Part of a graph that shows what the results of Bayesian inference looks like. (Image courtesy of Granthan87. Image is in the public domain.)
Instructor(s)
Prof. Anna Mikusheva
MIT Course Number
14.381
As Taught In
Fall 2013
Level
Graduate
Course Description
Course Features
Course Description
This course is divided into two sections, Part I and Part II. Part I, found here, provides an introduction to statistical theory. A brief review of probability will be given mainly as background material, however, it is assumed to be known. Topics include normal distribution, limit theorems, Bayesian concepts, and testing, among others.
Part II prepares students for the remainder of the econometrics sequence and and can be found by visiting 14.381 Fall 2006.
Other Versions
Other OCW Versions
This subject is divided into two sections. The Fall 2013 version covers topics taught in the first half of the course, and the Fall 2006 version covers the second half of the course.