PHY 28B
Natural Computation and Self-Organization:
The Physics of Information Processing in Complex Systems

Jim Crutchfield
chaos@ucdavis.edu; http://csc.ucdavis.edu/~chaos

Spring
WWW: http://csc.ucdavis.edu/~chaos/courses/ncaso/

Lecture 34: Bayesian Methods for Structural Inference
Chris Strelioff, Physics, UC Davis

Reading: CMR article BSI.

Topics:

  1. Inferring structure (aka model topology)
    1. Enumeration and model comparison for topological ϵ-machines
  2. Example 3: Infer structure of EvenOdd process
  3. Example 4: Survey of inferring Golden Mean, Even, Simple Nonunifilar Source
  4. Complications: Out-of-class, nonstationary processes