Lessons

Lesson 0: Setting up computing resources
Lesson 1: Polars and split-apply-combine
Lesson 2: Exploratory plotting
Lesson 3: Probability distributions and the plug-in principle
Lesson 4: Nonparametric inference with hacker stats
Lesson 5: Generative modeling and parametric inference
Lesson 6: Maximum likelihood estimation
Lesson 7: Variate-covariate modeling
Lesson 8: Model assessment

Exercises

Exercise 1. Polars and split-apply-combine
Exercise 2. Exploratory plotting
Exercise 3. Working with probability distributions
Exercise 4: Nonparametric hacker stats
Exercise 5: Generative modeling
Exercise 6: Maximum likelihood estimation
Exercise 7: MLE with variate-covariate models
Exercise 8: Model assessment

Schedule

Schedule overview
Daily schedule

PoL workshop on statistical inference, part 1

Index

Index

Last updated on Aug 22, 2024.

© 2021–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a Creative Commons Attribution License CC-BY 4.0. All code contained herein is licensed under an MIT license.

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