|Hedibert Lopes (Brazil)||email@example.com|
|Teaching Bayesian statistics to statisticians
or college students with majors in mathematics and/or statistics is already
an extraordinary challenge, especially when the statistics departments are
essentially non-Bayesians. Add to that the difficulties of transmitting
Bayesian thoughts in service courses and in environments where the students
cannot purchase statistical software, expensive textbooks and most have
stereotyped ideas of what statistics is.
In this talk we will focus on statistical packages like O'Hagan's First Bayes, the BUGS project and the R project, that have come to facilitate the instructor's life by allowing him/her to introduce several Bayesian statistical procedures in a fairly easy and cheap (for free!) way.
Experiences from other Brazilian researchers and instructors that teach Bayesian statistics to biologists, physicians, engineers and economists, among many other fields will also be discussed.
|Download in Word format (DOC).|
|Download in Adobe Acrobat format (PDF).|
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