Donald Titterington

Donald Titterington's AcademicInfluence.com Rankings

Donald Titterington

Mathematics

#5943

World Rank

#8310

Historical Rank

Statistics

#490

World Rank

#565

Historical Rank

mathematics Degrees

Download Badge

Mathematics

Why Is Donald Titterington Influential?

(Suggest an Edit or Addition)

(See a Problem?)

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)

This paper list is powered by the following services:

What Schools Are Affiliated With Donald Titterington?

Donald Titterington is affiliated with the following schools:

Donald Titterington's Academic­Influence.com Rankings

Why Is Donald Titterington Influential?

Donald Titterington's Published Works

Published Works

What Schools Are Affiliated With Donald Titterington?

Donald Titterington's AcademicInfluence.com Rankings