IOWA_STATE · STAT · COURSE SHEET
STAT 6644See offeringsHas prerequisites
Advanced Bayesian Theory
CT Score
1500
#0 of 0 in STAT
Difficulty
—/10
Workload
—h/wk
Median grade
—
from grade distribution
Would take again
—
n = 0 verified
Grade distribution
No distribution published for this course.
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
No section data for this term yet.
In the tree
STAT 5644 and STAT 6542Exchangeability, parametric models, consistency and asymptotic normality of posterior distributions, posterior robustness, selection of priors using formal rules, improper priors and posterior propriety, Bayes factors, model selection, MCMC theory, irreducibility, Harris recurrence, regeneration, minorization and drift conditions, ergodicity, central limit theorems, Gibbs samplers, Metropolis Hastings samplers, techniques for speeding up convergence of certain MCMC algorit→STAT 6644→unlocks 0 courses
No mapped courses require this one yet. See on the map →
Study groups
0 active🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.