STAT 430

Fall 2015 All Classes

All Classes

Credit: 3 OR 4 hours.

Formulation and analysis of mathematical models for random phenomena; extensive involvement with the analysis of real data; and instruction in statistical and computing techniques as needed.

3 undergraduate hours. 4 graduate hours. May be repeated with approval. Prerequisite: STAT 410 or STAT 420; or consent of instructor.

Section Status updates every 10 minutes.
STAT 430 class schedule data for fall 2015
CRN Type Section Time Day Location Instructor Section Details
60255
Lecture-Discussion
M1G
12:30PM -1:50PM
TR
32 Psychology Building
Park, T
Part of Term:
1
Date Range:
08/24/15-12/09/15
Credit:
4 hours
Section Title:
Applied Bayesian Methods
Section Info:
Introduction to the concepts and methodology of Bayesian statistics, for students with fundamental knowledge of mathematical statistics. Topics include Bayes' rule, prior and posterior distributions, conjugacy, Bayesian point estimates and intervals, Bayesian hypothesis testing, noninformative priors, practical Markov chain Monte Carlo, hierarchical models and model graphs, and more advanced topics as time permits. Prerequisites: STAT 410 and knowledge of R. Early registration is restricted to Statistics Graduate Students. This restriction is expected to be removed sometime during the business day May 5, 2015. Some seats are reserved for incoming Statistics graduate students. If you receive a Reserved-Closed error, that means the course is full except for the reserved seats.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
60257
Lecture-Discussion
M1U
12:30PM -1:50PM
TR
32 Psychology Building
Park, T
Part of Term:
1
Date Range:
08/24/15-12/09/15
Credit:
3 hours
Section Title:
Applied Bayesian Methods
Section Info:
Introduction to the concepts and methodology of Bayesian statistics, for students with fundamental knowledge of mathematical statistics. Topics include Bayes' rule, prior and posterior distributions, conjugacy, Bayesian point estimates and intervals, Bayesian hypothesis testing, noninformative priors, practical Markov chain Monte Carlo, hierarchical models and model graphs, and more advanced topics as time permits. Prerequisites: STAT 410 and knowledge of R. Early registration is restricted to students majoring in Statistics or Statistics & Computer Science. This restriction is expected to be removed sometime during the business day May 5, 2015.
Restriction(s):
Restricted to Undergrad - Urbana-Champaign.
55664
Lecture-Discussion
S1G
3:00PM -3:50PM
MWF
1090 Lincoln Hall
Douglas, J
Part of Term:
1
Date Range:
08/24/15-12/09/15
Credit:
4 hours
Section Title:
Applied Multivariate Analysis
Section Info:
Topics will include factor analysis. principal components analysis, cluster analysis, canonical correlation analysis, discriminant analysis, and other exploratory strategies for analyzing large multivariate data sets. Prerequisites: STAT 410 and MATH 415 Early registration is restricted to Statistics Graduate Students. This restriction is expected to be removed sometime during the business day May 5, 2015. Some seats are reserved for incoming Statistics graduate students. If you receive a Reserved-Closed error, that means the course is full except for the reserved seats.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
55666
Lecture-Discussion
S1U
3:00PM -3:50PM
MWF
1090 Lincoln Hall
Douglas, J
Part of Term:
1
Date Range:
08/24/15-12/09/15
Credit:
3 hours
Section Title:
Applied Multivariate Analysis
Section Info:
Topics will include factor analysis. principal components analysis, cluster analysis, canonical correlation analysis, discriminant analysis, and other exploratory strategies for analyzing large multivariate data sets. Prerequisites: STAT 410 and MATH 415 Early registration is restricted to students majoring in Statistics or Statistics & Computer Science. This restriction is expected to be removed sometime during the business day May 5, 2015.
Restriction(s):
Restricted to Undergrad - Urbana-Champaign.
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