Skip to main content

COVID-19 Resources

What people with cancer should know:

Guidance for cancer researchers:

Get the latest public health information from CDC:

Get the latest research information from NIH:

Grant Details

Grant Number: 1R13CA082294-01 Interpret this number
Primary Investigator: Kass, Robert
Organization: Carnegie-Mellon University
Project Title: Case Studies in Bayesian Statistics
Fiscal Year: 1999


A symposium entitled "Bayesian Statistics in Science and Technology: Case Studies V" will be held at Carnegie-Mellon University in Pittsburgh, Pennsylvania, on Friday September 24 and Saturday September 25, 1999. The symposium will include three extended presentations of applications of Bayesian methods in problems in which the statistician was an integral member of the research team. Two contributed poster sessions will also be held. The objectives of the symposium are to (i) Identify and focus attention on specific implementation and theoretical problems that hinder applications of Bayesian methods, and to identify candidate solutions; (ii) Provide a forum in which the interplay between statistical theory and practice will be explored in the context of concrete research projects; (iii) Provide a small-meeting atmosphere within which junior investigators and graduate students can explore substantial Bayesian applications with experienced researchers; and (iv) Produce a volume containing well-documented case studies and data sets suitable for use by researchers, practitioners, educators and students of applied statistics and other quantitative fields. As increasingly much background information becomes available to scientists undertaking an investigation, it is important to utilize previous knowledge effectively in designing studies and analyzing data. Bayesian statistical methods are tailored to this purpose. There have been many recent advances in Bayesian statistical theory and computation, but scientific meetings rarely spend substantial time discussing applications. The purpose of this symposium is to concentrate attention solely on applications of Bayesian statistics. The goal is to elucidate the interplay between theory and practice and thereby identify successful methods and indicate important directions for future research.


Error Notice

If you are accessing this page during weekend or evening hours, the database may currently be offline for maintenance and should operational within a few hours. Otherwise, we have been notified of this error and will be addressing it immediately.

Please contact us if this error persists.

We apologize for the inconvenience.
- The DCCPS Team.

Back to Top