Colloquium - Zhiliang Ying
Institution: Columbia University
Title: Statistical Modeling and Analysis of Process Data
Date: April 20, 2023
Location: C405 Wells Hall, Simulcast to Zoom (Click here for meeting details)
Time: 10:20 AM - 11:10 AM Eastern Time
Abstract:
Measurement theory has played a foundational role in educational assessment. Classical
item response theory models are widely used for analysis of results from tests involving
multiple choice questions. The emergence of complex problem solving items and related
process data in recent years calls for new statistical models and machine learning
tools. This talk discusses some recent developments of statistical models, theory
and machine learning algorithms for process data, and their applications to large
scale educational assessment tests.
Bio:
Zhiliang Ying received BS (1982, mathematics) from Fudan University, MA (1985, Statistics)
and PhD (1987, Statistics) from Columbia University. From 1987 to 1993, he was Assistant
and Associate (with tenure) Professor of Statistics at University of Illinois at Urbana-Champaign.
In 1994, after one year at Columbia University, he joined Rutgers University where
he also served as Director of Institute of Biostatistics. He has been professor of
statistics at Columbia University since 2000.
Zhiliang Ying's research activities span methodological research in statistics, and
its applications in other disciplines. They include areas of survival analysis, semiparametric
models, sequential analysis, computerized adaptive testing, cognitive diagnosis, stochastic
control, statistical methods for financial data among other. He has published over
170 journal articles and served as consultant to major pharmaceutical companies as
well as medical research centers.
Zhiliang Ying is a fellow of the Institute of Mathematical Statistics (1995), of the
American Statistical Association (1999) and of the American Educational Research Association
(2021). He served as President of the International Chinese Statistics Association
(2003). He is a recipient of the Morningside Gold Medal of Applied Mathematics (2004),
NCME Annual Award (2008), AERA Division D Significant Contribution to Educational
Measurement and Research Methodology Award (2011).