Ioannis Kosmidis

Professor of Statistics

Department of Statistics, University of Warwick

ioannis.kosmidis@warwick.ac.uk

ikosmidis.com ikosmidis ikosmidis_

19 April 2024

Model selection

Beyond generalized linear models

Nonlinear models

Materials | Link |
---|---|

Preliminary material | ikosmidis.com/files/APTS-SM-Preliminary |

Notes | ikosmidis.com/files/APTS-SM-Notes |

Slides: Introduction | ikosmidis.com/files/APTS-SM-Slides-intro |

Slides: Model selection | ikosmidis.com/files/APTS-SM-Slides-model-selection |

Slides: Beyond GLMs | ikosmidis.com/files/APTS-SM-Slides-beyond-glms |

Slides: Nonlinear models | ikosmidis.com/files/APTS-SM-Slides-nonlinear-models |

Slides: Latent variables | ikosmidis.com/files/APTS-SM-Slides-latent |

Lab 1 | ikosmidis.com/files/APTS-SM-Notes/lab1.html |

Lab 2 | ikosmidis.com/files/APTS-SM-Notes/lab2.html |

Room | Building | |
---|---|---|

Lectures | A09 | ESLC (54) |

Labs | C19 | Coates (36) |

Breakouts | C01, C13 | ESLC (54) |

Lunch | Foyer | ESLC (54) |

The notes and the slides have chunks of R code, which should be fully reproducible if executed in in the order they appear, in a single R session from

- a standard R installation with
- the contributed packages
`MuMIn`

,`modelsummary`

,`lme4`

,`ggplot2`

,`SMPracticals`

In order to install those packages click on the arrow below and copy and pages the R code

Let me know (either during the lectures or by email) if you find any tyops on the slides, or any of the other materials.

I would welcome contributions of code that replicates the analyses in the notes in other languages (e.g. Python, Julia).

I will be making time for questions.

Lift your hand or speak up at any point.

Ioannis Kosmidis - Statistical Modelling