ADVANCED INTRO PROBABILITY

STA 231

Advanced introduction to basic, non-measure theoretic probability covering topics in more depth and with more rigor than MATH 230. Topics include random variables with discrete and continuous distributions. Independence, joint distributions, conditional distributions, generating functions, Bayes' formula, and Markov chains. Rigorous arguments are presented for the law of large numbers, central limit theorem, and Poisson limit theorems. Instructor: Staff

Day / Time: 

TuTh 04:40 PM-05:55 PM

Location: 

Physics 259

Instructor: 

Junge, Matthew

Section: 

01