Conjugate prior

Results: 254



#Item
71Categorical data / Markov models / Dirichlet process / Conjugate prior / Mixture model / Chinese restaurant process / Dirichlet distribution / Markov chain / Latent class model / Statistics / Statistical models / Stochastic processes

Journal of Machine Learning Research[removed]1224 Submitted 3/10; Revised 3/11; Published 4/11 The Indian Buffet Process: An Introduction and Review Thomas L. Griffiths

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Source URL: cocosci.berkeley.edu

Language: English - Date: 2011-04-11 17:58:43
72Markov models / Expectation–maximization algorithm / Missing data / Statistical theory / Hidden Markov model / Variational Bayesian methods / Markov chain / Conjugate prior / Kullback–Leibler divergence / Statistics / Bayesian statistics / Estimation theory

Stochastic Variational Inference for Hidden Markov Models arXiv:1411.1670v1 [stat.ML] 6 Nov[removed]Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox

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Source URL: arxiv.org

Language: English - Date: 2014-11-06 20:36:09
73Linear regression / Regression analysis / Conjugate prior / Normal distribution / Statistics / Econometrics / Contact mechanics

Appl. Statist[removed], Part 5, pp. Bayesian change-point analysis for atomic force microscopy and soft material indentation Daniel Rudoy, Shelten G. Yuen, Robert D. Howe and Patrick J. Wolfe

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Source URL: biorobotics.harvard.edu

Language: English - Date: 2010-07-23 07:45:14
74Statistical theory / M-estimators / Expectation–maximization algorithm / Missing data / Maximum likelihood / Mixture model / Conjugate prior / Likelihood function / Normal distribution / Statistics / Estimation theory / Bayesian statistics

6.867 Machine learning, lecture 16 (Jaakkola) 1 Lecture topics: • Mixture of Gaussians (cont’d)

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Source URL: ocw.mit.edu

Language: English - Date: 2015-03-15 16:36:56
75Bayes estimator / Bayesian inference / Conjugate prior / Gamma distribution / Maximum likelihood / Loss function / Symbol / Parametric model / Statistics / Statistical theory / Estimation theory

Statistics 582, Problem Set 4 Solutions Wellner; [removed]Consider Example 1.3 as given on page 4 of the Chapter 5 notes. (a) Consider calculation of the Bayes rule for the prior λ1 = λ, λ2 = 1 − λ with λ ∈ [

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-02-05 18:34:46
76Summary statistics / Conjugate prior / Normal distribution / Prior probability / Standard deviation / Mixing / Statistics / Bayesian statistics / Stochastic processes

Wildflower writeup Elizabeth Crone, Mollie Brooks, & Perry de Valpine July 31, 2012 1

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Source URL: groups.nceas.ucsb.edu

Language: English - Date: 2012-09-21 18:43:41
77Bayes estimator / Gibbs sampling / Bayesian inference / Multivariate normal distribution / Production function / Conjugate prior / Thurstonian model / Statistics / Bayesian statistics / Prior probability

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

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Source URL: www.iioa.org

Language: English - Date: 2007-10-09 05:36:12
78Estimation theory / Stochastic processes / Statistical models / Dirichlet process / Conjugate prior / Mixture model / Latent Dirichlet allocation / Dirichlet distribution / Parametric model / Statistics / Statistical theory / Bayesian statistics

Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Dahua Lin Toyota Technological Institute at Chicago

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Source URL: papers.nips.cc

Language: English - Date: 2014-02-24 18:11:54
79Nelder–Mead method / Mathematical optimization / Conjugate gradient method / Gradient descent / Simplex / Numerical analysis / Operations research / Mathematics

15 Optimization Once you’ve gathered your data, selected a representation to work with, chosen a framework for function approximation, specified an error metric, and expressed your prior beliefs about the model, then

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Source URL: fab.cba.mit.edu

Language: English - Date: 2014-04-29 10:51:08
80Linear algebra / Information retrieval / Bayesian statistics / Matrix theory / Numerical linear algebra / Singular value decomposition / Netflix Prize / Collaborative filtering / Conjugate prior / Statistics / Algebra / Mathematics

Probabilistic Matrix Factorization Ruslan Salakhutdinov and Andriy Mnih Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada {rsalakhu,amnih}@cs.toronto.edu

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Source URL: www.cs.utoronto.ca

Language: English - Date: 2008-01-11 20:55:37
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