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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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Parameter estimation for hidden Markov chains

Journal of statistical planning and inference, 2002-11, Vol.108 (1), p.365-390

2002

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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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Some Methods for Investigating Spatial Clustering, with Epidemiological Applications

Journal of the Royal Statistical Society. Series A, Statistics in society, 1997, Vol.160 (1), p.87-105

1997

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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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An empirical study of the simulation of various models used for images

IEEE transactions on pattern analysis and machine intelligence, 1994-05, Vol.16 (5), p.507-513

1994

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"Biometrika" highlights from volume 28 onwards

Biometrika, 2013-03, Vol.100 (1), p.17-73

TITTERINGTON, D.M.

2013

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General structure of regularization procedures in image reconstruction

Astronomy and astrophysics (Berlin), 1985-03, Vol.144 (2), p.381-387

TITTERINGTON, D. M

1985

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Convergence controls for MCMC algorithms, with applications to hidden markov chains

Journal of statistical computation and simulation, 1999-11, Vol.64 (4), p.327-355

1999

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Some Aspects of Latent Structure Analysis

Lecture notes in computer science, 2006, p.69-83

2006

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Observation and modelling of magnetization reversal in multilayers supporting perpendicular magnetization

Journal of physics. D, Applied physics, 1999-02, Vol.32 (4), p.395-403

1999

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Two-Sample Test Statistics for Measuring Discrepancies Between Two Multivariate Probability Density Functions Using Kernel-Based Density Estimates

Journal of multivariate analysis, 1994-07, Vol.50 (1), p.41-54

1994

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Bayesian image restoration: an application to edge-preserving surface recovery

IEEE transactions on pattern analysis and machine intelligence, 1993-07, Vol.15 (7), p.748-752

1993

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On the determination of the number of components in a mixture

Statistics & probability letters, 1998-07, Vol.38 (4), p.295-298

1998

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Computational Bayesian analysis of hidden Markov mesh models

IEEE transactions on pattern analysis and machine intelligence, 1997-11, Vol.19 (11), p.1296-1300

1997

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Common Structure of Smoothing Techniques in Statistics

International statistical review, 1985-08, Vol.53 (2), p.141-170

Titterington, D. M.

1985

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Parameter estimation in latent profile models

Computational statistics & data analysis, 1998-06, Vol.27 (4), p.371-388

1998

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An Image Analysis Problem in Electron Microscopy

Journal of the American Statistical Association, 1996-09, Vol.91 (435), p.944-952

1996

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On confidence bands in nonparametric density estimation and regression

Journal of multivariate analysis, 1988-10, Vol.27 (1), p.228-254

1988

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A note on the distribution of the likelihood ratio statistic for normal mixture models with known proportions

Journal of statistical computation and simulation, 1999-09, Vol.64 (2), p.167-175

1999

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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

Parameter estimation for hidden Markov chains

Hierarchical Gaussian process mixtures for regression

Some Methods for Investigating Spatial Clustering, with Epidemiological Applications

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

An empirical study of the simulation of various models used for images

"Biometrika" highlights from volume 28 onwards

General structure of regularization procedures in image reconstruction

Convergence controls for MCMC algorithms, with applications to hidden markov chains

Some Aspects of Latent Structure Analysis

Observation and modelling of magnetization reversal in multilayers supporting perpendicular magnetization

Two-Sample Test Statistics for Measuring Discrepancies Between Two Multivariate Probability Density Functions Using Kernel-Based Density Estimates

Bayesian image restoration: an application to edge-preserving surface recovery

On the determination of the number of components in a mixture

Computational Bayesian analysis of hidden Markov mesh models

Common Structure of Smoothing Techniques in Statistics

Parameter estimation in latent profile models

An Image Analysis Problem in Electron Microscopy

On confidence bands in nonparametric density estimation and regression

A note on the distribution of the likelihood ratio statistic for normal mixture models with known proportions

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