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Virginia Tech | STAT 6494

#### 9 sample documents related to STAT 6494

• Virginia Tech STAT 6494
Syllabus for STAT6494 Adv Topics Bayesian Statistics, Spring 2009 10:15am-11:05am, MWF, HUTCH 207 Instructor: Inyoung Kim Oce: 410A Hutcheson Phone: 540-231-5366 Email: inyoungk@vt.edu Homepage http:/www.stat.vt.edu/inyoungk/ Oce Hours: MW, 1:30-3:00

• Virginia Tech STAT 6494
STAT6494: Adv. Topics Bayesian Statistics Inyoung Kim Outline 1 The Bayesian Paradigm The Bayesian Paradigm Statisticians typically try to interpret data via so called statistical models. This involve assumed mathematical relationship between obs

• Virginia Tech STAT 6494
STAT6494: Adv Topics Bayesian Statistics Inyoung Kim Outline 1 Summary of specifying priors and summarizing posterior information Prior dist: Noninformative priors Roughly speaking, a Prior dist. is noninformative if the prior is at relative to t

• Virginia Tech STAT 6494
STAT6494: Adv Topics Bayesian Statistics Inyoung Kim Outline 1 Bayesian Analysis of the Linear Model 2 Bayesian Model Selection 3 Model Checking for the linear model Bayesian Model Selection We will rst discuss the problem of variable subset

• Virginia Tech STAT 6494
STAT6494: Adv Topics Bayesian Statistics Inyoung Kim Outline 1 Large Sample Methods 2 Bayesian Central Limit Theorem 3 Laplaces Method Large Sample Methods In most Bayesian inference problems, the posterior distribution of the parameters of i

• Virginia Tech STAT 6494
Prior Elicitation, Variable Selection and Bayesian Computation for Logistic Regression Models Ming-Hui Chen; Joseph G. Ibrahim; Constantin Yiannoutsos Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 61, No. 1. (1999

• Virginia Tech STAT 6494
A Predictive Approach to the Analysis of Designed Experiments Joseph G. Ibrahim; Purushottam W. Laud Journal of the American Statistical Association, Vol. 89, No. 425. (Mar., 1994), pp. 309-319. Stable URL: http:/links.jstor.org/sici?sici=0162-1459%2

• Virginia Tech STAT 6494
Using Historical Controls to Adjust for Covariates in Trend Tests for Binary Data Joseph G. Ibrahim; Louise M. Ryan; Ming-Hui Chen Journal of the American Statistical Association, Vol. 93, No. 444. (Dec., 1998), pp. 1282-1293. Stable URL: http:/links

• Virginia Tech STAT 6494
Predictive Model Selection Purushottam W. Laud; Joseph G. Ibrahim Journal of the Royal Statistical Society. Series B (Methodological), Vol. 57, No. 1. (1995), pp. 247-262. Stable URL: http:/links.jstor.org/sici?sici=0035-9246%281995%2957%3A1%3C247%3A