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The semi-parametric Bernstein-von Mises theorem for regression models
  with symmetric errors
v1v2 (latest)

The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors

Statistica sinica (SS), 2016
15 July 2016
Minwoo Chae
Yongdai Kim
B. Kleijn
ArXiv (abs)PDFHTML

Papers citing "The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors"

5 / 5 papers shown
Parametrization, Prior Independence, and the Semiparametric
  Bernstein-von Mises Theorem for the Partially Linear Model
Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model
C. D. Walker
393
1
0
06 Jun 2023
Imputation Maximization Stochastic Approximation with Application to
  Generalized Linear Mixed Models
Imputation Maximization Stochastic Approximation with Application to Generalized Linear Mixed Models
Zexi Song
Z. Tan
62
0
0
25 Jan 2022
Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian
  Errors
Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian ErrorsJournal of the Korean Statistical Society (JKSS), 2020
Kyoungjae Lee
Minwoo Chae
Lizhen Lin
273
1
0
30 Aug 2020
Posterior asymptotics in Wasserstein metrics on the real line
Posterior asymptotics in Wasserstein metrics on the real lineElectronic Journal of Statistics (EJS), 2020
Minwoo Chae
P. De Blasi
S. Walker
288
7
0
12 Mar 2020
Bayesian Sparse Linear Regression with Unknown Symmetric Error
Bayesian Sparse Linear Regression with Unknown Symmetric Error
Minwoo Chae
Lizhen Lin
David B. Dunson
395
17
0
06 Aug 2016
1
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