MATH 285A: INTRODUCTION TO STOCHASTIC PROCESSES (SPRING 2001)
The last class meeting will be on Wednesday, June 13, 4.30-6.30 p.m. in Peterson Hall 102.

PROJECTS

  • Joseph Drish, Dept. of Computer Science and Engineering
    Adaptive probabilistic networks with hidden variables

  • Jonathan Nelson, Dept of Cognitive Science
    Towards a stochastic theory of saccadic eye movement

  • David Wipf, Dept. of Electrical and Computer Engineering
    The Theory and Implementation of Hidden Markov Models

  • Brad Paye, Dept. of Economics
    Bayesian Statistics and the Gibbs Sampler

  • Joshua Cooper and Kimberly Moerman, Dept. of Mathematics
    A Markov model for the random movement of lattice holes

  • Waileung Chan, MAE Dept.
    Random walks in $R^n$ with and without barriers