Julian Besag

Q: What Schools Are Affiliated With Julian Besag

Julian Besag is affiliated with the following schools: University of Liverpool, Durham University, University of Birmingham, University of Washington

Julian Besag's AcademicInfluence.com Rankings

Julian Besag

Mathematics

#2247

World Rank

#3505

Historical Rank

Statistics

#169

World Rank

#217

Historical Rank

mathematics Degrees

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Mathematics

Why Is Julian Besag Influential?

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According to Wikipedia, Julian Ernst Besag FRS was a British statistician known chiefly for his work in spatial statistics , and Bayesian inference . Early life and education Besag was born in Loughborough and was educated at Loughborough Grammar School. He began studying engineering at the University of Cambridge but moved to the University of Birmingham to study statistics, obtaining his BSc in 1968.

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Julian Besag'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

Spatial Interaction and the Statistical Analysis of Lattice Systems (1974) (6420)
On the Statistical Analysis of Dirty Pictures (1986) (4751)
Bayesian image restoration, with two applications in spatial statistics (1991) (3698)
Statistical Analysis of Non-Lattice Data (1975) (1731)
Bayesian Computation and Stochastic Systems (1995) (1052)
On conditional and intrinsic autoregressions (1995) (738)
The Detection of Clusters in Rare Diseases (1991) (678)
Spatial Statistics and Bayesian Computation (1993) (539)
Simple Monte Carlo Tests for Spatial Pattern (1977) (502)
Efficiency of pseudolikelihood estimation for simple Gaussian fields (1977) (396)
Generalized Monte Carlo significance tests (1989) (303)
Modelling risk from a disease in time and space. (1998) (299)
Nearest‐Neighbour Systems and the Auto‐Logistic Model for Binary Data (1972) (280)
Statistical Analysis of Field Experiments Using Neighbouring Plots (1986) (264)
[Bayesian Computation and Stochastic Systems]: Rejoinder (1995) (226)
Digital Image Processing: Towards Bayesian image analysis (1989) (223)
Towards Bayesian image analysis (1993) (222)
Sequential Monte Carlo p-values (1991) (197)
Bayesian analysis of agricultural field experiments (1999) (190)
Spatial statistics and Bayesian computation (with discussion) (1993) (168)
On the estimation and testing of spatial interaction in Gaussian lattice processes (1975) (165)
Markov Random Fields with Higher‐order Interactions (1998) (150)
Markov Chain Monte Carlo for Statistical Inference (2002) (100)
Point process limits of lattice processes (1982) (83)
DISCUSSION ON THE MEETING ON THE GIBBS SAMPLER AND OTHER MARKOV CHAIN-MONTE CARLO METHODS (1993) (82)
Space-time modelling of lightning-caused ignitions in the Blue Mountains, Oregon (2001) (74)
Statistical analysis of dirty pictures (1993) (65)
A candidate's formula: A curious result in Bayesian prediction (1989) (64)
On the correlation structure of some two-dimensional stationary processes (1972) (62)
First-order intrinsic autoregressions and the de Wijs process (2005) (51)
Errors‐In‐Variables Estimation for Gaussian Lattice Schemes (1977) (51)
A recursive algorithm for Markov random fields (2002) (50)
On a System of Two-dimensional Recurrence Equations (1981) (48)
Exact Goodness‐of‐Fit Tests for Markov Chains (2013) (43)
The time course of UVB and UVC erythema. (1988) (41)
What is a statistical model? Discussion (2002) (41)
Probabilistic segmentation and intensity estimation for microarray images. (2006) (30)
Spatial Statistics and Digital Image Analysis. (1994) (23)
An Introduction to Markov Chain Monte Carlo Methods (2004) (23)
On Spatial-Temporal Models and Markov Fields (1977) (22)
Discussion: Markov Chains for Exploring Posterior Distributions (1994) (21)
Markov Chain Monte Carlo Methods for Statistical Inference (2004) (19)
Inference on a collapsed margin in disease mapping. (2000) (15)
On resistant techniques and statistical analysis (1981) (15)
Bayesian reconstruction in synthetic magnetic resonance imaging (1998) (14)
Boundary reconstruction in binary images using splines (2014) (11)
Monte Carlo Goodness of Fit Tests (2005) (10)
Conditionally specified distributions: An introduction - Comments and rejoinders (2001) (9)
Simple Monte Carlo P-Values (1992) (7)
Nearest-neighbour systems: a lemma with application to Bartlett's global solutions (1972) (5)
Methods for investigating localized clustering of disease. The detection of small-area database anomalies. (1996) (5)
Discussion on the paper by Wakefield (2004) (3)
Probabilistic classification of forest structures by hierarchical modelling of the remote sensing process (1997) (2)
Discussion of Paper by Peter Mccullagh (2002) (2)
On the use of exploratory data analysis in human geography (1976) (1)
Causal and Semicausal AR Image Model Identification Using the EM Algorithm (1993) (1)
Residual analysis for spatial point processes: Discussion (2005) (1)
Newcastle upon Tyne, 20–21 May 1974 (1975) (1)
Conditional probability approach to spatial interaction (1975) (0)
Conference on Patterns and Processes in the Plane (1976) (0)
Correction (2001) (0)
Applications of markov random fields in spatial statistics (2000) (0)
MCMC in I x J x K Contingency Tables Florentina Bunea Julian Besag NRCSE (0)
Index of authors, volume 170, 2007 (2007) (0)

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What Schools Are Affiliated With Julian Besag?

Julian Besag is affiliated with the following schools: