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Instructor Class Description

Time Schedule:

Finn Lindgren
STAT 593
Seattle Campus

Special Topics in Statistics

Distribution-free inference, game and decision theory, advanced theory of estimation (including sequential estimation), robustness, advanced probability theory, stochastic processes or empirical processes. Prerequisite: permission of instructor. Offered: Sp.

Class description

Statistical Image Analysis: Bayesian methods for stochastic modelling, classification and reconstruction. Markov fields, Gibbs distributions, deformable templates, such as Snakes. Correlation structures, multivariate techniques, analysis of discrimination. Simulation methods for stochastic inference (MCMC, etc.). Stochastic remote sensing and spatial statistics.

Student learning goals

General method of instruction

Recommended preparation

Class assignments and grading


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Additional Information
Last Update by Finn Lindgren
Date: 03/26/2007