Home /

Courses

Find a Course

Use the menus below to help you find a course.

By Prefix and Number:

PREFIX:

NUMBER:

By Prefix:

Advanced Search

Keyword Search
Online Learning (E)
Service-Learning (S)
Honors (H)
Integrated Language (I)
Writing Intensive (W)
Non-Credit Discussion Group (D)
Lab (Non-Credit and Credit) (L)

Quicklinks

Schedule of Classes
Transfer Equivalency Search
Course Application Deadlines


Course ID:	STAT 4530/6530. 3 hours.
Course Title:	Statistical Inference for Data Scientists
Course Description:	Mathematical and computational approaches to estimation and inference from frequentist and Bayesian perspectives. Sampling distributions; maximum likelihood estimation; computational maximization of likelihoods, including grid search, Newton- Raphson methods; likelihood ratio tests. Simulations of power and error rates. Introduction to Bayesian inference; prior and posterior distributions; model building; sampling from the posterior distribution; MCMC algorithms.
Athena Title:	Stat Inference Data Scientists
Undergraduate Prerequisite:	CSCI 3360 and STAT 4510/6510
Graduate Prerequisite:	STAT 4510/6510
Semester Course Offered:	Offered spring semester every year.
Grading System:	A-F (Traditional)

Syllabus: No Syllabus Available