Все публикации

0:05:13

31 - Normal prior conjugate to normal likelihood - proof 1

0:10:13

An introduction to vectors and dual vectors

0:07:05

What are dual vectors?

0:08:38

How to visualise a one-form

0:02:04

Cauchy Schwarz Inequality Proof part 2

0:04:21

Independence in statistics an introduction

0:06:25

Cauchy Schwarz Inequality Proof

0:06:08

The intuition behind Jensen's Inequality

0:07:44

76 method of moments log normal distribution

0:07:48

75 method of moments normal distribution

0:04:24

Jensen's Inequality proof

0:10:24

Zero conditional mean of errors

0:06:34

78 method of moments linear regression

0:11:42

44 - Posterior predictive distribution a negative binomial for gamma prior to poisson likelihood

0:05:10

40 - Poisson model: crime count example introduction

0:08:33

41 - Proof: Gamma prior is conjugate to Poisson likelihood

0:09:57

37 - The Poisson distribution - an introduction - 1

0:10:45

38 - The Poisson distribution - an introduction - 2

0:17:28

39 - The gamma distribution - an introduction

0:08:14

36 - Population mean test score - normal prior and likelihood

0:06:07

34 - Normal prior and likelihood - prior predictive distribution

0:04:27

32 - Normal prior conjugate to normal likelihood - proof 2

0:05:58

35 - Normal prior and likelihood - posterior predictive distribution

0:05:30

Finite sample properties of Wald + Score and Likelihood Ratio test statistics