BDACM_2018

Class material for "Bayesian Data Analysis & Cognitive Modeling" 2018


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Bayesian Data Analysis & Cognitive Modeling

The course introduces main ideas and tools of Bayesian data analysis. We will compare standard and Bayesian approaches to statistical inference. We will also look at Bayesian inference and model comparison for special-purpose cognitive models in order to demonstrate the general usefulness of a Bayesian approach to analyzing data.

Course notes

  1. What software to install
  2. What literature to read

Schedule & slides

NB: when slides are HTML files, use arrow keys to navigate (including up and down!).

n date topic reading (main) extra info
1 23/10 overview & formalities    
2 25/10 probability basics script & Kruschke ch. 4  
3 30/10 basics of R R for Data Science 3, 5, 12, 18, 21; R manual 1st HW issued
- 01/11 no class    
4 06/11 classical statistics I script 1st HW due solution
5 08/11 practice on stats I experiment results 1st Practice solution
6 13/11 classical statistics II    
7 15/11 practice on stats II   2nd Practice
8 20/11 p-problems Wagenmakers (2007)  
9 22/11 BDA basics Kruschke ch. 5, 6 2nd HW issued
- 27/11 no class    
10 29/11 Bayesian computation: MH & Gibbs Kruschke ch. 7 2nd HW due solution
- 04/12 cancelled  
11 06/12 HMC & Stan Kruschke ch. 14 & Stanmanual, minimal example  
12 11/12 practice: parameter estimation Lee & Wagenmakers ch. 3, 4, Stan code  
13 13/12 hierarchical modeling & practice: parameter estimation 2 Kruschke ch. 9 & Lee & Wagenmakers ch. 5, 6 3rd HW issued – parts 1, 2, 3
14 18/12 model comparison    
15 20/12 practice: model comparison Lee & Wagenmakers ch. 7, 8 3rd HW due
Christmas break  
16 08/01 computing Bayes factors   4th HW issued
17 10/01 estimation, comparison & criticism Kruschke 11, 12  
18 15/01 generalized linear model Kruschke ch 15, 16, 17 4th HW due
19 17/01 practice Kruschke ch 15, 16, 17  
20 22/01 more on the GLM Kruschke ch 16-22  
21 24/01 practice Kruschke ch 16-22  
22 29/01 mixed models & LOO Sorensen et al. (2016)  
22 31/01 practice   5th HW issued
22 05/02 spill-over, rounding off    
23 07/02 project presentations, discussion   5th HW due