Autocorrelated Sampling in Cognition

Implementing MCMC Algorithms as Cognitive Models and Fitting Them Without Likelihoods

Lucas Castillo

University of Warwick

C. Stella Qian

University of Warwick

Adam N. Sanborn

University of Warwick

About the workshop

Schedule

Time
08:30 - 09:15 An Introduction to MCMC
09:15 - 10:00 The samplr package
10:00 - 10:30 Break
10:30 - 11:00 ABS: A cognitive model using MCMC
11:00 - 11:40 Using ABC for simulation-based inference
11:40 - 11:55 Future Directions and Discussion
11:55 - 12:00 Final Wrap-Up

Notes

Take a break if you need a break!

Feel free to interrupt, ask questions, etc.

About the workshop

Website

https://lucas-castillo.github.io/mcmc-workshop/

  • Materials
  • Schedule
  • Glossary
  • etc.

About the workshop

Requirements

Before the workshop, please install the R programming language in your machine. An IDE such as RStudio is recommended but not necessary.

The workshop will make use of the following packages for computations: samplr, abc; and these packages for plotting purposes: tidyverse, patchwork. You can install them by running:

install.packages(c("samplr", "abc", "tidyverse", "patchwork"))

on your R console.

If you have issues installing these, please email Lucas Castillo (lucas.castillo@warwick.ac.uk).

About the workshop

People

Organisers

Dr. Lucas Castillo
Dr. C. Stella Qian
Prof. Adam Sanborn

Guest Speakers

Dr. Neil Bramley
Prof. Bob Rehder