Faculty & Research

Zvi Gilula

Zvi Gilula

Visiting Professor of Statistics

Zvi Gilula's field of research is categorical data analysis, with wide applications in marketing, pharmaceuticals, trading, communication, and gaming. He was an associate editor of the Journal of the American Statistical Association from 1986 to 2006, and was an associate editor for the International Journal of Marketing Research from 2000-2007. He has been involved in methodological consulting for well-known companies such as Roche Holdings in Europe, GTE, Prudential, TNS, Kantar in the UK and Morningside Technology in China. He advised the Israel National Lottery for many years, and is active as an advisor in the high-frequency algo-trading. Zvi Gilula has been supervising the TV rating in Israel for the last 17 years, and during the last 14 years, he has been providing expert’s opinion to many big law firms on “Chance vs. Skill” in the on-line gaming industry (poker, backgammon, fantasy sport games, etc.) for the biggest on-line companies in the world like Electronic Arts, Drafkings, and more.

He received his education from Hebrew University, where he earned a bachelor's degree, a master's degree, and a PhD, all in statistics. He is also an elected fellow of the Royal Statistical Society and the American Statistical Association.

Outside of academia, Zvi Gilula enjoys philosophy of religions, psychology of rationality, chess, and single malts.


2019 - 2020 Course Schedule

Number Title Quarter
41301 Statistical Insight into Marketing, Consulting, and Entrepreneurship 2019 (Fall)
41301 Statistical Insight into Marketing, Consulting, and Entrepreneurship 2020 (Summer)

Other Interests

Chess, philosophy of religions, psychology of rationality, and single malts.


Research Activities

Categorical data analysis; marketing research and consulting; risk analysis.

With Mike Evans, "The Conversion of Attitudinal Scales" (2012).

With R. McCulloch "High Dimensional Data Fusion for Categorical Vaiables” (2012).

With P. Rossi and R. McCulloch, "Direct Data Fusion" (2006).

With S. Haberman and P. van der Heijden, "Probabilistic Models for Multiple Correspondence Analysis" (2005).

With S. Haberman, "The Analysis of Categorical Profiles by Informative Summaries," Sociological Methodology (2001).

For a listing of research publications, please visit the university library listing page.

A Direct Approach to Data Fusion
Date Posted: Apr  22, 2008
The generic data fusion problem is to make inferences about the joint distribution of two sets of variables without any direct observations of the joint distribution. Instead, information is only available about each set separately along with some other set of common variables. The standard approach to data fusion creates a fused data set with the variables of interest and the common variables. Our approach directly estimates the joint distribution of just the variables of interest. For the ...