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Changliang Zou

Changliang Zou

D-Index & Metrics

Mathematics

D-Index
40
Citations
5825
World Ranking
2080
National Ranking
111

Overview

Changliang Zou is affiliated with Nankai University in China and has contributed extensively to the field of mathematics, with a particular focus on statistics and probability. Their publications span multiple subfields including statistical methods, artificial intelligence, and operations research.

Their research addresses a variety of topics, including:

  • Statistical Methods and Inference
  • Statistical Methods in Clinical Trials
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Advanced Statistical Process Monitoring
  • Bayesian Methods and Mixture Models
  • Optimal Experimental Design Methods

Changliang Zou has published frequently in several academic journals and platforms. The primary publication venues include:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • Statistical Analysis and Data Mining The ASA Data Science Journal
  • Statistica Sinica
  • Stat

Notable recent papers authored or co-authored by Changliang Zou include:

  • "Consistent selection of the number of change-points via sample-splitting," 2020, The Annals of Statistics

In collaboration with other researchers, they have also contributed to work published in the Journal of the American Statistical Association, such as:

  • "False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation," 2021
  • "Threshold Selection in Feature Screening for Error Rate Control," 2021
  • "Large-Scale Datastreams Surveillance via Pattern-Oriented-Sampling," 2020

Additional contributions include:

  • "Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis," 2022, Biometrics

Frequent collaborators of Changliang Zou encompass a range of researchers, reflecting a diverse set of partnerships within the field. These include:

  • Haojie Ren
  • Guanghui Wang
  • Xu Guo
  • Runze Li
  • Bertrand Clarke

Their multidisciplinary co-authorship highlights engagement with various aspects of both theoretical and applied statistics, artificial intelligence, and systems engineering.

Best Publications

  • Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes

    Changliang Zou;Fugee Tsung;Zhaojun Wang

  • CONTROL CHART BASED ON CHANGE-POINT MODEL FOR MONITORING LINEAR PROFILES

    C Zou;Y Zhang

  • Nonparametric profile monitoring by mixed effects modeling

    Peihua Qiu;Changliang Zou;Zhaojun Wang

  • Multivariate Statistical Process Control Using LASSO

    Changliang Zou;Peihua Qiu

  • A Multivariate Sign EWMA Control Chart.

    Changliang Zou;Fugee Tsung

  • Monitoring Profiles Based on Nonparametric Regression Methods

    Changliang Zou;Fugee Tsung;Zhaojun Wang

  • Likelihood ratio based distribution free EWMA control charts

    Changliang Zou;Fugee Tsung

  • Nonparametric maximum likelihood approach to multiple change-point problems

    Changliang Zou;Guosheng Yin;Long Feng;Zhaojun Wang

  • Coordinate-independent sparse sufficient dimension reduction and variable selection

    Xin Chen;Changliang Zou;R. Dennis Cook

  • A self-starting control chart for linear profiles

    Changliang Zou;Chunguang Zhou;Zhaojun Wang;Fugee Tsung

  • Nonparametric control chart based on change-point model

    Chunguang Zhou;Changliang Zou;Yujuan Zhang;Zhaojun Wang

  • A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis

    Kamran Paynabar;Changliang Zou;Peihua Qiu

  • LASSO-based multivariate linear profile monitoring

    Changliang Zou;Xianghui Ning;Fugee Tsung

  • A LASSO-Based Diagnostic Framework for Multivariate Statistical Process Control

    Changliang Zou;Wei Jiang;Fugee Tsung

  • A spatial rank‐based multivariate EWMA control chart

    Changliang Zou;Zhaojun Wang;Fugee Tsung

  • An Efficient Online Monitoring Method for High-Dimensional Data Streams

    Changliang Zou;Zhaojun Wang;Xuemin Zi;Wei Jiang

  • Likelihood-based EWMA charts for monitoring Poisson count data with time-varying sample sizes

    Qin Zhou;Changliang Zou;Zhaojun Wang;Wei Jiang

  • Directional MEWMA Schemes for Multistage Process Monitoring and Diagnosis

    Changliang Zou;Fugee Tsung

  • The computation of average run length and average time to signal: an overview

    Zhonghua Li;Changliang Zou;Zhen Gong;Zhaojun Wang

  • Outlier detection for high-dimensional data

    Kwangil Ro;Changliang Zou;Zhaojun Wang;Guosheng Yin

  • A self-starting control chart for linear profiles

    Changliang Zou;Chunguang Zhou;Zhaojun Wang

Frequent Co-Authors

Zhaojun Wang
Zhaojun Wang Nankai University
Fugee Tsung
Fugee Tsung Hong Kong University of Science and Technology
Peihua Qiu
Peihua Qiu University of Florida
Guosheng Yin
Guosheng Yin University of Hong Kong
Lixing Zhu
Lixing Zhu Beijing Normal University
R. Dennis Cook
R. Dennis Cook University of Minnesota
Runze Li
Runze Li Pennsylvania State University
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
William H. Woodall
William H. Woodall Virginia Tech

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