Mendoza School of Business


Zifeng Zhao

Assistant Professor
Information Technology, Analytics, and Operations
 574-631-5065
  358 Mendoza College of Business
  • Biography
  • Background
  • Publications

Zifeng Zhao is an Assistant Professor of Business Analytics at the Mendoza College of Business. His research focuses on solving business analytics problems via statistics and machine learning. His interests include developing copula-based statistical models for multivariate time series and multivariate longitudinal data, designing extreme value theory (EVT)-based models for financial risk monitoring, and building efficient staistical algorithms for change-point detection and large-scale forecasting. His research has been applied to areas like financial risk management, portfolio optimization, insurance risk classification and pricing, and web search traffic forecasting. Zhao has a PhD in Statistics and an MS degree in Machine Learning from the University of Wisconsin-Madison, and a BS degree in Financial Risk Management from the Chinese University of Hong Kong.

Education
Ph D, University of Wisconsin - Madison
MS, University of Wisconsin - Madison
BS, Chinese University of Hong Kong

Areas of Expertise
Change Point Detection
Copula and Dependence
Extreme Value Theory
Time Series
Longitudinal Data Analysis

"Modeling maxima with Autoregressive conditional Frechet model", (With Zhengjun Zhang, Rong Chen), Journal of Econometrics, 207, 2018

"Semi-parametric dynamic max-copula model for multivariate time series", (With Zhengjun Zhang), Journal of the Royal Statistical Society - Series B, 80, 2018

"Inference for multiple change-points in time series via likelihood ratio scan statistics", (With Chunyip Yau), Journal of the Royal Statistical Society - Series B, 78, 2016

"Regressor and disturbance have moments of all order, least squares estimator has none", (With Kenneth West), Statistics & Probability Letters, 115, 2016