Detailed Course Information |
Spring 2025
Feb 05, 2025 |
|
 |
||
 | Select the desired Level or Schedule Type to find available classes for the course. We would like to inform you that Self-Service Banner (Old) will be removed from MyBallState on May 9, 2025. To avoid interruptions in accessing the services you need, please transition to the updated version of Self-Service Banner as soon as possible. Thank you for your attention to this matter. |
| MATH 628 - Computational Methods in Statistics |
|
Random variable generation, Monte Carlo methods and numerical integration, Bayesian inference and Markov chain Monte Carlo, Metropolis-Hastings and Gibbs Sampling, basics of numerical optimization such as Newton's method, constrained optimization, Expectation-Maximization algorithms. Prerequisite: MATH 620 or DSCI 602 or permission of the department chairperson.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Study Abroad, Online Fixed Times (Synch), Online (Asynchronous) Mathematical Sciences Department Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: Graduate level MATH 620 Minimum Grade of D- or Graduate level DSCI 602 Minimum Grade of D- |
| Return to Previous | New Search |
|