World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
42
Citations
10379
World Ranking
1757
National Ranking
752

Engineering and Technology

D-Index
38
Citations
9356
World Ranking
7898
National Ranking
2162

Overview

Stephen G. Walker is affiliated with The University of Texas at Austin in the United States. Their research spans fields including Computer Science and Mathematics, with a notable focus on Artificial Intelligence, Statistics and Probability, Astronomy and Astrophysics, Applied Mathematics, and Management Science and Operations Research.

The primary topics covered in their work include Bayesian Methods and Mixture Models, Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Markov Chains and Monte Carlo Methods, Statistical Distribution Estimation and Applications, Galaxies: Formation, Evolution, Phenomena, and Multi-Criteria Decision Making.

Frequent collaboration has been noted with researchers such as Chris Holmes, Cristiano Villa, Fuheng Cui, Minwoo Chae, and Alfred Kume.

Stephen G. Walker has published extensively in various academic venues, with the most frequent publication venues being:

  • arXiv (Cornell University)
  • Statistics & Probability Letters
  • Computational Statistics & Data Analysis
  • Electronic Journal of Statistics
  • Statistics and Computing

Recent papers by Stephen G. Walker include:

  • Martingale posterior distributions, 2023, Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Wasserstein upper bounds of the total variation for smooth densities, 2020, Statistics & Probability Letters
  • The utility of clusters and a Hungarian clustering algorithm, 2021, PLoS ONE
  • Soft X-ray emission from warm gas in IllustrisTNG circum-cluster environments, 2023, Astronomy and Astrophysics
  • A latent slice sampling algorithm, 2022, Computational Statistics & Data Analysis

Best Publications

  • Invited comment on the paper "Slice Sampling" by Radford Neal

    Stephen G. Walker

  • Sampling the Dirichlet Mixture Model with Slices

    Stephen G. Walker

  • Gibbs sampling for Bayesian non‐conjugate and hierarchical models by using auxiliary variables

    Paul Damien;Jon Wakefield;Stephen G Walker

  • A general framework for updating belief distributions.

    Pier Giovanni Bissiri;Chris Holmes;Stephen Walker

  • Slice sampling mixture models

    Maria Kalli;Jim E. Griffin;Stephen G. Walker

  • Bayesian Nonparametric Inference for Random Distributions and Related Functions

    Unknown

  • New approaches to Bayesian consistency

    Stephen G. Walker

  • Bayesian Nonparametrics: Subject index

    Nils Lid Hjort;Chris Holmes;Peter Müller;Stephen G. Walker

  • Bayesian Nonparametrics: List of contributors

    Nils Lid Hjort;Chris Holmes;Peter Müller;Stephen G. Walker

  • Beta-Stacy processes and a generalization of the Pólya-urn scheme

    Stephen Walker;Pietro Muliere

  • A Bayesian semiparametric accelerated failure time model.

    Stephen G Walker;Bani K. Mallick

  • An improved method for estimating individual growth variability in fish, and the correlation between von Bertalanffy growth parameters

    Graham M Pilling;Geoffrey P Kirkwood;Stephen G Walker

  • Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing

    Stephen G. Walker;Bani K. Mallick

  • Empirical Bayes posterior concentration in sparse high-dimensional linear models

    Ryan Martin;Raymond Mess;Stephen G. Walker

  • On Bayesian consistency

    Stephen G. Walker;Nils Lid Hjort

  • Sampling Truncated Normal, Beta, and Gamma Densities

    Paul Damien;Stephen G Walker

  • Automatic Metro Map Layout Using Multicriteria Optimization

    J Stott;P Rodgers;Juan Carlos Martínez-Ovando;S G Walker

  • A Bayesian approach to non-parametric monotone function estimation

    Thomas S. Shively;Thomas W. Sager;Stephen G. Walker

  • General Bayesian updating and the loss-likelihood bootstrap

    Simon Lyddon;Chris Holmes;Stephen Walker

  • Label Switching in Bayesian Mixture Models: Deterministic Relabeling Strategies

    Carlos E. Rodríguez;Stephen G. Walker

  • Assigning a value to a power likelihood in a general Bayesian model

    C. C. Holmes;S. G. Walker

Frequent Co-Authors

Nils Lid Hjort
Nils Lid Hjort University of Oslo
Marcin T. Kacperczyk
Marcin T. Kacperczyk Imperial College London
Mingyuan Zhou
Mingyuan Zhou The University of Texas at Austin
Chris Chatfield
Chris Chatfield University of Bath
Concha Bielza
Concha Bielza Technical University of Madrid
Pedro Larrañaga
Pedro Larrañaga Technical University of Madrid
Larry Wasserman
Larry Wasserman Carnegie Mellon University
David B. Dunson
David B. Dunson Duke University
Bani K. Mallick
Bani K. Mallick Texas A&M University
Zhaohui S. Qin
Zhaohui S. Qin Emory University

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