20182019
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Data Augmentation Mathematics
Monte Carlo Markov Chain Mathematics
MCMC Algorithm Mathematics
Linear regression Mathematics
Convergence Analysis Mathematics
Markov Operator Mathematics
Markov chain Mathematics
Probit Regression Mathematics

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Research Output 2018 2019

1 Citation (Scopus)

Convergence complexity analysis of albert and chib's algorithm for Bayesian probit regression

Qin, Q. & Hobert, J. P., Jan 1 2019, In : Annals of Statistics. 47, 4, p. 2320-2347 28 p.

Research output: Contribution to journalArticle

Probit Regression
Complexity Analysis
Convergence Analysis
Monte Carlo Markov Chain
Geometric Convergence

Estimating the spectral gap of a trace-class Markov operator

Qin, Q., Hobert, J. P. & Khare, K., Jan 1 2019, In : Electronic Journal of Statistics. 13, 1, p. 1790-1822 33 p.

Research output: Contribution to journalArticle

Open Access
Trace Class Operators
Markov Operator
Spectral Gap
Largest Eigenvalue
Markov chain
1 Citation (Scopus)

Convergence Analysis of MCMC Algorithms for Bayesian Multivariate Linear Regression with Non-Gaussian Errors

Hobert, J. P., Jung, Y. J., Khare, K. & Qin, Q., Sep 1 2018, In : Scandinavian Journal of Statistics. 45, 3, p. 513-533 21 p.

Research output: Contribution to journalArticle

MCMC Algorithm
Data Augmentation
Linear regression
Convergence Analysis
Shape Parameter
2 Citations (Scopus)

Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors

Qin, Q. & Hobert, J. P., Jul 1 2018, In : Journal of Multivariate Analysis. 166, p. 335-345 11 p.

Research output: Contribution to journalArticle

Monte Carlo Markov Chain
Data Augmentation
Linear regression
Markov processes
Trace