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 18 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 (In random order, of course…)

 

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)

2020 - 2021 Course Schedule

Number Title Quarter
41301 Statistical Insight into Marketing, Consulting, and Entrepreneurship 2020 (Fall)
41301 Statistical Insight into Marketing, Consulting, and Entrepreneurship 2021 (Summer)

Other Interests

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

 

Research Activities

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

Gilula Z, and McCulloch R,: (2013): Multi level categorical data fusion using partially fused data. Quantitative marketing and Economics, Volume 11, pages 353-377

Gilula, Z., McCulloch, R. and Urminsky, O. , Ritov Y. (2019): A study into mechanisms of  conversion of ordinal attitudinal scales. Quantitative Marketing and Economics, 17, 32-51

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