147 citations · 460 across the 31 of their papers we have counts for
32 papers
Covariate-localized False Discovery Rates
Jonathan Lin, Surya Tokdar
We introduce a flexible model for covariate-dependent multiple testing which can be encoded using a nonparametric Gaussian mixture model. Weight-localized predictive recursion (PRx…
Fast Semiparametric Density Regression with Weight-localized Predictive Recursion
Jonathan Lin, Surya Tokdar
Predictive recursion (PR) is a fast algorithm for nonparametric estimation of a mixing density, with connections to sequential Bayesian updating under a Dirichlet process prior and…
Adaptive Generalized Elliptical Slice Sampling
Nicholas Marco, Surya T. Tokdar
A central challenge in gradient-free MCMC is designing algorithms that simultaneously bypass manual tuning, scale efficiently with dimension, and adapt to local target geometry. Wh…
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…
Density Discontinuity Regression
Surya T Tokdar, Rik Sen, Haoliang Zheng +1
Many policies hinge on a continuous variable exceeding a threshold, prompting strategic behavior by agents to stay on the favorable side. This creates density discontinuities at cu…
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…