Bayesian probability

Results: 1640



#Item
561Estimation theory / Bayesian statistics / Probability and statistics / Signal processing / Deconvolution / Maximum likelihood / Interpolation / Principle of maximum entropy / Likelihood function / Statistics / Image processing / Statistical theory

TECHNICAL REPORT CR-RD-AS[removed]BAYESIAN INTERPOLATION AND DECONVOLUTION G. LARRY BRETTHORST Washington University

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Source URL: bayes.wustl.edu

Language: English - Date: 2010-12-21 17:21:39
562Probability and statistics / Bayesian inference / Statistical theory / Bayesian probability / Markov chain / Bayes factor / Probability distribution / Estimation theory / Metropolis–Hastings algorithm / Statistics / Bayesian statistics / Statistical inference

Exponential Model Selection (in NMR) Using Bayesian Probability Theory G. LARRY BRETTHORST,1 WILLIAM C. HUTTON,1 JOEL R. GARBOW,1,2 JOSEPH J.H. ACKERMAN1–3

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Source URL: bayes.wustl.edu

Language: English - Date: 2010-12-21 17:21:39
563Bayesian statistics / Probability theory / Non-parametric statistics / Variance / Naive Bayes classifier / Pattern recognition / Perceptron / Posterior probability / Expected value / Statistics / Statistical classification / Machine learning

C:/BoschDokZeit/ExLaufwerkR/Dissertation/Publikationen/61_UEAL_UAI/DEAL_UAI/DEAL_UAI.dvi

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Source URL: www.wisdom.weizmann.ac.il

Language: English - Date: 2012-06-27 09:01:54
564Boy or Girl paradox / Posterior probability / Boy / Childhood / Bayesian statistics

Too Many Boys in the Family? What is the probability of a baby being born a boy?

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Source URL: new.censusatschool.org.nz

Language: English - Date: 2012-09-17 21:56:56
565Classical mechanics / Mass / Bayesian statistics / Kernel density estimation / Maximum likelihood / Density estimation / Probability density function / Gaussian function / Normal distribution / Statistics / Non-parametric statistics / Estimation theory

Mach Learn[removed]:127–160 DOI[removed]s10994[removed]x Mass estimation Kai Ming Ting · Guang-Tong Zhou · Fei Tony Liu · Swee Chuan Tan

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Source URL: www.cs.sfu.ca

Language: English - Date: 2013-09-06 18:14:23
566Statistical classification / Bayesian statistics / Regression analysis / Linear classifier / Posterior probability / Linear regression / Marginal distribution / K-nearest neighbor algorithm / Expected value / Statistics / Econometrics / Machine learning

Ch.5 Classification and Clustering Classification [Book, scattered] With discrete response variables, do classification instead of regression. (b) 1

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Source URL: www.ocgy.ubc.ca

Language: English - Date: 2013-09-30 19:02:28
567Statistical inference / Probability interpretations / Statistical theory / Bayesian probability / Philosophy of science / Inverse probability / Bayesian inference / Prior probability / Additive smoothing / Statistics / Bayesian statistics / Probability and statistics

The Bayesian Analysis Software Developed At Washington University Karen R. Marutyan, PhD and G. Larry Bretthorst, PhD Biomedical Magnetic Resonance Laboratory, Mallinckrodt Institute of Radiology, Washington University,

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Source URL: bayes.wustl.edu

Language: English - Date: 2011-04-28 11:35:14
568Statistical models / Statistical natural language processing / Bayesian statistics / Exponentials / Poisson processes / Latent Dirichlet allocation / Exponential family / Mixture model / Gamma distribution / Statistics / Mathematical analysis / Probability and statistics

Deep Exponential Families Rajesh Ranganath Princeton University Linpeng Tang

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:22
569Statistical inference / Cognitive science / Bayesian statistics / Machine learning / Bayesian inference / Decision theory / Probability matching / Representativeness heuristic / Mathematical model / Statistics / Science / Statistical theory

How robust are probabilistic models of higher-level cognition? 6 January 2013 Gary F. Marcus Ernest Davis

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Source URL: www.cs.nyu.edu

Language: English - Date: 2013-10-03 10:36:11
570Stochastic optimization / Probability theory / Stochastic approximation / Mathematical optimization / Bayesian inference / Latent Dirichlet allocation / Expectation–maximization algorithm / Variational Bayesian methods / Statistics / Bayesian statistics / Estimation theory

An Adaptive Learning Rate for Stochastic Variational Inference Rajesh Ranganath Princeton University, 35 Olden St., Princeton, NJ[removed]RAJESHR @ CS . PRINCETON . EDU

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:22
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