STAT 341 Computational Statistics and Data AnalysisStatistics (2009-2010)
Approximation and optimization of noisy functions. Simulation from univariate and multivariate distributions, multivariate normal distribution, mixture distributions and introduction to Markov Monte Carlo. Introduction to supervised statistical learning including discrimination methods. [Offered: F,S]
Prerequisites: MATH 237 or 247, STAT 231 or 241; Not open to General Mathematics students.
Antirequisites: CS 437/STAT 340
Notes: (Cross-listed with CM 361)
Sections For Fall 2009
| Lectures | ||||||||
| Professor | Time | Capacity | Sec | Assoc | Rel 1 | Rel 2 | Location | Code |
| Fan, Guangzhe | 10:00-11:20 M T W Th F | 19/20 | 1 | 1 | MC 4040 | 5213 | ||
| Held With: CM 361 | ||||||||
Sections For Spring 2009
| Lectures | ||||||||
| Professor | Time | Capacity | Sec | Assoc | Rel 1 | Rel 2 | Location | Code |
| Ghodsi Boushehri, Ali | 10:00-11:20 M T W Th F | 14/35 | 1 | 1 | MC 2035 | 3334 | ||
| Held With: CM 361 | ||||||||