Doing Bayesian Data Analysis
Instructor: John Kruschke
Offered through the
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. The course shows you how to do Bayesian data analysis, hands on (with free software called R and JAGS). 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 mathematical expertise is presumed.
This course is offered through the Inter-university Consortium for Political and Social Research (ICPSR). Registration information is included below.
|A posterior probability distribution for parameters that describe two groups, showing complete distributions of the difference of means (right middle), the difference of standard deviations, the effect size (right bottom), and posterior predictive check (right upper).|
For more information about Bayesian data analysis, with links to articles and videos, and for information about the instructor, scroll to the bottom of this page, or click here!
Below is a sampling of events happening that week. Check the event calendar links above for lots more!
Sunday, July 14, 2013
Monday, July 15, 2013
- USA International Harp Competition - Stage II. 09:00 AM to 02:00 PM
- The Matchmaker (stage theater). Wells-Metz Theatre, 02:00 PM to 04:00 PM
- Sarah Kapustin, Violin and Jeannette Koekkoek, Piano. Music Library and Recital Center. 04:00 PM to 06:00 PM
- Much Ado About Nothing (yes, Shakespeare). Wells-Metz Theatre, 07:30 PM to 09:30 PM
- IU Percussion Academy Faculty Recital. Music Library & Recital Center, 08:00 PM to 10:00 PM
You get the idea -- there really is lots happening! Check out the calendar links, above.
- The World of Percussion, featuring Michael Spiro. Neal Marshall Grand Hall, 07:00 PM to 09:00 PM
- Ballroom dance lesson. School of Public Health 171, 07:30 PM to 08:30 PM
- Festival Chamber Players - Mary Ann Hart, mezzo-soprano; Sarah Kapustin, violin; Stephen Wyrczynski, viola; Csaba Onczay, cello; Chih-Yi Chen, piano. Music Library & Recital Center (Bess Meshulam Simon Music Library and Recital Center), 08:00 PM to 10:00 PM
A large variety of restaurants are within easy walking distance. Lots of information is at this link.
By air, fly to Indianapolis, Indiana, and take a 1-hr shuttle directly to the hotel on the campus of Indiana University. The shuttles have a limited schedule so be sure to reserve a seat in advance (see links below).
There is a block of rooms set aside at the Biddle Hotel, right on campus. The block will be released on June 14, so reserve soon before the rooms are all taken or released to other events! Hotel information is at this link, http://www.imu.indiana.edu/hotel/, or you can phone 800-209-8145. Be sure to mention Group Code "ICPSR" when you make your reservation.
Alternative hotels near campus: Visit Bloomington hotel guide.
This course is offered as part of the ICPSR Summer Program in Quantitative Methods of Social Research, so you must register to attend. People who are not on the official roster will not be admitted to the classroom. Registration information is at this link. Registration fees are the standard amounts set by ICPSR. Neither the instructor nor Indiana University has any control over fees. Please check this ICPSR web page for information about whether your institution is a member of ICPSR.
You are encouraged to bring a notebook computer to the workshop, so you can run the programs and see how their output corresponds with the presentation material. If you want to bring a notebook computer to the workshop, please install the software before arriving at the workshop. For complete installation instructions, please refer to this blog entry.
New Computer Lab Classroom. The course will be taught in the newly renovated Social Science Research Commons. (But all disciplines are welcome, including natural, biological, and medical sciences.) Although desktop computers are available on site, if you bring your own notebook computer you will have all the working programs ready for your personal use wherever you go.
Above: A brief video that describes Bayesian estimation for comparing two groups, and how Bayesian estimation supersedes the t test.
Recommended textbook: Doing Bayesian Data Analysis: A Tutorial with R and BUGS. The book is a genuinely accessible, tutorial introduction to doing Bayesian data analysis. The software used in the course accompanies the book, and many topics in the course are based on the book. For reviews of the book at Amazon.com, click here. See links to some published reviews of the book here. Other endorsements and information about the book can be read here.
Bayesian data analysis is not Bayesian modeling of cognition. Data analysis involves "generic" descriptive models (such as linear regression) without any necessary interpretation as cognitive computation. The rational way to estimate parameters in descriptive models is Bayesian, regardless of whether or not Bayesian models of mind are viable. The concepts and methods of Bayesian data analysis transfer to other Bayesian models, including Bayesian models of cognition. Read more at this blog entry.
This page URL: http://www.indiana.edu/~jkkteach/WorkshopICPSR2013.html