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Doing Bayesian Data Analysis
A workshop with John K. Kruschke at the
University of Oslo, Norway
June 4 – 6, 2014

Abstract
Many fields of science are transitioning from null hypothesis
significance testing (NHST) to Bayesian data analysis. Bayesian analysis
provides complete information about the relative credibilities of all
candidate parameter values for any descriptive model of the data.
Bayesian analysis applies flexibly and seamlessly to complex
hierarchical models and realistic data structures, including small
samples, large samples, unbalanced designs, missing data, censored data,
outliers, etc. Bayesian analysis software is flexible and can be used
for a wide variety of data-analytic models. This workshop shows you how
to do Bayesian data analysis, hands on (with free software called R and
JAGS). The workshop will use new programs and examples.

The intended audience is advanced students, faculty, and other
researchers, from all disciplines, who want a ground-floor introduction
to doing Bayesian data analysis. No specific mathematical expertise is
presumed. In particular, no matrix algebra is used in the workshop. Some
previous familiarity with statistical methods such as a t-test or linear
regression can be helpful, as is some previous experience with
programming in any computer language, but these are not critical.

For mer informasjon og påmelding, sjekk ut kurssiden her

Kilde: HERO infomail