3 citations · 4 across the 8 of their papers we have counts for
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stat.ME2023
Robust Bayesian Inference on Riemannian Submanifold
Rong Tang, Anirban Bhattacharya, Debdeep Pati +1
Manifold-valued parameters routinely arise in modern statistical applications such as in medical imaging, robotics, and computer vision, to name a few. While traditional Bayesian a…
stat.ME2023
Estimating Distributions with Low-dimensional Structures Using Mixtures of Generative Models
Rong Tang, Yun Yang
There has been a growing interest in statistical inference from data satisfying the so-called manifold hypothesis, assuming data points in the high-dimensional ambient space to lie…
stat.ME2021★ 1 cited
Statistical Inference for Bayesian Risk Minimization via Exponentially Tilted Empirical Likelihood
Rong Tang, Yun Yang
The celebrated Bernstein von-Mises theorem ensures that credible regions from Bayesian posterior are well-calibrated when the model is correctly-specified, in the frequentist sense…