hashimoto. "Using conditional random fields to validate observations in a 4W1H paradigm". En 2011 4th International Conference on Human System Interactions (HSI). IEEE, 2011. http://dx.doi.org/10.1109/hsi.2011.5937347.
Texto completoInformes sobre el tema "Random observations"
Bucklew, James A. y Stamatis Cambanis. Estimating Random Integrals from Noisy Observations: Sampling Designs and Their Performance. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1985. http://dx.doi.org/10.21236/ada170330.
Texto completoBlake, J. B. y R. Mandel. On-Orbit Observations of Single-Event Upset in Harris HM-6508 RAMSs (Random Access Memories): An Update. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1989. http://dx.doi.org/10.21236/ada206266.
Texto completoShiller, Robert y Pierre Perron. Testing the Random Walk Hypothesis: Power versus Frequency of Observation. Cambridge, MA: National Bureau of Economic Research, abril de 1985. http://dx.doi.org/10.3386/t0045.
Texto completoAraujo, María Caridad, Yyannu Cruz-Aguayo, Pedro Carneiro y Norbert Schady. Teacher Quality and Learning Outcomes in Kindergarten. Inter-American Development Bank, diciembre de 2016. http://dx.doi.org/10.18235/0011718.
Texto completoAsenath-Smith, Emily, Ross Lieblappen, Susan Taylor, Reed Winter, Terry Melendy, Robert Moser y Robert Haehnel. Observation of crack arrest in ice by high aspect ratio particles during uniaxial compression. Engineer Research and Development Center (U.S.), febrero de 2022. http://dx.doi.org/10.21079/11681/43145.
Texto completoBäumler, Maximilian, Günther Prokop, Matthias Lehmann y Linda Dziuba-Kaiser. Use Information You Have Never Observed Together: Data Fusion as a Major Step Towards Realistic Test Scenarios. TU Dresden, 2020. http://dx.doi.org/10.26128/2024.3.
Texto completoGupta, Tejpal, Riddhijyoti Talukdar, Sadhana Kannan, Archya Dasgupta, Abhishek Chatterjee y Vijay Patil. Meta-Analysis of Standard Temozolomide versus Extended Adjuvant Temozolomide following concurrent Radiochemotherapy in newly-diagnosed Glioblastoma (MASTER-G). INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, diciembre de 2021. http://dx.doi.org/10.37766/inplasy2021.12.0114.
Texto completoEldar, Avigdor y Donald L. Evans. Streptococcus iniae Infections in Trout and Tilapia: Host-Pathogen Interactions, the Immune Response Toward the Pathogen and Vaccine Formulation. United States Department of Agriculture, diciembre de 2000. http://dx.doi.org/10.32747/2000.7575286.bard.
Texto completoSprague, Joshua, David Kushner, James Grunden, Jamie McClain, Benjamin Grime y Cullen Molitor. Channel Islands National Park Kelp Forest Monitoring Program: Annual report 2014. National Park Service, agosto de 2022. http://dx.doi.org/10.36967/2293855.
Texto completoWeissinger, Rebecca. Evaluation of hanging-garden endemic-plant monitoring at Southeast Utah Group national parks, 2013–2020. Editado por Alice Wondrak Biel. National Park Service, octubre de 2022. http://dx.doi.org/10.36967/2294868.
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