STAT 529: Applied Decision Theory And Bayesian Statistics

3 credits

Spring 2024 Lecture Upper Division
Data from
Spring 2024
last updated 8/23/2024
Spring 2024 Instructors:

Bayesian and decision-theoretic formulation of problems; construction of utility functions and quantifications of prior information; methods of Bayesian decision and inference, with applications; empirical Bayes; combination of evidence; Bayesian design and sequential analysis; comparisons of statistical paradigms.

Course STAT 529 from Purdue University - West Lafayette.

Prerequisites

One of
Student attribute GR

Restrictions

NOSophomores (45-59 credits), Sophomores (30-44 credits), Freshmen (0-14 credit...show more

GPA by professor

T

Anirban Dasgupta

001
12:00 pm
Lec
R

Anirban Dasgupta

001
12:00 pm
Lec

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STAT 529: Applied Decision Theory And Bayesian Statistics