Statistics Seminar

Su Mo Tu We Th Fr Sa
26 27 28 29 30 31 1
2 3 4 5 6 7 8
9 10 11 12 13 14 15
16 17 18 19 20 21 22
23 24 25 26 27 28 29
30 1 2 3 4 5 6
Date/Time:Monday, 03 Nov 2014 from 4:10 pm to 5:00 pm
Location:Snedecor 3105
Cost:Free
URL:www.stat.iastate.edu
Contact:Jeanette La Grange
Phone:515-294-3440
Channel:College of Liberal Arts and Sciences
Categories:Lectures
Actions:Download iCal/vCal | Email Reminder
"Properties of optimizations used in penalized Gaussian likelihood precision matrix estimation", Adam Rothman, School of Statistics, University of Minnesota, Minneapolis

We establish a necessary and sufficient condition for the existence of the precision matrix estimate obtained by minimizing the negative Gaussian log-likelihood plus a weighted Bridge penalty. This condition enables us to connect the literature on Gaussian graphical models to the literature on penalized Gaussian likelihood. A new algorithm to solve this optimization with the weighted Ridge penalty is developed and its convergence is established. This algorithm combines the majorize minimize principle with minorize minimize acceleration attempts. Numerical experiments show cases where this algorithm is superior to its competitor.