Stephen G. Walker

Orcid: 0000-0002-0497-238X

According to our database1, Stephen G. Walker authored at least 43 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reversed particle filtering for hidden markov models.
Stat. Comput., June, 2024

Full uncertainty analysis for Bayesian nonparametric mixture models.
Comput. Stat. Data Anal., January, 2024

2023
Latent uniform samplers on multivariate binary spaces.
Stat. Comput., October, 2023

On the estimation of partially observed continuous-time Markov chains.
Comput. Stat., September, 2023

A latent slice sampling algorithm.
Comput. Stat. Data Anal., 2023

Mixture models with decreasing weights.
Comput. Stat. Data Anal., 2023

2022
Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities.
Stat. Comput., 2022

An objective Bayes factor with improper priors.
Comput. Stat. Data Anal., 2022

2021
An Objective Prior from a Scoring Rule.
Entropy, 2021

Copula Particle Filters.
Comput. Stat. Data Anal., 2021

Statistical Analysis from the Fourier Integral Theorem.
CoRR, 2021

A Reinforcement Learning Based Approach to Play Calling in Football.
CoRR, 2021

2019
On an algorithm for solving Fredholm integrals of the first kind.
Stat. Comput., 2019

Modal posterior clustering motivated by Hopfield's network.
Comput. Stat. Data Anal., 2019

2018
A Definition of Conditional Probability with Non-Stochastic Information.
Entropy, 2018

Dependent mixtures of geometric weights priors.
Comput. Stat. Data Anal., 2018

Testing to distinguish measures on metric spaces.
CoRR, 2018

2017
A Laplace transform inversion method for probability distribution functions.
Stat. Comput., 2017

An iterative algorithm for solving sparse linear equations.
Commun. Stat. Simul. Comput., 2017

Bayesian nonparametric density estimation under length bias.
Commun. Stat. Simul. Comput., 2017

An optimal data ordering scheme for Dirichlet process mixture models.
Comput. Stat. Data Anal., 2017

2016
Random density functions with common atoms and pairwise dependence.
Comput. Stat. Data Anal., 2016

2015
Bayesian Information for Sensors.
Qual. Reliab. Eng. Int., 2015

2014
Sampling Unnormalized Probabilities: An Alternative to the Metropolis-Hastings Algorithm.
SIAM J. Sci. Comput., 2014

On a Lower Bound for the Jensen Inequality.
SIAM J. Math. Anal., 2014

Univariate Bayesian nonparametric mixture modeling with unimodal kernels.
Stat. Comput., 2014

On the Bingham distribution with large dimension.
J. Multivar. Anal., 2014

Computing Marginal Likelihoods via Posterior Sampling.
Commun. Stat. Simul. Comput., 2014

Special issue on Bayesian computing, methods and applications.
Comput. Stat. Data Anal., 2014

2013
On adaptive Metropolis-Hastings methods.
Stat. Comput., 2013

2012
Bayesian nonparametric mixed random utility models.
Comput. Stat. Data Anal., 2012

2011
Automatic Metro Map Layout Using Multicriteria Optimization.
IEEE Trans. Vis. Comput. Graph., 2011

Slice sampling mixture models.
Stat. Comput., 2011

Posterior Sampling When the Normalizing Constant is Unknown.
Commun. Stat. Simul. Comput., 2011

Dependent mixtures of Dirichlet processes.
Comput. Stat. Data Anal., 2011

2010
A New Bayesian Nonparametric Mixture Model.
Commun. Stat. Simul. Comput., 2010

A Probability for Classification Based on the Dirichlet Process Mixture Model.
J. Classif., 2010

2009
On the Fisher-Bingham distribution.
Stat. Comput., 2009

A Bayesian nonparametric study of a dynamic nonlinear model.
Comput. Stat. Data Anal., 2009

2007
Sampling the Dirichlet Mixture Model with Slices.
Commun. Stat. Simul. Comput., 2007

A Bayesian semi-parametric bivariate failure time model.
Comput. Stat. Data Anal., 2007

2006
Sampling from compositional and directional distributions.
Stat. Comput., 2006

2003
On Recent Cheeger-Type Bounds for Nonmaximal Eigenvalues Applied to Positive Matrices.
SIAM J. Matrix Anal. Appl., 2003


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