Resources | Statistics for Applications | Mathematics | MIT OpenCourseWare

Course Info

Instructor

Prof. Philippe Rigollet

Departments

Mathematics

As Taught In

Fall 2016

Level

Undergraduate

Topics

Mathematics

Probability and Statistics

Learning Resource Types

Lecture Notes

Lecture Videos

Problem Sets

Download Course

Download

file_download Download course

This package contains the same content as the online version of the course, except for the audio/video materials. These can be downloaded below. For help downloading and using course materials, read our FAQs.

Lecture Videos

Lecture 1: Introduction to Statistics

Lecture 2: Introduction to Statistics (cont.)

Lecture 3: Parametric Inference

Lecture 4: Parametric Inference (cont.) and Maximum Likelihood Estimation

Lecture 5: Maximum Likelihood Estimation (cont.)

Lecture 6: Maximum Likelihood Estimation (cont.) and the Method of Moments

Lecture 7: Parametric Hypothesis Testing

Lecture 8: Parametric Hypothesis Testing (cont.)

Lecture 9: Parametric Hypothesis Testing (cont.)

Lecture 11: Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit

Assignments

18.650 (F16) Problem Set 1

18.650 (F16) Problem Set 10

18.650 (F16) Problem Set 11

18.650 (F16) Problem Set 2

18.650 (F16) Problem Set 3

18.650 (F16) Problem Set 4

18.650 (F16) Problem Set 5

18.650 (F16) Problem Set 6

18.650 (F16) Problem Set 7

18.650 (F16) Problem Set 8

Lecture Notes

18.650 (F16) Lecture 1: Introduction

18.650 (F16) Lecture 10: Generalized Linear Models (GLMs)

18.650 (F16) Lecture 2: Parametric Inference

18.650 (F16) Lecture 3: Maximum Likelihood Estimation

18.650 (F16) Lecture 4: The Method of Moments

18.650 (F16) Lecture 5: Parametric hypothesis testing

18.650 (F16) Lecture 6: Testing goodness of fit

18.650 (F16) Lecture 7: Regression

18.650 (F16) Lecture 8: Bayesian Statistics

18.650 (F16) Lecture 9: Principal Component Analysis (PCA)

MIT Open Learning

Over 2,500 courses & materials

Freely sharing knowledge with learners and educators around the world. Learn more

© 2001–2023 Massachusetts Institute of Technology

Accessibility

Creative Commons License

Terms and Conditions

Proud member of:

© 2001–2023 Massachusetts Institute of Technology