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

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 |