Liuhua Peng

Measuring, Testing, and Identifying Heterogeneity of Large Parallel Datasets

Liuhua Peng, Guanghui Wang, Changliang Zou

Journal article  |  2024  |  Statistica Sinica

Weighted bootstrap for two-sample U-statistics

B Huang, Y Liu, L Peng

Journal article  |  2023  |  Journal of Statistical Planning and Inference

In this paper, we introduce weighted bootstrap algorithms for both non-degenerate and degenerate two-sample U-statistics with arbi..

Distributed inference for two-sample U-statistics in massive data analysis

Bingyao Huang, Yanyan Liu, Liuhua Peng

Journal article  |  2022  |  SCANDINAVIAN JOURNAL OF STATISTICS

This paper considers distributed inference for two-sample U-statistics under the massive data setting. In order to reduce the comp..

Bootstrap inference for the finite population mean under complex sampling designs

Z Wang, L Peng, JK Kim

Journal article  |  2022  |  Journal of the Royal Statistical Society. Series B: Statistical Methodology

Bootstrap is a useful computational tool for statistical inference, but it may lead to erroneous analysis under complex survey sam..

SIMULTANEOUS CONFIDENCE BANDS FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL

Shuo Li, Liuhua Peng, Xiaojun Song

Journal article  |  2022  |  ECONOMETRIC THEORY

Conditional value-at-risk (CVaR) and conditional expected shortfall (CES) are widely adopted risk measures which help monitor pote..

Beta Mixture Model for the Uncertainties in Robotic Haptic Object Identification

Yu Xia, Alireza Mohammadi, Liuhua Peng, Ying Tan, Bernard Chen, Peter Choong, Denny Oetomo

Journal article  |  2022  |  IEEE-ASME TRANSACTIONS ON MECHATRONICS

Robotic haptic object identification is the pro cess to identify objects out of a given object set using a robotic hand equipped w..

Nonparametric feature selection by random forests and deep neural networks

X Mao, L Peng, Z Wang

Journal article  |  2022  |  Computational Statistics and Data Analysis

Random forests are a widely used machine learning algorithm, but their computational efficiency is undermined when applied to larg..

Testing independence between exogenous variables and unobserved errors

Shuo Li, Liuhua Peng, Yundong Tu

Journal article  |  2022  |  ECONOMETRIC REVIEWS

Although the exogeneity condition is usually used in many econometric models to identify parameters, the stronger restriction that..

Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression

Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard Bondell, Mingming Gong

Book Chapter  |  2022  |  Lecture Notes in Computer Science

Monocular Depth Estimation (MDE) is a task to predict a dense depth map from a single image. Despite the recent progress brought b..

Gaussian approximations for high-dimensional non-degenerate U-statistics via exchangeable pairs

Guanghui Cheng, Zhi Liu, Liuhua Peng

Journal article  |  2021  |  STATISTICS & PROBABILITY LETTERS

In this paper, we obtain a non-asymptotic bound for Gaussian approximations for centered high-dimensional non-degenerate U-statist..