Notes
Introduction
1 Golem of Prague
2 Small Worlds and Large Worlds
- Practice
  - Easy
  - Medium
  - Hard
3 Sampling the Imaginary
- Practice
  - Easy
  - Medium
  - Hard
4 Linear Models
- Practice
  - Easy
  - Medium
  - Hard
5 Multivariate Linear Models
- Practice
  - Easy
  - Medium
  - Hard
6 Overfitting, Regularization and Information Criteria
- Practice
  - Easy
  - Medium
  - Hard
7 Interactions
- Practice
  - Easy
  - Medium
  - Hard
8 Markov Chain Monte Carlo
- Practice
  - Easy
  - Medium
  - Hard
9 Big Entropy and the Generalized Linear Model
- Practice
  - Easy
  - Medium
  - Hard
10 Counting and Classification
- Practice
  - Easy
  - Medium
  - Hard
11 Monsters and Mixtures
- Practice
  - Easy
  - Medium
  - Hard
12 Multilevel Models
- Practice
  - Easy
  - Medium
  - Hard
13 Adventures in Covariance
- Practice
  - Easy
  - Medium
  - Hard
14 Missing Data and Other Opportunities
- Practice
  - Easy
  - Medium
  - Hard
15 Horoscopes
- Practice
  - Easy
  - Medium
  - Hard
Published with bookdown

Statistical Rethinking

Chapter 6 Overfitting, Regularization and Information Criteria