Statistical Methods III

STAT 520 XW


Course Description

Nonlinear regression; generalized least squares; asymptotic inference. Generalized linear models; exponential dispersion families; maximum likelihood and inference. Designing Monte Carlo studies; bootstrap; cross-validation. Fundamentals of Bayesian analysis; data models, priors and posteriors; posterior prediction; credible intervals; Bayes Factors; types of priors; simulation of posteriors; introduction to hierarchical models and Markov Chain Monte Carlo methods.

3 credits

Questions

Instructor Contact

Emily Berg

Registration Information

Course Dept
STAT
Course Number
520
Section
XW
Credit Hours
3
Semester
Fall 2018
Dates
Aug 20 - Dec 14
Prerequisites
STAT 510, STAT 447 or STAT 543
Max Enrollment
35
Delivery Fee
$150.00 *
* Delivery Fee is additional to Tuition & Fees.

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