04:20

Statistical Rethinking (2nd Ed), Solutions to Problems 11M1 | Aggregated v Disaggregated logis reg

03:00

Statistical Rethinking (2nd Ed), Solutions to Problems 11E4 | Offsets in Poisson regression

08:06

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.16A

13:15

Generalized Linear Models w/ Examples in R, Solution to Problem 2.14

14:04

Generalized Linear Models w/ Examples in R, Solution to Problem 2.13

06:14

Statistical Rethinking (2nd Ed), Solutions to Problems 11E1-11E3 | log odds

00:30

10x

00:35

1x

08:17

Statistical Rethinking (2nd Ed), Solutions to Problems 9H7 | Coding HMC (with cheat function)

05:13

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.15A

13:43

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.14A

15:00

Statistical Rethinking (2nd Ed), Solutions to Problems 9H6 | Coding the Metropolis Algorithm AGAIN

09:54

Statistical Rethinking (2nd Ed), Solutions to Problems 9H5 | Coding the Metropolis Algorithm

05:25

Statistical Rethinking (2nd Ed), Solutions to Problems 9H4

07:18

Generalized Linear Models w/ Examples in R, Solution to Problem 2.12 | Probability of False Positive

08:21

Generalized Linear Models w/ Examples in R, Solution to Problem 2.11

10:10

Statistical Rethinking (2nd Ed), Solutions to Problems 9H3 | practicing with constraints

12:13

Generalized Linear Models w/ Examples in R, Solution to Problem 2.10 | Local linearity

09:43

Statistical Rethinking (2nd Ed), Solutions to Problems 9H2 | WAIC and PSIS with MCMC (ulam)

23:58

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.13A

08:10

Generalized Linear Models w/ Examples in R, Solution to Problem 2.9 | Variance of mu_hat

00:57

Generalized Linear Models w/ Examples in R, Solution to Problem 2.8 | F and R2 are related

09:01

Statistical Rethinking (2nd Ed), Solutions to Problems 9H1 | Practice with traceplots

11:38

Statistical Rethinking (2nd Ed), Solutions to Problems 9M1-9M3 | Practicing with HMC

06:01

Causal Inference in Statistics, Solution to Problem 1.4.1 | Basic Graph relations

12:54

Causal Inference in Statistics, Solution to Problem 1.3.9

06:18

Statistical Rethinking (2nd Ed), Solutions to Problems 9E6-9E7 | Trace Plots and Trank Plots

05:20

Statistical Rethinking (2nd Ed), Solution to Question 9E5 | Rhat explained

07:34

Generalized Linear Models w/ Examples in R, Solution to Problem 2.7 | Cov-Var for beta_hat

15:15

Statistical Rethinking (2nd Ed), Solution to Question 9E4 | n_eff/ESS vs independent samples

04:27

Generalized Linear Models w/ Examples in R, Solution to Problem 2.6 | beta_hat is unbiased

08:29

Statistical Rethinking (2nd Ed), Solution to Question 9E3 | Hamiltonian Monte Carlo

07:12

Generalized Linear Models w/ Examples in R, Solution to Problem 2.5 | beta_hat is unbiased

08:16

Statistical Rethinking (2nd Ed), Solution to Question 9E2 | Gibbs algorithm

06:02

Generalized Linear Models w/ Examples in R, Solution to Problem 2.4

18:34

Statistical Rethinking (2nd Ed), Solution to Question 9E1 | Metropolis algorithm

10:09

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.12C

17:04

Causal Inference in Statistics, Solution to Problem 1.3.8

14:08

Generalized Linear Models w/ Examples in R, Solution to Problem 2.3

14:47

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.11C

15:18

Generalized Linear Models w/ Examples in R, Solution to Problem 2.2

18:18

Causal Inference in Statistics, Solution to Problem 1.3.7

19:19

Statistical Rethinking (2nd Ed), Solutions to Problems 8H5-8H7 | Encoding interactions

04:40

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.10C

03:05

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.9 | Odds and Probability

13:03

Statistical Rethinking (2nd Ed), Solution to Problem 8H4

07:33

Causal Inference in Statistics, Solution to Problem 1.3.6

02:58

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.8C | Comparing Test-Error rates

14:31

Statistical Rethinking (2nd Ed), Solutions to Problem 8H3

02:38

Generalized Linear Models w/ Examples in R, Solution to Problem 2.1

06:32

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.7C | Bayes' Classifier + LDA

06:13

Causal Inference in Statistics, Solution to Problem 1.3.5 | solving the Monty Hall Problem w/Bayes'

04:19

Generalized Linear Models w/ Examples in R, Solution to Problem 1.10

09:38

Statistical Rethinking (2nd Ed), Solutions to Problems 8H1-8H2

05:32

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.6C | Applying logistic regression

08:10

Causal Inference in Statistics, Solution to Problem 1.3.4 | Simple Bayes' Theorem application

07:07

Generalized Linear Models w/ Examples in R, Solution to Problem 1.9

13:04

Statistical Rethinking (2nd Ed), Solution to Problem 8M4 | Constraining Priors

13:35

Intro to Statistical Learning (2nd Ed), Solution to Problem 4.5C (R) | LDA vs QDA

04:56

Causal Inference in Statistics, Solution to Problem 1.3.3 | Some basic probability laws