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Bayesian statistics
Results: 3999

#	Item
111	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:14 Statistics Statistical theory Estimation theory Expectationmaximization algorithm Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis Mixture model
112	Model error representation in WRF/DART So-Young Ha, Judith Berner, Chris Snyder MMM/NCAR 12th Annual WRF Users’ Workshop (June 21-23, 2011) Add to Reading List Source URL: www2.mmm.ucar.edu Language: English - Date: 2011-07-19 10:49:02 Statistics Prediction Statistical theory Weather forecasting Statistical forecasting Bayesian statistics Estimation theory Control theory Data assimilation Ensemble Kalman filter Kalman filter Forecasting
113	Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Dahua Lin Toyota Technological Institute at Chicago Add to Reading List Source URL: dahua.me Language: English - Date: 2013-10-22 19:40:40 Statistics Statistical theory Probability Bayesian statistics Stochastic processes Probability distributions Estimation theory Statistical natural language processing Dirichlet process Mixture model Variational Bayesian methods Dirichlet distribution
114	Auton Agent Multi-Agent Syst DOIs10458y Sequentially optimal repeated coalition formation under uncertainty Georgios Chalkiadakis · Craig Boutilier Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2010-11-07 11:36:51 Game theory Statistics Coalition Mathematics Core Cooperative game theory Structure Bayesian network Bayesian inference Transferable utility
115	RMM Vol. 2, 2011, 201–209 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Larry Wasserman Add to Reading List Source URL: www.rmm-journal.com Language: English - Date: 2011-11-16 12:46:27 Statistics Statistical inference Logic Statistical theory Philosophy of science Foundations of statistics Frequentist inference Bayesian Inference Bayesian statistics Quantum Bayesianism
116	Technical Note Series Spring 2013 Note 1: Varitional Methods for Latent Dirichlet Allocation Version 1.0 Add to Reading List Source URL: playbigdata.com Language: English - Date: 2014-07-16 22:13:04 Statistics Statistical theory Estimation theory Expectationmaximization algorithm Missing data Probability distributions Variational Bayesian methods Constructible universe Symbol Table of stars with Bayer designations
117	Slice sampling C. Planas, and A. Rossi Joint Research Centre of European Commission MACFINROBODS WorkshopJanuary 2015, London Add to Reading List Source URL: www.macfinrobods.eu Language: English - Date: 2015-02-13 10:28:08 Statistics Statistical theory Markov chain Monte Carlo Bayesian statistics Estimation theory Monte Carlo methods Computational statistics Slice sampling Gibbs sampling Likelihood function MetropolisHastings algorithm
118	Low Level Vision via Switchable Markov Random Fields Dahua Lin CSAIL, MIT John Fisher CSAIL, MIT Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:23 Statistics Artificial intelligence Computer vision Graphical models Machine learning Image processing Image segmentation Bayesian statistics Markov random field Conference on Computer Vision and Pattern Recognition Mixture model Noise reduction
119	Learning Latent Groups with Hinge-loss Markov Random Fields Stephen H. Bach Bert Huang Lise Getoor University of Maryland, College Park, Maryland 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-14 15:37:03 Statistics Probability theory Graphical models Machine learning Statistical models Statistical theory Bayesian statistics Markov random field Latent variable Expectationmaximization algorithm Marginal likelihood Conditional random field
120	Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations Lina Kulakova Computational Science and Engineering Laboratory ETH Zürich Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2016-06-15 20:10:57 Statistics Statistical theory Bayesian statistics Estimation theory Probability distributions Statistical models Uncertainty quantification Bayesian network Bayesian inference Sufficient statistic Likelihood function Normal distribution

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