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Bayesian inference
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#	Item
691	Hierarchical Bayesian Networks: A Probabilistic Reasoning Model for Structured Domains Elias Gyftodimos Peter A. Flach Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:04:22 Graph theory Probability and statistics Networks Probability theory Statistical models Bayesian network Markov random field Bayesian inference Belief propagation Statistics Bayesian statistics Graphical models
692	A Brief Introduction to Bayesian Statistics Floyd Bullard The North Carolina School of Science and Mathematics NCTM 2001 Add to Reading List Source URL: courses.ncssm.edu Language: English - Date: 2002-12-20 12:21:51 Credible interval Bayesian inference Posterior probability Prior probability Probability interpretations Frequency probability P-value Confidence interval Probability Statistics Bayesian statistics Statistical inference
693	Nonparametric Bayesian Methods for Large Scale Multi-Target Tracking Emily B. Fox David S. Choi Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:48 Markov models Dirichlet process Mixture model Dirichlet distribution Markov chain Concentration parameter Gibbs sampling Poisson distribution Bayesian inference Statistics Stochastic processes Bayesian statistics
694	Hydrol. Earth Syst. Sci., 15, 519–532, 2011 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:47:19 Statistical theory Bootstrapping Data analysis Exponential distribution Confidence interval Reliability engineering Akaike information criterion Extreme value theory Bayesian information criterion Statistics Statistical inference Model selection
695	Using Asymmetric Distributions to Improve Text Classifier Probability Estimates Paul N. Bennett Computer Science Dept. Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-05-09 22:52:37 Bayesian statistics Estimation theory Statistical models Maximum likelihood Naive Bayes classifier Bayes estimator Normal distribution Bayesian inference Parametric model Statistics Statistical theory Statistical inference
696	Efficient probabilistic models for inference and learning Individual Grant Review Report EPSRC grant GR/N07394 Peter A. Flach Department of Computer Science, University of Bristol Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:10:48 Bayesian network Bayesian inference Bayesian probability Machine learning Hierarchical Bayes model Hidden Markov model Causality Naive Bayes classifier Gibbs sampling Statistics Bayesian statistics Probabilistic logic
697	A Correction to the SIMPLE Model of Free Recall James P. Pooley University of California, Irvine Michael D. Lee University of California, Irvine Add to Reading List Source URL: www.imbs.uci.edu Language: English - Date: 2014-11-04 13:01:42 Mental processes Memory Markov models Recall Bayesian statistics Statistical inference Free recall Markov chain Serial position effect Statistics Mind Science
698	The GPML Toolbox version 3.5 Carl Edward Rasmussen & Hannes Nickisch March 25, 2015 Abstract The GPML toolbox is an Octave 3.2.x and Matlab 7.x implementation of inference and prediction in Gaussian process (GP) models. Add to Reading List Source URL: www.gaussianprocess.org Language: English Probability theory Algebra of random variables Geostatistics Covariance Variational Bayesian methods Bayesian inference Gaussian process Hyperprior Variance Statistics Bayesian statistics Covariance and correlation
699	Inference in Hybrid Bayesian Networks using dynamic discretisation Martin Neil†‡ , Manesh Tailor‡ and David Marquez† † Department of Computer Science, Queen Mary, University of London ‡ Agena Ltd Abstract We Add to Reading List Source URL: www.agena.co.uk Language: English - Date: 2010-02-23 15:24:04 Bayesian statistics Bayesian network Normal distribution Probability distribution Statistical inference Bayesian inference Prior probability Kullback–Leibler divergence Conditional probability distribution Statistics Probability and statistics Statistical theory
700	Statement of Research Mohammad Arshad Rahman November 30, 2014 Research Area: Bayesian Econometrics, Econometrics. My research primarily focuses on Bayesian econometrics and simulation-based inference using Add to Reading List Source URL: www.iitk.ac.in Language: English - Date: 2014-12-01 16:25:07 Single equation methods Statistical models Computational statistics Monte Carlo methods Discrete choice Markov chain Monte Carlo Regression analysis Bayesian econometrics Probit Statistics Economics Econometrics

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