Donald Titterington
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British statistician
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Donald Titteringtonmathematics Degrees
Mathematics
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Statistics
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Mathematics
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(Suggest an Edit or Addition)Donald Titterington's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Statistical analysis of finite mixture distributions (1986) (3729)
- Neural Networks: A Review from a Statistical Perspective (1994) (1188)
- Asymptotically optimal difference-based estimation of variance in nonparametric regression (1990) (373)
- Recursive Parameter Estimation Using Incomplete Data (1984) (366)
- A Study of Methods of Choosing the Smoothing Parameter in Image Restoration by Regularization (1991) (343)
- Comparison of Discrimination Techniques Applied to a Complex Data Set of Head Injured Patients (1981) (311)
- Sure independence screening for ultrahigh dimensional feature space Discussion (2008) (297)
- Statistical challenges of high-dimensional data (2009) (281)
- Recent advances in nonlinear experiment design (1989) (256)
- Incomplete data in sample surveys (1985) (252)
- Calculation of 230ThU isochrons, ages, and errors (1994) (223)
- Common structure of smoothing techniques in statistics (1985) (219)
- Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates (1994) (204)
- Variational approximations in Bayesian model selection for finite mixture distributions (2007) (171)
- General structure of regularization procedures in image reconstruction (1985) (160)
- Estimation of parameters in hidden Markov models (1991) (143)
- Bayesian Methods for Neural Networks and Related Models (2004) (130)
- Optimal design: Some geometrical aspects of D-optimality (1975) (129)
- Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model (2006) (126)
- Some recent research in the analysis of mixture distributions (1990) (121)
- [Neural Networks: A Review from Statistical Perspective]: Rejoinder (1994) (120)
- Estimation of Correlation Coefficients by Ellipsoidal Trimming (1978) (118)
- On confidence bands in nonparametric density estimation and regression (1988) (113)
- Inadequacy of interval estimates corresponding to variational Bayesian approximations (2005) (112)
- Hierarchical Gaussian process mixtures for regression (2005) (109)
- The Effect of Simulation Order on Level Accuracy and Power of Monte Carlo Tests (1989) (107)
- Gaussian Process Functional Regression Modeling for Batch Data (2007) (106)
- Common Structure of Techniques for Choosing Smoothing Parameters in Regression Problems (1987) (103)
- Edge-preserving and peak-preserving smoothing (1992) (102)
- A geometric approach to optimal design theory (1973) (102)
- A Re-Examination of the Distance-Weighted k-Nearest Neighbor Classification Rule (1987) (101)
- A Comparative Study of Kernel-Based Density Estimates for Categorical Data (1980) (100)
- Recent Developments in Statistical Inference and Data Analysis (1982) (98)
- Comment on “On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes” (2008) (87)
- On some Bayesian/regularization methods for image restoration (1995) (85)
- Minimum Covering Ellipses (1980) (83)
- Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation (2004) (82)
- DISCUSSION ON THE MEETING ON THE GIBBS SAMPLER AND OTHER MARKOV CHAIN-MONTE CARLO METHODS (1993) (82)
- Cross-validation in nonparametric estimation of probabilities and probability densities (1984) (78)
- Neural Networks and Related Methods for Classification - Discussion (1994) (75)
- t -Tests, F -Tests and Otsu's Methods for Image Thresholding (2011) (73)
- On the fitting of parallel isochrons and the method of maximum likelihood (1979) (73)
- Updating a Diagnostic System using Unconfirmed Cases (1976) (71)
- Convergence and Asymptotic Normality of Variational Bayesian Approximations for Expon (2004) (69)
- Statistics and neural networks: advances at the interface (2000) (69)
- Reparameterization strategies for hidden Markov models and Bayesian approaches to maximum likelihood estimation (1998) (68)
- An Empirical Study of the Simulation of Various Models used for Images (1994) (68)
- Determining the parametric structure of models. (2010) (65)
- Do unbalanced data have a negative effect on LDA? (2008) (65)
- An optimal design problem in rhythmometry. (1988) (65)
- Estimation Problems with Data from a Mixture (1978) (63)
- On estimation of noise variance in two-dimensional signal processing (1991) (63)
- Variational Bayes for estimating the parameters of a hidden Potts model (2009) (63)
- On the Iterative Image Space Reconstruction Algorthm for ECT (1987) (61)
- Inference and sequential design (1985) (58)
- Median-based image thresholding (2011) (56)
- Lack of Consistency of Mean Field and Variational Bayes Approximations for State Space Models (2004) (54)
- Some Methods for Investigating Spatial Clustering, with Epidemiological Applications (1997) (52)
- On Smoothing Sparse Multinomial Data (1987) (52)
- Statistical Modeling and Computation (2005) (51)
- Computational Bayesian Analysis of Hidden Markov Models (1998) (49)
- Aspects of Optimal Design in Dynamic Systems (1980) (47)
- Tilting methods for assessing the influence of components in a classifier (2009) (46)
- Parameter estimation for hidden Markov chains (2002) (45)
- Multidimensional Markov Chain Models for Image Textures (1991) (44)
- Stochastic relaxations and em algorithms for markov random fields (1992) (44)
- Minimum Distance Non-Parametric Estimation of Mixture Proportions (1983) (43)
- Efficient Nonparametric Estimation of Mixture Proportions (1984) (40)
- Midfacial fractures and the eye: the development of a system for detecting patients at risk of eye injury. (1991) (40)
- A cautionary note about crossvalidatory choice (1989) (38)
- Comment on “Estimating Parameters in Continuous Univariate Distributions” (1985) (38)
- Kernel‐Based Density Estimates from Incomplete Data (1983) (38)
- On the use of Gibbs Markov chain models in the analysis of images based on second-order pairwise interactive distributions (1989) (37)
- Approximate Bayesian inference for simple mixtures (2000) (37)
- A comparative study of smoothing procedures for ordered categorical data (1985) (37)
- INFLUENCE OF HLA MATCHING AND BLOOD TRANSFUSION ON RENAL ALLOGRAFT SURVIVAL (1978) (36)
- Median-Based Classifiers for High-Dimensional Data (2009) (35)
- Comments on "Application of the Conditional Population-Mixture Model to Image Segmentation" (1984) (34)
- Ophthalmic consequences of mid-facial trauma (1992) (33)
- Protection against acute renal failure in rats by passive immunisation against angiotensin II. (1972) (33)
- Parameter estimation for hidden Gibbs chains (1990) (31)
- Accuracy of the Bethe approximation for hyperparameter estimation in probabilistic image processing (2004) (30)
- General Differential and Lagrangian Theory for Optimal Experimental Design (1983) (29)
- Analysis of incomplete multivariate binary data by the kernel method (1977) (28)
- Noise estimation in signal restoration using regularization (1991) (27)
- The maximum entropy method for data analysis (1984) (27)
- Improved Particle Filters and Smoothing (2001) (27)
- Ridge Finding from Noisy Data (1992) (27)
- Treatment of cold urticaria (1979) (25)
- Probabilistic image processing by means of the Bethe approximation for the Q-Ising model (2003) (25)
- The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces (2006) (24)
- Bayesian inference in hidden Markov modelsthrough reversible jump Markov chain Monte (23)
- Relation between prognosis and the blood pressure before and during treatment of hypertensive patients. (1978) (23)
- On the deter-mination of the number of components in a mixture (1998) (23)
- Midfacial fractures and the eye: the development of a system for detecting patients at risk of eye injury--a prospective evaluation. (1991) (22)
- Curve estimation when the design density is low (1997) (21)
- Imputation of missing values using density estimation (1989) (21)
- On partial local smoothing rules for curve estimation (1995) (20)
- Kernel ellipsoidal trimming (2007) (19)
- The p-folded cumulative distribution function and the mean absolute deviation from the p-quantile (2011) (19)
- Variational approximations for categorical causal modeling with latent variables (2003) (19)
- The EM Algorithm, Variational Approximations and Expectation Propagation for Mixtures (2011) (18)
- On some smoothing techniques used in image restoration (1986) (18)
- Kernel-based density estimation using censored, truncated or grouped data (1983) (17)
- Statistical trajectory of an approximate EM algorithm for probabilistic image processing (2007) (16)
- Statistical analysis of finite mixture distributions (book review) (1986) (16)
- A comparison of iterative methods for obtaining maximum likelihood estimates in contingency tables with a missing diagonal (1977) (16)
- Computational Bayesian Analysis of Hidden Markov Mesh Models (1997) (15)
- On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance (2010) (15)
- An Image Analysis Problem in Electron Microscopy (1996) (15)
- ‘Recursive estimation procedures for missing-data problems’ (1983) (15)
- Bayesian Image Restoration: An Application to Edge-Preserving Surface Recovery (1993) (14)
- Pixel labelling for three-dimensional scenes based on Markov mesh models (1991) (14)
- Optimal design for curve estimation by local linear smoothing (1998) (14)
- The importance of good blood pressure control in the prevention of stroke recurrence in hypertensive patients (1981) (13)
- A Lagrangian approach to optimal design (1974) (13)
- Mean fields and two-dimensional Markov random fields in image analysis (1998) (12)
- The Use of Uncategorized Data to Improve the Performance of a Nonparametric Estimator of a Mixture Density (1985) (12)
- Joint discriminative-generative modelling based on statistical tests for classification (2010) (12)
- Discussion: Linear Smoothers and Additive Models (1989) (12)
- The Quality and Relevance of Peripheral Neuropathy Data on a Diabetic Clinical Information System (1992) (12)
- Statistics and Neural Networks (2000) (11)
- On the shrinkage of local linear curve estimators (1997) (11)
- Fractal model of a one-dimensional discrete signal and its implementation (1994) (11)
- An alternative stochastic supervisor in discriminant analysis (1989) (11)
- On the estimation of noisy binary Markov random fields (1992) (11)
- <formula formulatype="inline"><tex Notation="TeX">$t$</tex> </formula>-Tests, <formula formulatype="inline"><tex Notation="TeX">$F$</tex> </formula>-Tests and Otsu's Methods for Image Thresholding (2011) (10)
- Variational Bayes Estimation of Mixing Coefficients (2004) (10)
- The influence of initial conditions on maximum likelihood estimation of the parameters of a binary hidden Markov model (1998) (9)
- Observation and modelling of magnetization reversal in multilayers supporting perpendicular magnetization (1999) (9)
- Bayesian Image Modeling by Means of a Generalized Sparse Prior and Loopy Belief Propagation (2012) (9)
- Image labelling and the statistical analysis of incomplete data (1986) (9)
- Injection site lesions of footrot vaccines in sheep. (1984) (9)
- Beyond the binary Boltzmann machine (1995) (8)
- Mixture Distributions (Update) (2004) (8)
- Loopy belief propagation and probabilistic image processing (2003) (8)
- On constrained balance randomization for clinical trials. (1983) (8)
- Another look at a Bayesian direct deconvolution method (1985) (8)
- Geometric approaches to design of experiment (1980) (8)
- Some examples of recursive variational approximations for Bayesian inference (2001) (8)
- Improving the Mean-Field Approximation in Belief Networks Using Bahadur's Reparameterisation of the Multivariate Binary Distribution (2000) (8)
- Edgeworth expansions in very-high-dimensional problems (1998) (7)
- Transdimensional sequential Monte Carlo using variational Bayes - SMCVB (2016) (7)
- Applying the deterministic annealing expectation maximization algorithm to Naive Bayes networks (2002) (7)
- Filtered Gaussian Processes for Learning with Large Data-Sets (2003) (7)
- On a Modification to the Mean Field EM Algorithm in Factorial Learning (1996) (7)
- Local convergence of variational Bayes estimators for mixing coefficients (2003) (7)
- Choosing the regularization parameter in image restoration (1991) (7)
- Interpretation of hybrid generative/discriminative algorithms (2009) (6)
- Discriminant analysis of macrocytic red cells. (2008) (6)
- Cross-correlation between simultaneously generated sequences of pseudo-random uniform deviates (1993) (5)
- Introduction to Gelfand and Smith (1990) Sampling-Based Approaches to Calculating Marginal Densities (1997) (5)
- Analysis of latent structure models with multidimensional latent variables (2000) (5)
- A comparison of two statistics for detecting clustering in one dimension (1995) (5)
- Variational Bayesian Inference for Partially Observed Diusions (2003) (4)
- Optimal Design in Flexible Models, Including Feed-Forward Networks and Nonparametric Regression (2001) (4)
- The exploration of new methods for learning in binary Boltzmann machines (1999) (4)
- Parameter estimation in latent profile models (1998) (4)
- NONPARAMETRIC FUNCTIONAL ESTIMATION (Probability & Mathematical Statistics: A Series of Monographs & Textbooks) (1985) (4)
- Logistic-Normal Distribution (2014) (4)
- Bayesian Sampling for Mixtures of Factor Analysers (2000) (3)
- Some Aspects of Latent Structure Analysis (2005) (3)
- Acute renal failure in the rat: protection by passive immunisation against angiotensin II. (1972) (3)
- First-Order Phase Transition and Bayesian Image Processing by Loopy Belief Propagation (2005) (3)
- A Method of Extremum Adaptation (1973) (3)
- Biometrika: One Hundred Years (2002) (3)
- Probabilistic image processing based on the Q-Ising model by means of the mean-field method and loopy belief propagation (2004) (3)
- THE DIRECT OBSERVATION OF MAGNETISATION REVERSAL IN FILMS OF INTEREST FOR HIGH DENSITY INFORMATION STORAGE (1998) (3)
- A note on the distribution of the likelihood ratio statistic for normal mixture models with known proportions (1999) (3)
- Threshold Selection from Image Histograms with Skewed Components Based on Maximum-likelihood Estimation of Skew-normal and Log-concave Distributions (2011) (3)
- Learning with large data sets using filtered {G}aussian Process priors (2005) (3)
- - Tests ,-Tests and Otsu ’ s Methods for Image Thresholding (2011) (2)
- Improving multi-way block designs at the cost of nuisance parameters (1986) (2)
- Some Problems with Data From Finite Mixture Distributions (1982) (2)
- Biometrika highlights from volume 28 onwards (2013) (2)
- Some Aspects of Statistical Image Modelling and Restoration (2006) (2)
- A simple rule to identify people with diabetes at risk of foot ulceration (1995) (2)
- A small selection of neural network methods and their statistical connections (1994) (2)
- A contamination model and resistant estimation within the sampling paradigm (1993) (2)
- Image Thresholding by Using Statistics for Determining the Number of Clusters (2011) (2)
- [A Statistical Perspective on Ill-Posed Inverse Problems]: Comment (1986) (2)
- Computational Bayesian Analysis of Hidden (2016) (1)
- Discriminative Image Thresholding (2007) (1)
- Multiresolution approximation of fractal transforms and its applications (1995) (1)
- Mixture Distributions—II (2006) (1)
- An example of a perturbation-type extremum controller (1974) (1)
- Modelling magnetic material images with simultaneous autoregressions (1999) (1)
- Boltzmann machines: Statistical associations and algorithms for training (1998) (1)
- Short note on two output-dependent hidden Markov models (2008) (1)
- On the construction of approximate multi-factor designs from given marginals using the iterative proportional fitting procedure (1987) (1)
- The Innuence of Initial Conditions on Maximum Likelihood Estimation of the Parameters of a Binary Hidden Markov Model (1996) (1)
- Invariance and minimax statistical tests (1977) (1)
- A curious property of the derivatives of the Cauchy density (1996) (0)
- Normal approximations for lattice systems (1992) (0)
- Probabilistic image processing by extended Gauss-Markov random fields (2009) (0)
- Introductory remarks (1991) (0)
- Synthesis of magnetic material images using SAR models with irregular neighbour sets (2000) (0)
- Variational Bayesian inference for partially observed stochastic dynamical systems (2009) (0)
- Interpolation rules suggested by asymptotic expansions (1992) (0)
- Statistical Density Estimation: A Survey (1979) (0)
- Self‐Consistent Estimators (2014) (0)
- The EM algorithm for the mover-stayer model. (1989) (0)
- The statistical Analysis of compositional data - Aitchison, J. . (1987) (0)
- Discussion on the paper by Friedman and Fisher (1999) (0)
- Medical Diagnosis, Statistics in (2006) (0)
- MATCHING AND LINEAR REGRESSION ADJUSTMENT IN IMPUTATION AND OBSERVATIONAL STUDIES (2016) (0)
- Book Reviews (2001) (0)
- Software systems for the Ryle Telescope (1991) (0)
- Amendments and Corrections 'Biometrika highlights from volume 28 onwards' (2013) (0)
- P-208. Endothelin receptor expression in human decidual stromal cells (1997) (0)
- Amendments and Corrections: Recursive Estimation Procedures for Missing- Data Problems (1989) (0)
- Book reviews (1987) (0)
- Short Note on Two Output-dependent Hidden (2007) (0)
- American Society for Quality Edge-Preserving and Peak-Preserving Smoothing (2012) (0)
- Book reviews (1995) (0)
- 11. Stochastic Geometry Models in Image Analysis and Spatial Statistics (1996) (0)
- Mixture Distributions ‐ Further Developments (2014) (0)
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