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Mathematics

D-Index
61
Citations
16822
World Ranking
510
National Ranking
269

Research.com Recognitions

  • 1999 - Fellow of the American Statistical Association (ASA)

Overview

Zhiliang Ying is affiliated with Columbia University in the United States and has an extensive body of research primarily in computer science and mathematics, with a strong emphasis on statistical methods. Their work spans various subfields, notably statistics and probability, artificial intelligence, management science and operations research, statistical and nonlinear physics, and computer networks and communications.

The main research topics addressed by Ying include psychometric methodologies and testing, statistical methods and inference, statistical methods and Bayesian inference, advanced statistical modeling techniques, advanced causal inference techniques, intelligent tutoring systems and adaptive learning, and advanced statistical methods and models.

Zhiliang Ying has published numerous papers in prominent journals and venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Psychometrika
  • British Journal of Mathematical and Statistical Psychology
  • Statistica Sinica
  • Statistical Science

Some recent papers authored or co-authored by Ying are:

  • Latent Feature Extraction for Process Data via Multidimensional Scaling, 2020, Psychometrika
  • An exploratory analysis of the latent structure of process data via action sequence autoencoders, 2020, British Journal of Mathematical and Statistical Psychology
  • Accurate Assessment via Process Data, 2022, Psychometrika
  • A latent topic model with Markov transition for process data, 2020, British Journal of Mathematical and Statistical Psychology
  • Item Response Theory -- A Statistical Framework for Educational and Psychological Measurement, 2021, arXiv (Cornell University)

Zhiliang Ying has collaborated frequently with several coauthors. The most frequent among them are:

  • Jingchen Liu
  • Susu Zhang
  • Xueying Tang
  • Guanhua Fang
  • Xin Xu

In recognition of contributions to the field, Ying was named a Fellow of the American Statistical Association (ASA) in 1999.

Best Publications

  • Checking the Cox model with cumulative sums of martingale-based residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • Semiparametric regression for the mean and rate functions of recurrent events

    D. Y. Lin;L. J. Wei;I. Yang;Z. Ying

  • Semiparametric analysis of the additive risk model

    D. Y. Lin;Zhiliang Ying

  • Analysis of transformation models with censored data

    S. C. Cheng;L. J. Wei;Z. Ying

  • A Global Information Approach to Computerized Adaptive Testing

    Hua Hua Chang;Zhiliang Ying

  • Rank-based inference for the accelerated failure time model

    Zhezhen Jin;D. Y. Lin;L. J. Wei;Zhiliang Ying

  • a-Stratified Multistage Computerized Adaptive Testing

    Hua Hua Chang;Zhiliang Ying

  • Survival analysis with median regression models

    Z. Ying;S. H. Jung;L. J. Wei

  • Semiparametric analysis of transformation models with censored data

    Kani Chen;Zhezhen Jin;Zhiliang Ying

  • A Large Sample Study of Rank Estimation for Censored Regression Data

    Zhiliang Ying

  • A resampling method based on pivotal estimating functions

    M. I. Parzen;L. J. Wei;Z. Ying

  • Semiparametric and Nonparametric Regression Analysis of Longitudinal Data

    D. Y Lin;Z Ying

  • Cox Regression with Incomplete Covariate Measurements

    Danyu Lin;Z. Ying

  • Model‐Checking Techniques Based on Cumulative Residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • Linear regression analysis of censored survival data based on rank tests

    L. J. Wei;Z. Ying;Danyu Lin

  • A simple resampling method by perturbing the minimand

    Zhezhen Jin;Zhiliang Ying;L. J. Wei

  • Large Sample Theory of a Modified Buckley-James Estimator for Regression Analysis with Censored Data

    Tze Leung Lai;Zhiliang Ying

  • Nonparametric estimation of the gap time distributions for serial events with censored data

    D. Y. Lin;W. Sun;Zhiliang Ying

  • Additive hazards regression with current status data

    Danyu Lin;David Oakes;Zhiliang Ying

  • Estimating a distribution function with truncated and censored data

    Tze Leung Lai;Zhiliang Ying

  • On least-squares regression with censored data

    Zhezhen Jin;D. Y. Lin;Zhiliang Ying

Frequent Co-Authors

Danyu Lin
Danyu Lin University of North Carolina at Chapel Hill
Lee-Jen Wei
Lee-Jen Wei Harvard University
Tze Leung Lai
Tze Leung Lai Stanford University
Steven B. Heymsfield
Steven B. Heymsfield Pennington Biomedical Research Center
David M. Goldenberg
David M. Goldenberg Immunomedics (United States)
Robert M. Sharkey
Robert M. Sharkey University of Fukui
Cun-Hui Zhang
Cun-Hui Zhang Rutgers, The State University of New Jersey
Xi Chen
Xi Chen Columbia University
Jurg Ott
Jurg Ott Rockefeller University
Ivan D. Horak
Ivan D. Horak Freie Universität Berlin

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