J. Besag

发表

Nearest‐Neighbour Systems and the Auto‐Logistic Model for Binary Data

J. Besag, 1972 .

Spatial Interaction and the Statistical Analysis of Lattice Systems

J. Besag, 1974 .

Statistical Analysis of Non-Lattice Data

J. Besag, 1975 .

Bayesian image restoration, with two applications in spatial statistics

J. Besag, J. York, A. Mollié, 1991 .

Efficiency of pseudolikelihood estimation for simple Gaussian fields

J. Besag, 1977 .

On the estimation and testing of spatial interaction in Gaussian lattice processes

J. Besag, P. Moran, 1975 .

On Spatial-Temporal Models and Markov Fields

J. Besag, 1977 .

Discussion of Paper by Peter Mccullagh

P. McCullagh, J. Besag, 2002 .

A candidate's formula: A curious result in Bayesian prediction

J. Besag, 1989 .

On the correlation structure of some two-dimensional stationary processes

J. Besag, 1972 .

Exact Goodness‐of‐Fit Tests for Markov Chains

J. Besag, D. Mondal, 2013, Biometrics.

Statistical analysis of dirty pictures

J. Besag, 1993 .

Point process limits of lattice processes

J. Besag, S. Zachary, R. Milne, 1982, Journal of Applied Probability.

Generalized Monte Carlo significance tests

J. Besag, P. Clifford, 1989 .

On conditional and intrinsic autoregressions

J. Besag, C. Kooperberg, 1995 .

Errors‐In‐Variables Estimation for Gaussian Lattice Schemes

J. Besag, 1977 .

Sequential Monte Carlo p-values

J. Besag, P. Clifford, 1991 .

What is a statistical model? Discussion

J. Besag, 2002 .

Bayesian analysis of agricultural field experiments

J. Besag, D. Higdon, D. Higdon, 1999 .

Space-time modelling of lightning-caused ignitions in the Blue Mountains, Oregon

Sue A. Ferguson, David L. Peterson, Carlos Díaz-Avalos, 2001 .

On the Statistical Analysis of Dirty Pictures

J. Besag, 1986 .

Inference on a collapsed margin in disease mapping.

J. Besag, S. Byers, 2000, Statistics in medicine.

Discussion on the paper by Wakefield

S. Fienberg, J. Besag, C. Robert, 2004 .

On resistant techniques and statistical analysis

Julian Besag, J. Besag, 1981 .

Markov Random Fields with Higher‐order Interactions

Håkon Tjelmeland, Julian Besag, J. Besag, 1998 .

Bayesian Computation and Stochastic Systems

J. Besag, P. Green, D. Higdon, 1995 .

Spatial Statistics and Bayesian Computation

J. Besag, P. Green, 1993 .

Causal and Semicausal AR Image Model Identification Using the EM Algorithm

J. Besag, 1993 .

Spatial statistics and Bayesian computation (with discussion)

Peter Green, Julian Besag, J. Besag, 1993 .

[Bayesian Computation and Stochastic Systems]: Rejoinder

Kerrie Mengersen, Peter Green, David Higdon, 1995 .

Discussion: Markov Chains for Exploring Posterior Distributions

Julian Besag, J. Besag, 1994 .

The Detection of Clusters in Rare Diseases

Julian Besag, James Newell, J. Besag, 1991 .

Nearest-neighbour systems: a lemma with application to Bartlett's global solutions

J. Besag, 1972, Journal of Applied Probability.

The time course of UVB and UVC erythema.

J. Besag, B. Diffey, P. Farr, 1988, The Journal of investigative dermatology.

DISCUSSION ON THE MEETING ON THE GIBBS SAMPLER AND OTHER MARKOV CHAIN-MONTE CARLO METHODS

J Besag, Christopher Jennison, Dm Titterington, 1993 .

Markov Chain Monte Carlo for Statistical Inference

Julian Besag, J. Besag, 2002 .

Modelling risk from a disease in time and space.

L Knorr-Held, J Besag, J. Besag, 1998, Statistics in medicine.

Statistical Analysis of Field Experiments Using Neighbouring Plots

Julian Besag, Rob A. Kempton, J. Besag, 1986 .

Probabilistic segmentation and intensity estimation for microarray images.

J. Besag, M. Stephens, R. Gottardo, 2006, Biostatistics.

An Introduction to Markov Chain Monte Carlo Methods

Julian Besag, J. Besag, 2004 .

MCMC in I x J x K Contingency Tables Florentina Bunea Julian Besag NRCSE

J. Besag, F. Bunea, 2022 .

Simple Monte Carlo Tests for Spatial Pattern

Peter J. Diggle, Julian Besag, J. Besag, 1977 .

Monte Carlo Goodness of Fit Tests

J. Besag, 2005 .

Markov Chain Monte Carlo Methods for Statistical Inference

Julian Besag, J. Besag, 2004 .

Simple Monte Carlo P-Values

Julian Besag, J. Besag, 1992 .

Towards Bayesian image analysis

Julian Besag, J. Besag, 1993 .

Digital Image Processing: Towards Bayesian image analysis

Julian Besag, J. Besag, 1989 .

Boundary reconstruction in binary images using splines

Larissa Stanberry, Julian Besag, J. Besag, 2014, Pattern Recognit..

Index of authors, volume 170, 2007

D. Hunter, S. Fienberg, J. Besag, 2007 .

A recursive algorithm for Markov random fields

Francesco Bartolucci, Julian Besag, J. Besag, 2002 .

Bayesian reconstruction in synthetic magnetic resonance imaging

Ranjan Maitra, Julian Besag, J. Besag, 1998, Optics & Photonics.

On a System of Two-dimensional Recurrence Equations

Julian Besag, J. Besag, 1981 .

Statistical Analysis of Spatial Point Patterns by Means of Distance Methods

J. Besag, P. Diggle, Julian Besagi, 1976 .

On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

J. Besag, P. Green, S. Richardson, 1997 .

Probabilistic classification of forest structures by hierarchical modelling of the remote sensing process

Julian Besag, W.-H. Li, Jeffrey L. Moffett, 1997, Optics & Photonics.

First-order intrinsic autoregressions and the de Wijs process

Debashis Mondal, Julian Besag, J. Besag, 2005 .