Cheng Yong Tang | DeepAI

AI Chat

Featured Co-authors

Jian Yang
171 publications
Yu Chen
160 publications
Xu Han
93 publications
Yong Chen
58 publications
Jie Hu
53 publications
Yingying Fan
27 publications
Cheng Liu
23 publications
Yili Hong
21 publications
Chenlei Leng
18 publications
Ethan X. Fang
15 publications
Peter Hall
14 publications

∙ 02/23/2023

Efficiently handling constraints with Metropolis-adjusted Langevin algorithm

In this study, we investigate the performance of the Metropolis-adjusted...

0 Jinyuan Chang, et al. ∙

∙ 09/13/2021

Regression Analysis of Correlations for Correlated Data

Correlated data are ubiquitous in today's data-driven society. A fundame...

0 Jie Hu, et al. ∙

∙ 06/16/2021

Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables

Strong correlations between explanatory variables are problematic for hi...

0 Xu Han, et al. ∙

∙ 02/18/2021

Adjusting the Benjamini-Hochberg method for controlling the false discovery rate in knockoff assisted variable selection

This paper revisits the knockoff-based multiple testing setup considered...

0 Sanat K. Sarkar, et al. ∙

∙ 03/25/2020

Missing at Random or Not: A Semiparametric Testing Approach

Practical problems with missing data are common, and statistical methods...

0 Rui Duan, et al. ∙

∙ 01/23/2019

High-dimensional Interactions Detection with Sparse Principal Hessian Matrix

In statistical methods, interactions are the contributions from the prod...

0 Cheng Yong Tang, et al. ∙

∙ 12/19/2018

Optimal covariance matrix estimation for high-dimensional noise in high-frequency data

In this paper, we consider efficiently learning the structural informati...

0 Jinyuan Chang, et al. ∙

∙ 05/28/2018

High-dimensional statistical inferences with over-identification: confidence set estimation and specification test

Over-identification is a signature feature of the influential Generalize...

0 Jinyuan Chang, et al. ∙

∙ 04/25/2018

Disentangling and Assessing Uncertainties in Multiperiod Corporate Default Risk Predictions

Measuring the corporate default risk is broadly important in economics a...

0 Miao Yuan, et al. ∙

∙ 01/20/2018

A frequency domain analysis of the error distribution from noisy high-frequency data

Data observed at high sampling frequency are typically assumed to be an ...

0 Jinyuan Chang, et al. ∙

∙ 05/11/2016

Tuning parameter selection in high dimensional penalized likelihood

Determining how to appropriately select the tuning parameter is essentia...

0 Yingying Fan, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world