Stanford
      University Stats 350
Probabilistic Concepts in Statistical Physics and Information Theory
Winter 2007–2008

Course Information

                                               
                                               

Class Times and Locations

  • Monday and Wednesday, 11:00AM-12:15PM in Room: Sequoia 200

Course Description

Concentration of measure techniques, transportation inequalities. Mean field models for disordered systems: infinite size limit, computing the free energy. Mean field equations and Stein's method. Ultrametricity, probability cascades and particle systems. Interpolation techniques and infinite size limit in information theory and coding.

References

Prerequisites

STAT310A or equivalent.

What is the figure on the right ?

Distance matrix among 1024 equilibrium configuration of the Sherrington-Kirkpatrick spin glass model (big square). Four reorderings of rows/columns with thresholding (small squares).

Instructors

Grading

Registered students are invited to form small groups of 2-4 peoples, and study one or more papers in the list below (together with references or further developments if useful). Each of the students will then present a short lecture (20 minutes) based on this material. Lectures by students in the same group should form a coherent sequence.

Material for projects