Bayesian Statistics and Hierarchical Bayesian Modeling for Psychological Science (200077-1 SE)
Advanced Seminar: Mind and Brain; 2020S
Instructor: Lei Zhang
Location: Hörsaal E (Liebiggasse 5) [online teaching via Zoom]
When: 09:45-11:15 Wednesdays (see calendar below)
Calendar
L01: 18.03 Introduction and overview
L02: 27.03 Introduction to R
L03: 01.04 Probability; Bayes' theorem
L04: 22.04 Bayesian inference; Binomial model
L05: 29.04 Binomial model in Stan; Simple linear regression
L06: 06.05 Intro to cognitive modeling
L07: 13.05 Reinforcement Learning (concepts, meaning of parameters)
L08: 20.05 Implementing simple RL model
L09: 27.05 Hierarchical modeling
L10: 03.06 Stan optimization
L11: 10.06 PRL task and model comparison
L12: 17.06 Stan tips + Programming project
L13: 24.06 Programming project + Summary
Important dates
18.03.20: Announcement of the programing project
10.05.20: Submission deadline for Review of a paper#1
14.06.20: Submission deadline for Review of a paper#2
31.07.20: Submission deadline for Programming project
LICENSE
This license (CC BY-NC 4.0) gives you the right to re-use and adapt, as long as you note any changes you made, and provide a link to the original source. Read here for more details.
