Monte Carlo Methods and Contingency Tables

Robert Eisinger, Instructor of Mathematics, Statistics, and Computer Science, St. Olaf College

Friday, November 9, 2018 - 3:30pm

Although people have been interacting with randomness for a long time, only recently have researchers begun harnessing the principles of randomness to help solve statistical problems. This lecture will introduce Monte Carlo methods, a class of computational techniques that use random sampling to answer questions. After an overview, Monte Carlo tools will be explored using interesting examples, including data from ecology.

Seminars generally take place in 116 Old Chemistry Building on Fridays from 3:30 - 4:30 pm. For additional information contact: karen.whitesell@duke.edu or phone 919-684-8029. Sorry, but we do not have reprints available. Please feel free to contact the authors by email for follow-up information, articles, etc. Reception following seminar in 203B Old Chemistry.

Old Chemistry 116

Location Info