147 citations · 460 across the 31 of their papers we have counts for
11 papers · 1 filter
Selective and marginal selective inference for exceptional groups
Peter Hoff, Surya Tokdar
Statistical analyses of multipopulation studies often use the data to select a particular population as the target of inference. For example, a confidence interval may be construct…
Asymptotically well-calibrated Bayesian -value using the Kolmogorov-Smirnov statistic
Yueming Shen, Surya Tokdar
The posterior predictive -value (ppp) is widely used in Bayesian model evaluation. However, due to double use of the data, the ppp may not be a valid -value even in large sam…
Consistent Bayesian Community Detection
Sheng Jiang, Surya Tokdar
Stochastic Block Models (SBMs) are a fundamental tool for community detection in network analysis. But little theoretical work exists on the statistical performance of Bayesian SBM…
Variable Selection Consistency of Gaussian Process Regression
Sheng Jiang, Surya T. Tokdar
Bayesian nonparametric regression under a rescaled Gaussian process prior offers smoothness-adaptive function estimation with near minimax-optimal error rates. Hierarchical extensi…
Minimax-optimal nonparametric regression in high dimensions
Yun Yang, Surya T. Tokdar
Minimax risks for high-dimensional nonparametric regression are derived under two sparsity assumptions: (1) the true regression surface is a sparse function that depends only…
Dimension adaptability of Gaussian process models with variable selection and projection
Surya T. Tokdar
It is now known that an extended Gaussian process model equipped with rescaling can adapt to different smoothness levels of a function valued parameter in many nonparametric Bayesi…