Methods and Computing

Instructor: Yaqi Shi, PhD student (Email)

Syllabus

Click here to download the syllabus

Lectures

Lecture materials will be updated prior to the start of the lecture. There will be exercises for you to test your knowledge, and solutions will be provided after the lecture. If you have any questions, feel free to send me an email.

Module 1: Basic R programming

Module 2: Data wrangling (I)

LaTeX, tidyverse

Module 3: Data wrangling (II)

R style guide - Full Guide

ggplot2

Module 4: Statistical inference (I)

Bias, Consistency, and MSE

Module 5: Statistical inference (II)

MLE, Numerical Methods

Module 6: Statistical inference (III)

Wald, Score, and Likelihood Ratio Test

Module 7: Linear regression

Module 8: Generalized linear models

Module 9: Parallel Computing in R

Module 10: Bootstrap

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