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20172020
most citedAdaptive posterior convergence rates in non-linear latent variable models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

math.ST2020

Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference

Sean Plummer, Shuang Zhou, Anirban Bhattacharya +2

Transformation-based methods have been an attractive approach in non-parametric inference for problems such as unconditional and conditional density estimation due to their unique…

math.ST2020

Mass-shifting phenomenon of truncated multivariate normal priors

Shuang Zhou, Pallavi Ray, Debdeep Pati +1

We show that lower-dimensional marginal densities of dependent zero-mean normal distributions truncated to the positive orthant exhibit a mass-shifting phenomenon. Despite the trun…

nucl-th2018

Revisiting the proton-radius problem using constrained Gaussian processes

Shuang Zhou, P. Giuliani, J. Piekarewicz +2

Background: The "proton radius puzzle" refers to an eight-year old problem that highlights major inconsistencies in the extraction of the charge radius of the proton from muonic La…

q-fin.PR2018

A New Nonparametric Estimate of the Risk-Neutral Density with Applications to Variance Swaps

Liyuan Jiang, Shuang Zhou, Keren Li +2

We develop a new nonparametric approach for estimating the risk-neutral density of asset prices and reformulate its estimation into a double-constrained optimization problem. We ev…

math.ST20171 cited

Adaptive posterior convergence rates in non-linear latent variable models

Shuang Zhou, Debdeep Pati, Anirban Bhattacharya +1

Non-linear latent variable models have become increasingly popular in a variety of applications. However, there has been little study on theoretical properties of these models. In…