George Mason University
George Mason University Mason
George Mason University

STAT 778: Algorithms and Simulation for Statistics in C

Instructor Information

Section Information

Introduces high level simulations and algorithms for complex statistical problems using C. Topics include: pointers, arrays, random number generation, iterative numerical algorithms, sorting, matrix operation, numerical integration and Bayesian computation, advanced data structure for complex problems, and parallel processing. Complex programming problems related to statistical modeling and inference are studied.

Course Information from University Catalog

Not Repeatable


Introduces high level simulations and algorithms for complex statistical problems using C. Topics include: pointers, arrays, random number generation, iterative numerical algorithms, sorting, matrix operation, numerical integration and Bayesian computation, advanced data structure for complex problems, and parallel processing. Complex programming problems related to statistical modeling and inference are studied.

When Offered: Spring

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

STAT 652 or CSI 672, or permission of instructor.

Instructor Information
Expertise