IAM-PIMS-MITACS Distinguished Colloquium -Bayesian Statistical Reasoning

  • Date: 12/07/2009
Lecturer(s):
David Draper (University of California at Santa Cruz)
Location: 

University of British Columbia

Topic: 

Bayesian Statistical Reasoning: An Inferential, Predictive and Decision-Making Paradigm for the 21st Century

Description: 

In this talk I'll (a) provide an overview of the history of probability and statistics, shedding some light on a 19th- and 20th-century dispute between two probabilistic schools (frequentist and Bayesian), (b) explain why a fusion between the two approaches is better than a fight between them, and (c) give examples of Bayesian inference, prediction and decision-making in the context of several case studies from medicine and health policy, illustrating the fusion just mentioned. Non-statisticians interested in the history of mathematics (and science) may find the talk worthwhile, and there will also be points of potential technical interest for both applied mathematicians and statisticians.

Schedule: 

3:00-4:00 pm,

Rm 301, Leonard S. Klinck Building (6356 Agricultural Road, UBC).

 

Refreshments will be served 15 minutes prior to the talk in room 306 (IAM Lounge).

Other Information: 

This is the 3rd lecture of the 2009-10 IAM-PIMS-MITACS Distinguished Colloquium Series. For full details, visit:

http://www.iam.ubc.ca.

Sponsor: 

iam

pims

mitacs