| Convergence rates of posterior distributions S Ghosal, JK Ghosh, AW Van Der Vaart Annals of Statistics, 500-531, 2000 | 965 | 2000 |
| Fundamentals of nonparametric Bayesian inference S Ghosal, AW Van der Vaart Cambridge University Press, 2017 | 959 | 2017 |
| Convergence rates of posterior distributions for noniid observations S Ghosal, A Van Der Vaart | 479 | 2007 |
| Posterior consistency of Dirichlet mixtures in density estimation S Ghosal, JK Ghosh, RV Ramamoorthi The Annals of Statistics 27 (1), 143-158, 1999 | 477 | 1999 |
| Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities S Ghosal, AW Van Der Vaart Annals of Statistics, 1233-1263, 2001 | 394 | 2001 |
| Posterior convergence rates of Dirichlet mixtures at smooth densities S Ghosal, A Van Der Vaart | 269 | 2007 |
| Posterior consistency of Gaussian process prior for nonparametric binary regression S Ghosal, A Roy | 207 | 2006 |
| Testing monotonicity of regression S Ghosal, A Sen, AW Van Der Vaart Annals of statistics, 1054-1082, 2000 | 205 | 2000 |
| Adaptive Bayesian multivariate density estimation with Dirichlet mixtures W Shen, ST Tokdar, S Ghosal Biometrika 100 (3), 623-640, 2013 | 190 | 2013 |
| Convergence rates for density estimation with Bernstein polynomials S Ghosal The Annals of Statistics 29 (5), 1264-1280, 2001 | 174 | 2001 |
| The Dirichlet process, related priors and posterior asymptotics S Ghosal Bayesian nonparametrics 28, 35, 2010 | 164 | 2010 |
| 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 | 160 | 2004 |
| 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 | 130 | 1996 |
| Bayesian structure learning in graphical models S Banerjee, S Ghosal Journal of Multivariate Analysis 136, 147-162, 2015 | 125 | 2015 |
| Kullback Leibler property of kernel mixture priors in Bayesian density estimation Y Wu, S Ghosal | 124 | 2008 |
| On convergence of posterior distributions S Ghosal, JK Ghosh, T Samanta The Annals of Statistics 23 (6), 2145-2152, 1995 | 111 | 1995 |
| Nonparametric Bayesian model selection and averaging S Ghosal, J Lember, A Van Der Vaart | 109 | 2008 |
| Adaptive Bayesian inference on the mean of an infinite-dimensional normal distribution E Belitser, S Ghosal Annals of Statistics, 536-559, 2003 | 106 | 2003 |
| Asymptotic normality of posterior distributions in high-dimensional linear models S Ghosal | 105 | 1999 |
| Adaptive Bayesian procedures using random series priors W Shen, S Ghosal Scandinavian Journal of Statistics 42 (4), 1194-1213, 2015 | 96 | 2015 |
