1. Basic Probability Theory (I)
2. Basic Probability Theory (II)
3. Bayesian Inference (I)
4. Bayesian Inference (II)
5. Beta-Bernoulli updates (scripts available on eCommons)
6. statistical modeling in general and Bayesian modeling in particular: recap; introduction to Markov Chain Monte Carlo (MCMC) and the Metropolis-Hastings family of algorithms (scripts available on eCommons)
7. the mean model …

Fall 2012 graduate seminar (Ling 239, UCSC): Introduction to Bayesian Data Analysis & Cognitive Modeling. See the syllabus for more information.

There will be an R tutorial on Thur June 14, 1 pm in the Cave. Please feel free to bring your laptops (it’s actually recommended). In preparation for the tutorial, please download and install R from here (or some other mirror):

http://cran.cnr.berkeley.edu/

and ALSO please …

We introduced Gaussian mixtures today and discussed how to estimate their parameters with R & JAGS for finite mixtures and the R package “DPpackage” for infinite (Dirichlet Process) mixtures. As we mentioned in our concluding discussion today, there is a very wide range of possible linguistic applications for this kind of …

On April 26, Jakub Dotlacil presented recent and ongoing work with Adrian Brasoveanu on the semantics and processing of distributivity, reporting the results of 3 eye-tracking experiments that investigated:

1. whether distributive vs. collective readings for plural definites are a matter of ambiguity or vagueness (building on previous work by Frazier …

John Kruschke made a couple of changes to the hierarchical Bayesian ANOVA scripts in his “Doing Bayesian Data Analysis” book. An important one is changing the hyperprior on the SD parameter. Here’s a lightly edited quote:

The previous version (see p. 496) had the folded-t prior recommended by Gelman …

The R & JAGS scripts we used today to discuss ch. 12 “The SIMPLE Model of Memory” and ch. 11 “Signal Detection Theory” of Lee & Wagenmakers (“Bayesian Cognitive Modeling: A Practical Course”, to appear) are available here: ch-12-LW.r and ch-11-LW.r. As we mentioned during the meeting, these …

The R & JAGS script we used today to discuss ch. 10 “Individual Differences in Memory Retention” of Lee & Wagenmakers (“Bayesian Cognitive Modeling: A Practical Course”, to appear) is available here: ch-10-LW.r. As we mentioned during the meeting, this chapter is an intro to random-effects models (random effects by …

Ryan Bennett presented ch. 14 “Generalized Context Model” of Lee & Wagenmakers (“Bayesian Cognitive Modeling: A Practical Course”, to appear) on March 15. The R script discussed in class is available here: GCM-code.R. You can find the required data file “KruschkeData.mat” in the “Code.zip” file available on …

Ekaterina Kravtchenko presented ch. 11 “Signal Detection Theory” of Lee & Wagenmakers (“Bayesian Cognitive Modeling: A Practical Course”, to appear) on March 13. The handout, R script and BUGS model discussed in class are available here: SDT.pdf, SDT-1.R, SDT-1.txt.