Все публикации

1:07:52

Create an R package (example: weather data API)

0:54:49

Introduction to Continuous Optimization for Statistics

1:00:51

Computational Algorithms for Least Squares and Generalized Least Squares Regression

1:18:27

Theory for solving linear systems - Part 1

1:03:25

Floating Point Numbers - Theory and Practice

1:00:04

Writing Fast R Code

1:16:09

Fundamentals of R Graphics

0:44:52

R error handling and debugging

0:48:05

R Input/Output - reading data, printing to screen, saving data

0:47:14

Functions in R

0:52:14

Subsetting objects in R

1:01:58

Atomic vectors and lists in R

0:30:37

Super Shoes: impact of Nike Vaporfly shoes on marathon performances

0:21:52

Analysis of Galton families data set: predicting children's heights from parents' heights

0:48:48

Brief Introduction to Time Series and Gaussian Process Models

0:44:25

Random Effects Models

0:51:58

Maximum Likelihood and REML for Linear Models

0:49:06

Linear Regression - Additive vs Interaction Models

1:17:40

Factor or Categorical Covariates

0:58:40

Variance, t-tests, and F-tests

1:00:05

Multiple Linear Model + Multivariate Normal

1:00:56

Matrix Algebra - Part 2

1:23:30

Matrix Algebra - Part 1

0:47:18

Statistical Modeling and Simple Linear Models