STA 360/601: Bayesian and Modern Statistics
Lecture 6: Gaussian (normal) models
David Dunson
Department of Statistical Science, Duke University
Friday, September 14, 2012
Normal distribution - denition
For a random variable Y N (, 2 ), the pdf is
f (y |,
STA 360/601: Bayesian and Modern Statistics
Lecture 5: Simple event occurrence models & normal models
David Dunson
Department of Statistical Science, Duke University
Wednesday, September 12, 2012
Event time/location data
Recall the following event occurre
STA 360/601: Bayesian and Modern Statistics
Lecture 4: One-Parameter Models (Continued)
David Dunson
Department of Statistical Science, Duke University
Friday, September 7, 2012
Posterior Intervals
Summary estimates of
Names:
Credible intervals, (Bayesia
STA 360/601: Bayesian and Modern Statistics
Lecture 3: Joint Distributions & One-Parameter Models
David Dunson
Department of Statistical Science, Duke University
Wednesday, September 5, 2012
Continuous Joint Distributions
Suppose we have two random variab
STA 360/601: Bayesian and Modern Statistics
Lecture 1: Introduction to Bayes & Probability Review
David Dunson
Department of Statistical Science, Duke University
Friday, August 31, 2012
Comments on priors
The prior quanties your initial uncertainty in - t
STA 360/601: Bayesian and Modern Statistics
Lecture 1: Overview of Course & Introduction to Bayes
David Dunson
Department of Statistical Science, Duke University
Wednesday, August 29, 2012
Big Picture
Instructor: David Dunson (dunson@duke.edu)
TAs: Dougla