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Bayesian
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#	Item
381	Sample Design in the Bayesian Analysis of Radiocarbon Dates in Paleoecology ´ Christen J. Andres Maarten Blaauw Add to Reading List Source URL: www.chrono.qub.ac.uk Language: English - Date: 2010-08-31 06:19:21 Conservation and restoration Radiocarbon dating Carbon Radioactivity Radiometric dating Nuclear physics Radiocarbon Nuclear chemistry Physics
382	CS264: Beyond Worst-Case Analysis Lecture #18: Pricing with an Unknown Distribution∗ Tim Roughgarden† November 19, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2015-01-17 16:48:13 Auction theory Mechanism design Game theory Market economics) Economy Vickrey auction First-price sealed-bid auction Auction Quantile Monopoly Valuation Bayesian-optimal mechanism
383	Tractable Bayesian Optimal Policy in the Presence of Regime Change and Local Parameter Uncertainty Eric T. Swanson Federal Reserve Bank of San Francisco http://www.ericswanson.pro Add to Reading List Source URL: www.ericswanson.us Language: English - Date: 2012-07-30 14:56:23 Statistics Mathematical analysis Probability Operations research Control theory Mathematical optimization Regression analysis Cybernetics Optimal control Parameter Normal distribution Stochastic control
384	Package ‘ctbn’ May 1, 2014 Type Package Title R Package for Continuous Time Bayesian Networks Version 1.0 Date Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2014-05-01 22:51:52 Logic Statistics Knowledge Data types Bayesian network Networks Pointer Inference Stan
385	Learning Articulated Skeletons from Motion David A. Ross, Daniel Tarlow, and Richard S. Zemel Department of Computer Science, University of Toronto, Canada {dross,dtarlow,zemel}@cs.toronto.edu Abstract. Humans demonstra Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-08-14 20:36:06 Statistics Statistical models Mathematics Graph theory Dynamical systems Mechanics Spanning tree Structure from motion Multibody system Image segmentation Bayesian network Graphical model
386	Sparsity-promoting Bayesian inversion Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2016-04-25 11:29:41 Mathematical analysis Mathematics Algebra Functional analysis Probability distributions Signal processing Timefrequency analysis Fourier analysis Wavelet transform Wavelet Besov space Convolution
387	Comparison of Kalman Filter Type and Variational Data Assimilation Approaches for Operational Hydrology Dirk Schwanenberg (Deltares, University of Duisburg-Essen), Rodolfo Alvarado Montero (University of Duisburg-Essen), Add to Reading List Source URL: hepex.irstea.fr Language: English - Date: 2016-06-20 15:28:29 Statistics Estimation theory Statistical theory Control theory Robot control Linear filters Bayesian statistics Kalman filter Data assimilation Covariance Particle filter Extended Kalman filter
388	Marginals-to-Models Reducibility Michael Kearns University of Pennsylvania Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2013-11-08 17:46:03 Mathematics Computational complexity theory Graph theory Graphical models Combinatorial optimization Convex optimization Operations research Probability theory Polynomial Ellipsoid method Markov random field Bayesian network
389	9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy, 2015 The Multilabel Naive Credal Classifier Alessandro Antonucci and Giorgio Corani IDSIA SUPSI/USI Lugano (Switzerland) Add to Reading List Source URL: www.sipta.org Language: English - Date: 2015-06-29 06:21:33 Statistics Statistical classification Statistical theory Bayesian inference Bayesian statistics Credal network Naive Bayes classifier C0 Credal set Pattern recognition Classifier chains Bayesian network
390	JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Loss function Markov decision process Reinforcement learning Exponential family Confidence interval Likelihood function Conjugate prior

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