Self Study

My solutions to textbook exercises.

All of Statistics by Larry Wasserman

1 - Probability
2 - Random Variables
3 - Expectation
4 - Inequalities
5 - Convergence of Random Variables
6 - Models, Statistical Inference, and Learning
7 - Estimating the CDF and Statistical Functionals
8 - The Bootstrap
9 - Parametric Inference
10 - Hypothesis Testing and $p$-values
11 - Bayesian Inference
12 - Statistical Decision Theory
13 - Linear and Logistic Regression
14 - Multivariate Models
15 - Inference about Independence
16 - Causal Inference
17 - Directed Graphs and Conditional Independence
18 - Undirected Graphs
19 - Log-Linear Models
20 - Nonparametric Curve Estimation
21 - Smoothing Using Orthogonal Functions
22 - Classification
23 - Stochastic Processes
24 - Simulation Methods

Reinforcement Learning by Richard S. Sutton and Andrew G. Barto

2 - Multi-armed Bandits
3 - Finite Markov Decision Processes
4 - Dynamic Programming