D. M. Titterington

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All published works

Action	Title	Year	Authors
+	Computational Bayesian Analysis of Hidden	2016	D. M. Titterington
+	MATCHING AND LINEAR REGRESSION ADJUSTMENT IN IMPUTATION AND OBSERVATIONAL STUDIES	2016	D. M. Titterington J. Sedransk
+	Transdimensional sequential Monte Carlo using variational Bayes — SMCVB	2016	Clare A. McGrory A. N. Pettitt D. M. Titterington Clair Alston‐Knox Matt Kelly
+	Transdimensional sequential Monte Carlo using variational Bayes — SMCVB	2015	Clare A. McGrory A. N. Pettitt D. M. Titterington Clair Alston‐Knox Matt Kelly
+	Mixture Distributions ‐ Further Developments	2014	D. M. Titterington
+	Self‐Consistent Estimators	2014	D. M. Titterington
+	Logistic‐Normal Distribution	2014	D. M. Titterington
+	Medical Diagnosis, Statistics in	2014	D. M. Titterington
+ PDF Chat	'Biometrika highlights from volume 28 onwards'	2013	D. M. Titterington
+ PDF Chat	Biometrika highlights from volume 28 onwards	2013	D. M. Titterington
+	Bayesian Image Modeling by Means of a Generalized Sparse Prior and Loopy Belief Propagation	2012	Kazuyuki Tanaka Muneki Yasuda D. M. Titterington
+	Convergence and asymptotic normality of variational Bayesian approximations for exponential family models with missing values	2012	Bo Wang D. M. Titterington
+	Statistical analysis of the expectation-maximization algorithm with loopy belief propagation in Bayesian image modeling	2011	S. Kataoka Muneki Yasuda Kazuyuki Tanaka D. M. Titterington
+ PDF Chat	The -folded cumulative distribution function and the mean absolute deviation from the -quantile	2011	Jing‐Hao Xue D. M. Titterington
+	Median-Based Classifiers for High-Dimensional Data	2009	Peter Hall D. M. Titterington Jing‐Hao Xue
+ PDF Chat	Statistical challenges of high-dimensional data	2009	Iain M. Johnstone D. M. Titterington
+ PDF Chat	Tilting Methods for Assessing the Influence of Components in a Classifier	2009	Peter Hall D. M. Titterington Jing‐Hao Xue
+ PDF Chat	VARIATIONAL BAYESIAN ANALYSIS FOR HIDDEN MARKOV MODELS	2009	Clare A. McGrory D. M. Titterington
+ PDF Chat	A Bayesian Reassessment of Nearest-Neighbor Classification	2009	Lionel Cucala Jean‐Michel Marin Christian P. Robert D. M. Titterington
+ PDF Chat	Variational Bayesian inference for partially observed stochastic dynamical systems	2009	B. Wang D. M. Titterington
+	Comment on “On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes”	2008	Jing‐Hao Xue D. M. Titterington
+ PDF Chat	Variational Bayes for estimating the parameters of a hidden Potts model	2008	Clare A. McGrory D. M. Titterington R. Reeves A. N. Pettitt
+ PDF Chat	Do unbalanced data have a negative effect on LDA?	2007	Jing‐Hao Xue D. M. Titterington
+	Kernel ellipsoidal trimming	2007	AN Dolia CJ Harris JS Shawe-Taylor D. M. Titterington
+ PDF Chat	Kernel ellipsoidal trimming	2007	Alexander N. Dolia C.J. Harris John Shawe‐Taylor D. M. Titterington
+ PDF Chat	Discussion on the paper by Handcock, Raftery and Tantrum	2007	Tom A. B. Snijders Tony Robinson Anthony C. Atkinson Marco Riani Isobel Claire Gormley Thomas Brendan Murphy Trevor J. Sweeting David S. Leslie Nicholas T. Longford John T. Kent
+ PDF Chat	Deviance information criteria for missing data models	2006	Gilles Celeux Florence Forbes Caroline Robert D. M. Titterington
+ PDF Chat	Variational approximations in Bayesian model selection for finite mixture distributions	2006	Clare A. McGrory D. M. Titterington
+	SOME ASPECTS OF STATISTICAL IMAGE MODELLING AND RESTORATION	2006	D. M. Titterington
+ PDF Chat	Some Aspects of Latent Structure Analysis	2006	D. M. Titterington
+ PDF Chat	The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces	2006	Alexander N. Dolia Tijl De Bie C.J. Harris John Shawe‐Taylor D. M. Titterington
+	Mixture Distributions—<scp>II</scp>	2005	D. M. Titterington
+	Medical Diagnosis, Statistics in	2005	D. M. Titterington
+	Self‐Consistent Estimators	2005	D. M. Titterington
+	Inadequacy of interval estimates corresponding to variational Bayesian approximations	2005	Bo Wang D. M. Titterington
+	Variational Bayes Estimation of Mixing Coefficients	2005	Bo Wang D. M. Titterington
+	Lack of Consistency of Mean Field and Variational break Bayes Approximations for State Space Models	2004	Bo Wang D. M. Titterington
+	Accuracy of the Bethe approximation for hyperparameter estimation in probabilistic image processing	2004	Kazuyuki Tanaka Hayaru Shouno Masato Okada D. M. Titterington
+	Mixture Distributions (Update)	2004	D. M. Titterington
+	Convergence and asymptotic normality of variational Bayesian approximations for exponential family models with missing values	2004	Bo Wang D. M. Titterington
+ PDF Chat	Bayesian Methods for Neural Networks and Related Models	2004	D. M. Titterington
+	Probabilistic image processing by means of the Bethe approximation for the<i>Q</i>-Ising model	2003	Kazuyuki Tanaka Jun-ichi Inoue D. M. Titterington
+	Variational approximations for categorical causal modeling with latent variables	2003	Keith Humphreys D. M. Titterington
+ PDF Chat	None	2003	Ernest Fokoué D. M. Titterington
+	Parameter estimation for hidden Markov chains	2002	G. E. Archer D. M. Titterington
+ PDF Chat	Perfect Samplers for Mixtures of Distributions	2002	George Casella Kerrie Mengersen Christian P. Robert D. M. Titterington
+ PDF Chat	On the Adequacy of Variational Lower Bound Functions for Likelihood-based Inference in Markovian Models with Missing Values	2002	Peter Hall Keith Humphreys D. M. Titterington
+ PDF Chat	Bayesian Inference in Hidden Markov Models Through the Reversible Jump Markov Chain Monte Carlo Method	2000	Christian P. Robert Tobias Rydén D. M. Titterington
+	Approximate Bayesian inference for simple mixtures	2000	Keith Humphreys D. M. Titterington
+	A note on the distribution of the likelihood ratio statistic for normal mixture models with known proportions	1999	Athanase Polymenis D. M. Titterington
+	Perfect Slice Samplers for Mixtures of Distributions	1999	George Casella Kerrie Mengersen Christian P. Robert D. M. Titterington
+	None	1999	James P. Hobert Christian P. Robert D. M. Titterington
+	Edgeworth expansions in very-high-dimensional problems	1998	Niall Anderson Peter Hall D. M. Titterington
+	On the determination of the number of components in a mixture	1998	Athanase Polymenis D. M. Titterington
+	Computational Bayesian Analysis of Hidden Markov Models	1998	Tobias Rydén D. M. Titterington
+	None	1998	Christian P. Robert D. M. Titterington
+	None	1997	Ming‐Yen Cheng Peter Hall D. M. Titterington
+	Computational Bayesian analysis of hidden Markov mesh models	1997	A. P. Dunmur D. M. Titterington
+	Introduction to Gelfand and Smith (1990) Sampling-Based Approaches to Calculating Marginal Densities	1997	D. M. Titterington
+	An Image Analysis Problem in Electron Microscopy	1996	Wenbin Qian D. M. Titterington J. N. Chapman
+	An Image Analysis Problem in Electron Microscopy	1996	W. Qian D. M. Titterington J. N. Chapman
+	Stochastic Geometry Models in Image Analysis and Spatial Statistics.	1996	D. M. Titterington M. N. M. van Lieshout
+	A comparison of two statistics for detecting clustering in one dimension	1995	Niall Anderson D. M. Titterington
+	On Some BayesianRegularization Methods for Image Restoration	1995	Graeme Archer D. M. Titterington
+	Two-Sample Test Statistics for Measuring Discrepancies Between Two Multivariate Probability Density Functions Using Kernel-Based Density Estimates	1994	Niall Anderson Peter A. Hall D. M. Titterington
+	A Contamination Model and Resistant Estimation Within the Sampling Paradigm	1993	D. M. Titterington
+	Cross-correlation between simultaneously generated sequences of pseudo-random uniform deviates	1993	Niall Anderson D. M. Titterington
+	Normal approximations for lattice systems	1992	Wei Qian D. M. Titterington
+	Interpolation rules suggested by asymptotic expansions	1992	Niall Anderson Peter Hall D. M. Titterington
+	On estimation of noise variance in two-dimensional signal processing	1991	Peter Hall Jim Kay D. M. Titterington
+	On estimation of noise variance in two-dimensional signal processing	1991	Peter Hall Jim Kay D. M. Titterington
+	Noise estimation in signal restoration using regularization	1991	Adam Thompson Jim Kay D. M. Titterington
+	Asymptotically optimal difference-based estimation of variance in nonparametric regression	1990	Peter Hall Jim Kay D. M. Titterington
+	Some recent research in the analysis of mixture distributions	1990	D. M. Titterington
+	Imputation of missing values using density estimation	1989	D. M. Titterington J. Sedransk
+	Amendments and Corrections: Recursive Estimation Procedures for Missing- Data Problems	1989	D. M. Titterington Jianan Jiang
+	An alternative stochastic supervisor in discriminant analysis	1989	D. M. Titterington
+	On confidence bands in nonparametric density estimation and regression	1988	Peter Hall D. M. Titterington
+ PDF Chat	On the construction of approximate multi-factor designs from given marginals using the iterative proportional fitting procedure	1987	Friedrich Pukelsheim D. M. Titterington
+	A Re-Examination of the Distance-Weighted k-Nearest Neighbor Classification Rule	1987	James Macleod Andrew Luk D. M. Titterington
+	On Smoothing Sparse Multinomial Data	1987	Peter Hall D. M. Titterington
+	Common Structure of Techniques for Choosing Smoothing Parameters in Regression Problems	1987	Peter Hall D. M. Titterington
+ PDF Chat	[A Statistical Perspective on Ill-Posed Inverse Problems]: Comment	1986	D. M. Titterington
+ PDF Chat	Improving multi-way block designs at the cost of nuisance parameters	1986	Friedrich Pukelsheim D. M. Titterington
+	Statistical analysis of finite mixture distributions (book review)	1986	D. M. Titterington A. F. M. Smith Udi Makov JO Newton
+	Comment on “Estimating Parameters in Continuous Univariate Distributions”	1985	D. M. Titterington
+	The Use of Uncategorized Data to Improve the Performance of a Nonparametric Estimator of a Mixture Density	1985	Peter Hall D. M. Titterington
+	Common Structure of Smoothing Techniques in Statistics	1985	D. M. Titterington
+	A comparative study of smoothing procedures for ordered categorical data	1985	D. M. Titterington Adrian Bowman
+	Inference and sequential design	1985	Ian Ford D. M. Titterington Changbao Wu
+	NONPARAMETRIC FUNCTIONAL ESTIMATION (Probability & Mathematical Statistics: A Series of Monographs & Textbooks)	1985	D. M. Titterington
+	Comments on ``Application of the Conditional Population-Mixture Model to Image Segmentation''	1984	D. M. Titterington
+	Cross-Validation in Nonparametric Estimation of Probabilities and Probability Densities	1984	Adrian Bowman Peter Hall D. M. Titterington
+	Efficient Nonparametric Estimation of Mixture Proportions	1984	Peter Hall D. M. Titterington
+	Cross-validation in nonparametric estimation of probabilities and probability densities	1984	Adrian Bowman Peter Hall D. M. Titterington
+	Recursive Parameter Estimation Using Incomplete Data	1984	D. M. Titterington
+	On Constrained Balance Randomization for Clinical Trials	1983	D. M. Titterington
+	Recursive Estimation Procedures for Missing-Data Problems	1983	D. M. Titterington J.M. Jiang
+	Minimum Distance Non-Parametric Estimation of Mixture Proportions	1983	D. M. Titterington
+	Recursive estimation procedures for missing-data problems	1983	D. M. Titterington J-M. JIANG
+	Kernel-based density estimation using censored, truncated or grouped data	1983	D. M. Titterington
+	Kernel-Based Density Estimates from Incomplete Data	1983	D. M. Titterington G. M. Mill
+	Some Problems with Data From Finite Mixture Distributions	1982	D. M. Titterington
+	COMPARISON OF DISCRIMINATION TECHNIQUES APPLIED TO A COMPLEX DATA SET OF HEAD INJURED PATIENTS	1981	D. M. Titterington GD Murray Ls Murray Dj Spiegelhalter Am Skene J. D. F. Habbema G. J. Gelpke
+	A Comparative Study of Kernel-Based Density Estimates for Categorical Data	1980	D. M. Titterington
+	A Comparative Study of Kernel-Based Density Estimates for Categorical Data	1980	D. M. Titterington
+	Geometric approaches to design of experiment	1980	D. M. Titterington
+	Estimation Problems with Data from a Mixture	1978	Gordon Murray D. M. Titterington
+	A comparison of iterative methods for obtaining maximum likelihood estimates in contingency tables with a missing diagonal	1977	Byron J. T. Morgan D. M. Titterington
+	Analysis of incomplete multivariate binary data by the kernel method	1977	D. M. Titterington

Common Coauthors

Coauthor	Papers Together
Peter Hall	8
Christian P. Robert	6
Niall Anderson	5
Clare A. McGrory	5
Jing‐Hao Xue	5
Bo Wang	4
Jim Kay	4
Kazuyuki Tanaka	4
Peter Hall	4
A. N. Pettitt	3
Keith Humphreys	3
Adrian Bowman	3
Peter Hall	3
Alexander N. Dolia	2
Muneki Yasuda	2
Matt Kelly	2
Clair Alston‐Knox	2
Athanase Polymenis	2
George Casella	2
Tobias Rydén	2
C.J. Harris	2
Kerrie Mengersen	2
John Shawe‐Taylor	2
Friedrich Pukelsheim	2
J. Sedransk	2
M. N. M. van Lieshout	1
Andrew B. Lawson	1
JO Newton	1
J.M. Jiang	1
Anuška Ferligoj	1
Katherine Faust	1
Ls Murray	1
Changbao Wu	1
A. P. Dunmur	1
Priscilla E. Greenwood	1
Am Skene	1
Vladimir Batagelj	1
Steven M. Goodreau	1
David S. Leslie	1
Bruno Mendes	1
Marijtje A. J. van Duijn	1
S. Kataoka	1
Peter A. Hall	1
James Macleod	1
Carter T. Butts	1
Ming‐Yen Cheng	1
Gilles Celeux	1
Byron J. T. Morgan	1
David R. Hunter	1
Edoardo M. Airoldi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	18
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	15
+	Statistical Analysis of Non-Lattice Data	1975	Julian Besag	10
+	Multivariate binary discrimination by the kernel method	1976	J. Aitchison Colin Aitken	9
+	Estimation of Finite Mixture Distributions Through Bayesian Sampling	1994	Jean Diebolt Christian P. Robert	9
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	8
+	Approximate Bayesian inference for simple mixtures	2000	Keith Humphreys D. M. Titterington	7
+	On Bootstrapping the Likelihood Ratio Test Stastistic for the Number of Components in a Normal Mixture	1987	Geoffrey J. McLachlan	7
+	Variational Bayesian Model Selection for Mixture Distributions	2001	Adrian Corduneanu Chris Bishop	7
+ PDF Chat	On the Adequacy of Variational Lower Bound Functions for Likelihood-based Inference in Markovian Models with Missing Values	2002	Peter Hall Keith Humphreys D. M. Titterington	6
+	Constrained Monte Carlo Maximum Likelihood for Dependent Data	1992	Charles J. Geyer E. A. Thompson	6
+	Inference and missing data	1976	Donald B. Rubin	6
+	Bayesian image restoration, with two applications in spatial statistics	1991	Julian Besag Jeremy York Annie Molli�	6
+	Monte Carlo Study of Three Data-Based Nonparametric Probability Density Estimators	1981	David W. Scott Lynette E. Factor	5
+ PDF Chat	Markov Chains for Exploring Posterior Distributions	1994	Luke Tierney	5
+	Fully Bayesian estimation of Gibbs hyperparameters for emission computed tomography data	1997	David Higdon J.E. Bowsher Valen E. Johnson Timothy G. Turkington D.R. Gilland R.J. Jaszczak	5
+	A Comparative Study of Kernel-Based Density Estimates for Categorical Data	1980	D. M. Titterington	5
+	On nonparametric multivariate binary discrimination	1981	Peter Hall	5
+	Density Estimation with Confidence Sets Exemplified by Superclusters and Voids in the Galaxies	1990	Kathryn Roeder	5
+	Some recent research in the analysis of mixture distributions	1990	D. M. Titterington	5
+	Asymptotically optimal difference-based estimation of variance in nonparametric regression	1990	Peter Hall Jim Kay D. M. Titterington	5
+	Estimation Problems with Data from a Mixture	1978	Gordon Murray D. M. Titterington	5
+	On Jointly Estimating Parameters and Missing Data by Maximizing the Complete-Data Likelihood	1983	Roderick J. A. Little Donald B. Rubin	5
+ PDF Chat	Simultaneous Estimation of Multinomial Cell Probabilities	1973	Stephen E. Fienberg Paul W. Holland	5
+	Bayesian “Confidence Intervals” for the Cross-Validated Smoothing Spline	1983	Grace Wahba	5
+ PDF Chat	Bayesian Measures of Model Complexity and Fit	2002	David J. Spiegelhalter Nicola Best Bradley P. Carlin Angelika van der Linde	5
+	Choosing the window width when estimating a density	1978	B. W. Silverman	5
+	Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter	1979	Gene H. Golub Michael T. Heath Grace Wahba	5
+	Residual variance and residual pattern in nonlinear regression	1986	Théo Gasser Lothar Sroka Christine Jennen-Steinmetz	5
+ PDF Chat	Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model	2006	D. M. Titterington Bo Wang	5
+	Variational Inference for Bayesian Mixtures of Factor Analysers	1999	Zoubin Ghahramani Matthew J. Beal	5
+	Properties of Diagnostic Data Distributions	1976	A. P. Dawid	5
+	Advanced mean field methods: theory and practice	2001	Manfred Opper David Saad	5
+ PDF Chat	Remarks on Some Nonparametric Estimates of a Density Function	1956	Murray Rosenblatt	5
+	The estimation of residual variance in nonparametric regression	1988	Michael Buckley G. K. Eagleson B. W. Silverman	5
+	The Calculation of Posterior Distributions by Data Augmentation	1987	Martin A. Tanner Wing Hung Wong	5
+	Sampling-Based Approaches to Calculating Marginal Densities	1990	Alan E. Gelfand A. F. M. Smith	5
+	Testing in normal mixture models when the proportions are known	1992	Bruno Goffinet Patrice Loisel BEATRICE LAURENT	4
+	Comments on ``Application of the Conditional Population-Mixture Model to Image Segmentation''	1984	D. M. Titterington	4
+	Spatial Interaction and the Statistical Analysis of Lattice Systems	1974	Julian Besag	4
+	Computational and Inferential Difficulties with Mixture Posterior Distributions	2000	Gilles Celeux Merrilee Hurn Christian P. Robert	4
+ PDF Chat	Moment Matrices: Applications in Mixtures	1989	Bruce G. Lindsay	4
+	Information Ratios for Validating Mixture Analyses	1992	Michael P. Windham Adele Cutler	4
+	Markov Chain Monte Carlo in Practice	1995	Walter R. Gilks Sylvia Richardson David J. Spiegelhalter	4
+	Probabilistic image processing by means of the Bethe approximation for the<i>Q</i>-Ising model	2003	Kazuyuki Tanaka Jun-ichi Inoue D. M. Titterington	4
+ PDF Chat	The Geometry of Mixture Likelihoods: A General Theory	1983	Bruce G. Lindsay	4
+	On the Asymptotic Behaviour of Posterior Distributions	1969	A. M. Walker	4
+ PDF Chat	Natural Exponential Families with Quadratic Variance Functions: Statistical Theory	1983	Carl N. Morris	4
+	Fully Bayesian Approach to Image Restoration with an Application in Biogeography	1994	Juha Heikkinen Harri Högmander	4
+	Hidden Markov Models and Disease Mapping	2002	Peter J. Green Sylvia Richardson	4