James P. Hobert
Affiliations: | University of Florida, Gainesville, Gainesville, FL, United States |
Area:
StatisticsGoogle:
"James Hobert"Children
Sign in to add traineeDobrin Marchev | grad student | 2004 | UF Gainesville |
Vivekananda Roy | grad student | 2008 | UF Gainesville |
Aixin Tan | grad student | 2009 | UF Gainesville |
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Publications
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Davis B, Hobert JP. (2020) On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models Methodology and Computing in Applied Probability. 1-29 |
Qin Q, Hobert JP, Khare K. (2019) Estimating the spectral gap of a trace-class Markov operator Electronic Journal of Statistics. 13: 1790-1822 |
Qin Q, Hobert JP. (2019) Convergence complexity analysis of Albert and Chib’s algorithm for Bayesian probit regression The Annals of Statistics. 47: 2320-2347 |
Abrahamsen T, Hobert JP. (2019) Fast Monte Carlo Markov chains for Bayesian shrinkage models with random effects Journal of Multivariate Analysis. 169: 61-80 |
Hobert JP, Jung YJ, Khare K, et al. (2018) Convergence Analysis of MCMC Algorithms for Bayesian Multivariate Linear Regression with Non-Gaussian Errors Scandinavian Journal of Statistics. 45: 513-533 |
Qin Q, Hobert JP. (2018) Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors Journal of Multivariate Analysis. 166: 335-345 |
Abrahamsen T, Hobert JP. (2017) Convergence analysis of block Gibbs samplers for Bayesian linear mixed models with $p>N$ Bernoulli. 23: 459-478 |
Choi HM, Hobert JP. (2016) A comparison theorem for data augmentation algorithms with applications Electronic Journal of Statistics. 10: 308-329 |
Pal S, Khare K, Hobert JP. (2016) Trace Class Markov Chains for Bayesian Inference with Generalized Double Pareto Shrinkage Priors Scandinavian Journal of Statistics. 44: 307-323 |
Tan A, Doss H, Hobert JP. (2015) Honest Importance Sampling with Multiple Markov Chains. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 24: 792-826 |