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Subhashis Ghosal
Subhashis Ghosal
Verified email at stat.ncsu.edu
Title
Cited by
Cited by
Year
Convergence rates of posterior distributions
S Ghosal, JK Ghosh, AW Van Der Vaart
Annals of Statistics, 500-531, 2000
9222000
Fundamentals of nonparametric Bayesian inference
S Ghosal, AW van der Vaart
Cambridge University Press, 2017
8382017
Posterior consistency of Dirichlet mixtures in density estimation
S Ghosal, JK Ghosh, RV Ramamoorthi
The Annals of Statistics 27 (1), 143-158, 1999
4641999
Convergence rates of posterior distributions for noniid observations
S Ghosal, A Van Der Vaart
4472007
Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities
S Ghosal, AW Van Der Vaart
The Annals of Statistics 29 (5), 1233-1263, 2001
3812001
Posterior convergence rates of Dirichlet mixtures at smooth densities
S Ghosal, A Van Der Vaart
2532007
Posterior consistency of Gaussian process prior for nonparametric binary regression
S Ghosal, A Roy
1982006
Testing monotonicity of regression
S Ghosal, A Sen, AW Van Der Vaart
Annals of statistics, 1054-1082, 2000
1972000
Adaptive Bayesian multivariate density estimation with Dirichlet mixtures
W Shen, ST Tokdar, S Ghosal
Biometrika 100 (3), 623-640, 2013
1782013
Convergence rates for density estimation with Bernstein polynomials
S Ghosal
The Annals of Statistics 29 (5), 1264-1280, 2001
1712001
The Dirichlet process, related priors and posterior asymptotics
S Ghosal
Bayesian nonparametrics 28, 35, 2010
1602010
Bayesian estimation of the spectral density of a time series
N Choudhuri, S Ghosal, A Roy
Journal of the American Statistical Association 99 (468), 1050-1059, 2004
1602004
Extensions of the strong law of large numbers of Marcinkiewicz and Zygmund for dependent variables
TK Chandra, S Ghosal
Acta Mathematica Hungarica 71, 327-336, 1996
1331996
Kullback Leibler property of kernel mixture priors in Bayesian density estimation
Y Wu, S Ghosal
1182008
Bayesian structure learning in graphical models
S Banerjee, S Ghosal
Journal of Multivariate Analysis 136, 147-162, 2015
1172015
Nonparametric Bayesian model selection and averaging
S Ghosal, J Lember, A Van Der Vaart
1102008
On convergence of posterior distributions
S Ghosal, JK Ghosh, T Samanta
The Annals of Statistics 23 (6), 2145-2152, 1995
1051995
Adaptive Bayesian inference on the mean of an infinite-dimensional normal distribution
E Belitser, S Ghosal
The Annals of Statistics 31 (2), 536-559, 2003
1042003
Asymptotic normality of posterior distributions in high-dimensional linear models
S Ghosal
1021999
Adaptive Bayesian procedures using random series priors
W Shen, S Ghosal
Scandinavian Journal of Statistics 42 (4), 1194-1213, 2015
982015
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