World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
32417
World Ranking
8554
National Ranking
518

Overview

Walter R. Gilks is affiliated with the University of Leeds in the United Kingdom. Their research spans the fields of computer science and mathematics, with a focus on subfields such as computer vision and pattern recognition, as well as numerical analysis.

The main topics of their work include image and signal denoising methods and mathematical approximation and integration. These topics reflect a specialization in techniques and algorithms to process and analyze data with applications in image processing and computational mathematics.

Walter R. Gilks has contributed to the academic community through publications in recognized venues. Recent papers include the article titled "Wavelet Monte Carlo: a principle for sampling from complex distributions", published in 2023 in the journal Statistics and Computing.

  • Wavelet Monte Carlo: a principle for sampling from complex distributions (2023, Statistics and Computing)

Their collaborative work involved coauthorship with researchers such as Lukas Cironis and Stuart Barber, indicating engagement in joint research efforts within their field.

  • Lukas Cironis
  • Stuart Barber

Walter R. Gilks' publications have appeared in venues focused on statistical methods and computational applications, with Statistics and Computing being a noted venue for their work.

  • Statistics and Computing

Best Publications

  • Markov Chain Monte Carlo in Practice

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Weak convergence and optimal scaling of random walk Metropolis algorithms

    G. O. Roberts;A. Gelman;W. R. Gilks

  • Highly conserved non-coding sequences are associated with vertebrate development.

    Adam Woolfe;Martin Goodson;Debbie K Goode;Phil Snell

  • Following a moving target—Monte Carlo inference for dynamic Bayesian models

    Walter Richard Gilks;Carlo Berzuini

  • A Language and Program for Complex Bayesian Modelling

    W. R. Gilks;A. Thomas;D. J. Spiegelhalter

  • Introducing Markov chain Monte Carlo

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Markov Chain Monte Carlo

    Unknown

  • Inference and monitoring convergence

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Hypothesis testing and model selection

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Markov chain concepts related to sampling algorithms

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Adaptive Markov Chain Monte Carlo through Regeneration

    Walter R. Gilks;Gareth O. Roberts;Sujit K. Sahu

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

    S. Richardson;P. J. Green;C. P. Robert;M. Aitkin

  • Dynamic conditional independence models and Markov chain Monte Carlo methods

    Carlo Berzuini;Nicola G. Best;Walter R. Gilks;Cristiana Larizza

  • Strategies for improving MCMC

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Modelling Complexity: Applications of Gibbs Sampling in Medicine

    W. R. Gilks;D. G. Clayton;D. J. Spiegelhalter;N. G. Best

  • Bayesian mapping of disease

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Adaptive Direction Sampling

    W. R. Gilks;G. O. Roberts;E. I. George

  • A novel algorithm and web-based tool for comparing two alternative phylogenetic trees

    Tom M.W. Nye;Pietro Liò;Walter R. Gilks

  • Modeling the percolation of annotation errors in a database of protein sequences.

    Walter R. Gilks;Benjamin Audit;Daniela De Angelis;Sophia Tsoka

  • Mixtures of distributions: inference and estimation

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • A Bayesian Approach to Measurement Error Problems in Epidemiology Using Conditional Independence Models

    Sylvia Richardson;Walter R. Gilks

Frequent Co-Authors

Benjamin Audit
Benjamin Audit École Normale Supérieure de Lyon
Greg Elgar
Greg Elgar Genomics England
Sarah A. Teichmann
Sarah A. Teichmann University of Cambridge
M. Madan Babu
M. Madan Babu St. Jude Children's Research Hospital
Justin Stebbing
Justin Stebbing Imperial College London
Pietro Liò
Pietro Liò University of Cambridge
Patrizio Pezzotti
Patrizio Pezzotti Istituto Superiore di Sanità
Ben Lehner
Ben Lehner Wellcome Sanger Institute
David G. Clayton
David G. Clayton University of Cambridge
Judith E. Smith
Judith E. Smith University of Salford

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