STAT-4444: Applied Bayesian Statistics

Description: Introduction to Bayesian methodology with emphasis on applied statistical problems: data displaying, prior distribution elicitation, posterior analysis, models for proportions, means and regression.

Pathways: N/A

Course Hours: 3 credits

Prerequisites: (CMDA-2005 or MATH-2204 or MATH-2406H or MATH-2204H or MATH-2224H or MATH-2224) and (CMDA-2006 or STAT-3104 or STAT-4105 or STAT-4705) and (STAT-3006 or STAT-3616 or STAT-4706)

Required By: CMDA-4274, STAT-4274

Corequisites: N/A

Crosslist: N/A

Repeatability: N/A

Last 3 Years

Last 5 Years

Last 10 Years

All

Sections Taught: 18

Average GPA: 3.56 (A-)

Strict A Rate (No A-) : 52.13%

Average Withdrawal Rate: 1.10%


Leanna L House	2019	61.3%	27.9%	7.5%	1.2%	0.0%	2.0%	3.48	8
Hamdy F Mahmoud	2024	70.7%	24.1%	3.1%	1.5%	0.0%	0.6%	3.66	6
Golde I Holtzman	2008	62.2%	24.4%	10.6%	0.0%	2.8%	0.0%	3.46	2
David Higdon	2024	86.6%	8.9%	4.4%	0.0%	0.0%	0.0%	3.78	1
Keying Ye	2005	76.5%	17.6%	5.9%	0.0%	0.0%	0.0%	3.67	1

STAT-4444: Applied Bayesian Statistics

Grade Distribution Over Time