Leonardo Epstein is professor of statistics at the Business School Universidad de los Andes, Santiago, Chile. He received his Ph.D. in
Statistics from Carnegie Mellon University, and previously studied mathematical engineering at the University of Chile.
His current interdisciplinary research follows three lines: first, problems at the interface of statistics and operations research. Second, methods and models for the evaluation of marketing and sales promotion campaigns, and third, biostatistical methods. More specifically, in operations he is developing inventory models for re-usable and rental items. His research in marketing uses data collected from videos captured at stores to develop models for the effects of promotions. In biostatistics his collaborations concern methods to estimate prevalence of diseases where administrative records complement survey data. Past collaborations concentrated on severe climate variability and the health of human populations, and on the effects of diarrheal episodes on the growth of children. Leonardo Epstein has a versatile range of abilities and interests that have allowed him to collaborate with researchers in fields as diverse as Marketing, Operations Research, Health and Public Policy and Epidemiology.
His current statistical methodology research interests center on models for recurrent events, time series analysis of non-normal observations and bayesian approaches for regression with non-normal data.
In addition to core probability and statistics course, professor Epstein has occasionally taught introductory statistics and statistical prediction modules in Business Analytics Diplomas, basic statistics in Project Evaluation programs, and Quantitative Methods in MBA programs.
Selectively, professor Epstein chooses to consult with companies and government agencies.
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):