James P. Hobert

Publication Activity (10 Years)

Years Active: 1999-2020
Publications (10 Years): 3

Top Topics

Multivariate Linear Regression

Monte Carlo Methods

Top Venues

J. Multivar. Anal.

Comput. Math. Methods

Publications

Grant Backlund, James P. Hobert
A note on the convergence rate of MCMC for robust Bayesian multivariate linear regression with proper priors. Comput. Math. Methods 2 (3) (2020)
Tavis Abrahamsen, James P. Hobert
Fast Monte Carlo Markov chains for Bayesian shrinkage models with random effects. J. Multivar. Anal. 169 (2019)
Qian Qin, James P. Hobert
Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors. J. Multivar. Anal. 166 (2018)
Hee Min Choi, James P. Hobert
Analysis of MCMC algorithms for Bayesian linear regression with Laplace errors. J. Multivar. Anal. 117 (2013)
Kshitij Khare, James P. Hobert
Geometric ergodicity of the Gibbs sampler for Bayesian quantile regression. J. Multivar. Anal. 112 (2012)
Yongsung Joo, George Casella, James P. Hobert
Bayesian model-based tight clustering for time course data. Comput. Stat. 25 (1) (2010)
Vivekananda Roy, James P. Hobert
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors. J. Multivar. Anal. 101 (5) (2010)
James P. Hobert, Christian P. Robert, D. M. Titterington
On perfect simulation for some mixtures of distributions. Stat. Comput. 9 (4) (1999)