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

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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.

- What software to install
- What literature to read
- What the final project is all about

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 | practice: parameter estimation 2 | Lee & Wagenmakers ch. 3, 4 | 3rd HW issued – parts 1, 2, 3 |

14 | 18/12 | hierarchical modeling | Kruschke ch. 9 | |

15 | 20/12 | practice: latent mixture models | Lee & Wagenmakers ch. 6 | 3rd HW due. Solutions: 1, 2, 3 |

– | – | Christmas break | – | |

16 | 08/01 | model comparison 1 | Kruschke 10, blog post | |

17 | 10/01 | cancelled | ||

18 | 15/01 | model comparison 2 | Savage-Dickey tutorial, bridge sampling tutorial | |

19 | 17/01 | estimation, comparison & criticism | Kruschke 12 | |

20 | 22/01 | generalized linear model | Kruschke ch 15, 16, 17 | 4th HW issued |

21 | 24/01 | cancelled | ||

22 | 29/01 | more on the GLM | Kruschke ch 16-22 case study | |

22 | 31/01 | practice | Kruschke ch 16-22 | 4th HW due (Feb 3) solution |

22 | 05/02 | mixed models | Sorensen et al. (2016) | |

23 | 07/02 | project presentations, discussion | 5th HW issued (Due March 3nd) solution |