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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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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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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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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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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 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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A study of methods of choosing the smoothing parameter in image restoration by regularization

IEEE transactions on pattern analysis and machine intelligence, 1991-04, Vol.13 (4), p.326-339

1991

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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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Variational Bayesian inference for partially observed stochastic dynamical systems

Journal of physics. Conference series, 2009-01, Vol.143 (1), p.012022

2009

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Hierarchical Gaussian process mixtures for regression

Statistics and computing, 2005-01, Vol.15 (1), p.31-41

2005

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Computational Bayesian Analysis of Hidden Markov Models

Journal of computational and graphical statistics, 1998-06, Vol.7 (2), p.194-211

1998

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First-order phase transition and bayesian image processing by loopy belief propagation

Progress of theoretical physics. Supplement, 2005, Vol.157 (157), p.288-291

2005

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Biometrika highlights from volume 28 onwards

Biometrika, 2013-12, Vol.100 (4), p.1024-1024

Titterington, D. M.

2013

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Amendments and Corrections: "Biometrika" highlights from volume 28 onwards

Biometrika, 2013-12, Vol.100 (4), p.1024-1024

TITTERINGTON, D. M.

2013

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Deviance information criteria for missing data models

Mixtures: Estimation and Applications

Determining the parametric structure of models

Bayesian Methods for Neural Networks and Related Models

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

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

VARIATIONAL BAYESIAN ANALYSIS FOR HIDDEN MARKOV MODELS

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 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

A study of methods of choosing the smoothing parameter in image restoration by regularization

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

Variational approximations for categorical causal modeling with latent variables

Variational Bayesian inference for partially observed stochastic dynamical systems

Hierarchical Gaussian process mixtures for regression

Computational Bayesian Analysis of Hidden Markov Models

First-order phase transition and bayesian image processing by loopy belief propagation

Biometrika highlights from volume 28 onwards

Amendments and Corrections: "Biometrika" highlights from volume 28 onwards

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