Universidad de los Andes (https://www.uandes.cl/universidad/nosotros/our-university/)
School of Business
Leonardo D. Epstein
Professor (Full) of Statistics
LEPSTEIN at uandes dot cl
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 sensors and videos captured at stores to develop models for the effects of promotions. In biostatistics his collaborations concern methods to evaluate the effects of economic recessions on suicide rates and the effectiveness of suicide prevention programs. Past collaborations concentrated on severe climate variability and the health of human populations, and on the effects of diarrhea 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 discrete 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 or government agencies.
Publications:
See my Google Scholar page: GoogleScholar