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Deviance information criteria for missing data models

Bayesian analysis, 2006-01, Vol.1 (4)

2006

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Mixtures: Estimation and Applications

1. Aufl., 2011

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Determining the parametric structure of models

Mathematical biosciences, 2010-11, Vol.228 (1), p.16-30

2010

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Median-Based Classifiers for High-Dimensional Data

Journal of the American Statistical Association, 2009-12, Vol.104 (488), p.1597-1608

2009

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Bayesian Methods for Neural Networks and Related Models

Statistical science, 2004-02, Vol.19 (1), p.128-139

Titterington, D. M.

2004

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A Bayesian Reassessment of Nearest-Neighbor Classification

Journal of the American Statistical Association, 2009-03, Vol.104 (485), p.263-273

2009

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Tilting methods for assessing the influence of components in a classifier

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2009-09, Vol.71 (4), p.783-803

2009

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Gaussian Process Functional Regression Modeling for Batch Data

Biometrics, 2007-09, Vol.63 (3), p.714-723

2007

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Statistical trajectory of an approximate EM algorithm for probabilistic image processing

Journal of physics. A, Mathematical and theoretical, 2007-09, Vol.40 (37), p.11285-11300

2007

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Variational Bayes for estimating the parameters of a hidden Potts model

Statistics and computing, 2009-09, Vol.19 (3), p.329-340

2009

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Neural Networks: A Review from a Statistical Perspective

Statistical science, 1994-02, Vol.9 (1), p.2-30

1994

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Variational approximations in Bayesian model selection for finite mixture distributions

Computational statistics & data analysis, 2007-07, Vol.51 (11), p.5352-5367

2007

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Bayesian inference in hidden Markov models through the reversible jump Markov chain Monte Carlo method

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2000, Vol.62 (1), p.57-75

2000

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Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation

Machine learning, 2003-01, Vol.50 (1-2), p.73-94

2003

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VARIATIONAL BAYESIAN ANALYSIS FOR HIDDEN MARKOV MODELS

Australian & New Zealand journal of statistics, 2009-06, Vol.51 (2), p.227-244

2009

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Perfect samplers for mixtures of distributions

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2002-01, Vol.64 (4), p.777-790

2002

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Lack of consistency of mean field and variational Bayes approximations for state space models

Neural processing letters, 2004-11, Vol.20 (3), p.151-170

2004

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Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model

Bayesian analysis, 2006-01, Vol.1 (3)

2006

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On the adequacy of variational lower bound functions for likelihood-based inference in Markovian models with missing values

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2002-01, Vol.64 (3), p.549-564

2002

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On some Bayesian/regularization methods for image restoration

IEEE transactions on image processing, 1995, Vol.4 (7), p.989-995

1995

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Variational Bayes Estimation of Mixing Coefficients

Deterministic and Statistical Methods in Machine Learning, 2005, p.281-295

2005

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Bayesian regression and classification using mixtures of Gaussian processes

International journal of adaptive control and signal processing, 2003-03, Vol.17 (2), p.149-161

2003

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Asymptotically optimal difference-based estimation of variance in nonparametric regression

Biometrika, 1990-09, Vol.77 (3), p.521-528

1990

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t -Tests, F -Tests and Otsu's Methods for Image Thresholding

IEEE transactions on image processing, 2011-08, Vol.20 (8), p.2392-2396

2011

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Variational approximations for categorical causal modeling with latent variables

Psychometrika, 2003-09, Vol.68 (3), p.391-412

2003

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Deviance information criteria for missing data models

Mixtures: Estimation and Applications

Determining the parametric structure of models

Median-Based Classifiers for High-Dimensional Data

Bayesian Methods for Neural Networks and Related Models

A Bayesian Reassessment of Nearest-Neighbor Classification

Tilting methods for assessing the influence of components in a classifier

Gaussian Process Functional Regression Modeling for Batch Data

Statistical trajectory of an approximate EM algorithm for probabilistic image processing

Variational Bayes for estimating the parameters of a hidden Potts model

Neural Networks: A Review from a Statistical Perspective

Variational approximations in Bayesian model selection for finite mixture distributions

Bayesian inference in hidden Markov models through the reversible jump Markov chain Monte Carlo method

Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation

VARIATIONAL BAYESIAN ANALYSIS FOR HIDDEN MARKOV MODELS

Perfect samplers for mixtures of distributions

Lack of consistency of mean field and variational Bayes approximations for state space models

Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model

On the adequacy of variational lower bound functions for likelihood-based inference in Markovian models with missing values

On some Bayesian/regularization methods for image restoration

Variational Bayes Estimation of Mixing Coefficients

Bayesian regression and classification using mixtures of Gaussian processes

Asymptotically optimal difference-based estimation of variance in nonparametric regression

t -Tests, F -Tests and Otsu's Methods for Image Thresholding

Variational approximations for categorical causal modeling with latent variables

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