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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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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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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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Asymptotically optimal difference-based estimation of variance in nonparametric regression

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

1990

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Recursive Parameter Estimation Using Incomplete Data

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1984-01, Vol.46 (2), p.257-267

Titterington, D. M.

1984

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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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The Effect of Simulation Order on Level Accuracy and Power of Monte Carlo Tests

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1989-01, Vol.51 (3), p.459-467

1989

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Common Structure of Techniques for Choosing Smoothing Parameters in Regression Problems

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1987-01, Vol.49 (2), p.184-198

1987

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On partial local smoothing rules for curve estimation

Biometrika, 1995-09, Vol.82 (3), p.575-587

1995

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A Contamination Model and Resistant Estimation Within the Sampling Paradigm

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1993, Vol.55 (4), p.817-827

Titterington, D. M.

1993

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Multidimensional Markov Chain Models for Image Textures

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1991, Vol.53 (3), p.661-674

1991

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An Optimal Design Problem in Rhythmometry

Biometrics, 1988-09, Vol.44 (3), p.657-671

1988

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Minimum Distance Non-Parametric Estimation of Mixture Proportions

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1983-01, Vol.45 (1), p.37-46

Titterington, D. M.

1983

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Noise estimation in signal restoration using regularization

Biometrika, 1991-09, Vol.78 (3), p.475-488

1991

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Optimal Design: Some Geometrical Aspects of D-Optimality

Biometrika, 1975-08, Vol.62 (2), p.313

Titterington, D. M.

1975

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Interpolation rules suggested by asymptotic expansions

Biometrika, 1992-09, Vol.79 (3), p.651-653

1992

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Efficient Nonparametric Estimation of Mixture Proportions

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1984-01, Vol.46 (3), p.465-473

1984

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On Constrained Balance Randomization for Clinical Trials

Biometrics, 1983-12, Vol.39 (4), p.1083-1086

Titterington, D. M.

1983

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Cross-validation in nonparametric estimation of probabilities and probability densities

Biometrika, 1984-08, Vol.71 (2), p.341-351

1984

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On Some Smoothing Techniques Used in Image Restoration

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1986-01, Vol.48 (3), p.330-343

1986

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Discussion on the Meeting on the Gibbs Sampler and Other Markov Chain Monte Carlo Methods

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1993-01, Vol.55 (1), p.53-102

1993

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The Use of Uncategorized Data to Improve the Performance of a Nonparametric Estimator of a Mixture Density

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1985-01, Vol.47 (1), p.155-163

1985

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The EM Algorithm for the Mover-Stayer Model

Biometrics, 1989-09, Vol.45 (3), p.1029-1030

1989

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Kernel-Based Density Estimates from Incomplete Data

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1983-01, Vol.45 (2), p.258-266

1983

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Updating a Diagnostic System Using Unconfirmed Cases

Applied Statistics, 1976-01, Vol.25 (3), p.238-247

Titterington, D. M.

1976

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

Perfect samplers for mixtures of distributions

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

Asymptotically optimal difference-based estimation of variance in nonparametric regression

Recursive Parameter Estimation Using Incomplete Data

Some Methods for Investigating Spatial Clustering, with Epidemiological Applications

The Effect of Simulation Order on Level Accuracy and Power of Monte Carlo Tests

Common Structure of Techniques for Choosing Smoothing Parameters in Regression Problems

On partial local smoothing rules for curve estimation

A Contamination Model and Resistant Estimation Within the Sampling Paradigm

Multidimensional Markov Chain Models for Image Textures

An Optimal Design Problem in Rhythmometry

Minimum Distance Non-Parametric Estimation of Mixture Proportions

Noise estimation in signal restoration using regularization

Optimal Design: Some Geometrical Aspects of D-Optimality

Interpolation rules suggested by asymptotic expansions

Efficient Nonparametric Estimation of Mixture Proportions

On Constrained Balance Randomization for Clinical Trials

Cross-validation in nonparametric estimation of probabilities and probability densities

On Some Smoothing Techniques Used in Image Restoration

Discussion on the Meeting on the Gibbs Sampler and Other Markov Chain Monte Carlo Methods

The Use of Uncategorized Data to Improve the Performance of a Nonparametric Estimator of a Mixture Density

The EM Algorithm for the Mover-Stayer Model

Kernel-Based Density Estimates from Incomplete Data

Updating a Diagnostic System Using Unconfirmed Cases

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