8 papers
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…
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…
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…
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…
Modeling Neural Switching via Drift-Diffusion Models
Nicholas Marco, Jennifer M. Groh, Surya T. Tokdar
Neural encoding is a field in neuroscience that focuses on characterizing how information from stimuli is encoded in the spiking activity of neurons. When more than one stimulus is…