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Bayesian inference
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#	Item
741	How Accurately Can Parameters from Exponential Models Be Estimated? A Bayesian View G. LARRY BRETTHORST Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Exponentials Bayesian inference Statistical forecasting Statistical theory Estimation theory Bayesian probability Exponential decay Statistics Bayesian statistics Statistical inference
742	UvA, February 15, 2013 An Introduction to Online Learning for Bayesians Tim van Erven Add to Reading List Source URL: www.timvanerven.nl Language: English - Date: 2013-02-18 10:53:53 Spamming Cybercrime Electronic commerce Information technology management Marketing Spam Bayesian inference Email spam Internet Statistics Computing
743	Under Editorial Review. Please do not quote without permission. (Revised[removed]Most recent revision can be downloaded from http://dl.dropbox.com/u[removed]ResponsetoWagenmakers.pdf Must Psychologists Change the Way Add to Reading List Source URL: dbem.ws Language: English Bayesian statistics Design of experiments Psychometrics Bayes factor Statistical hypothesis testing P-value Bayesian inference Null hypothesis Prior probability Statistics Statistical inference Hypothesis testing
744	University of California, Irvine Statistics Seminar Almost Everything You Always Wanted to Know about NONLINEAR STATE SPACE MODELS (but were afraid to ask) David Stoffer Add to Reading List Source URL: www.stat.uci.edu Language: English - Date: 2015-03-31 15:43:39 Monte Carlo methods Statistical theory Particle filter Robot control Bayesian inference Gibbs sampling Inference Statistics Computational statistics Bayesian statistics
745	Hydrol. Earth Syst. Sci., 14, 1989–2001, 2010 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 02:42:22 Statistical inference Bayesian statistics Statistical models Confidence interval Parametric model Statistical hypothesis testing Maximum likelihood Likelihood function Normal distribution Statistics Estimation theory Statistical theory
746	Input-Output Analysis and Econometrics: a Discussion of Some Key Issues with an Example from the Theory of Production Matteo Manera and Bruno Sitzia Department of Economics Add to Reading List Source URL: www.iioa.org Language: English - Date: 2007-10-09 05:36:12 Bayes estimator Gibbs sampling Bayesian inference Multivariate normal distribution Production function Conjugate prior Thurstonian model Statistics Bayesian statistics Prior probability
747	Bayesian Inference and Maximum Entropy in the Physical Sciences, R. Fischer et al ed, pp 3-14, AIP[removed]Characterizing Water Diffusion In Fixed Baboon Brain1 G. Larry Bretthorst, PhD∗ , Christopher D. Kroenke, PhD† Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Imaging Neuroimaging Tensors Probability and statistics Diffusion MRI Fractional anisotropy Diffusion equation Bayesian inference Prior probability Statistics Bayesian statistics Magnetic resonance imaging
748	Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Latent Dirichlet allocation Dynamic topic model Variational Bayesian methods Topic model Hidden Markov model Calculus of variations Mixture model Bayesian inference Dirichlet process Statistics Statistical natural language processing Bayesian statistics
749	The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling John Paisley, Chong Wang and David Blei Department of Computer Science, Princeton University {jpaisley,chongw,blei}@princeton.edu Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical inference Statistical theory Variational Bayesian methods Latent Dirichlet allocation Gamma distribution Dirichlet process Mixture model Normal distribution Gamma function Statistics Bayesian statistics Statistical natural language processing
750	C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006, c 2006 Massachusetts Institute of Technology. www.GaussianProcess.org/gpml ISBN 026218253X. Gaussian Processes for Machin Add to Reading List Source URL: www.gaussianprocess.org Language: English Statistical classification Gaussian process Relevance vector machine Supervised learning Support vector machine Mixture model Bayesian inference Regression analysis Gaussian adaptation Statistics Machine learning Bayesian statistics

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