Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data

Onureena Banerjee

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2007-151
December 14, 2007

http://www.eecs.berkeley.edu/Pubs/TechRpts/2007/EECS-2007-151.pdf

Advisor: Laurent El Ghaoui


BibTeX citation:

@phdthesis{Banerjee:EECS-2007-151,
    Author = {Banerjee, Onureena},
    Title = {Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data},
    School = {EECS Department, University of California, Berkeley},
    Year = {2007},
    Month = {Dec},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2007/EECS-2007-151.html},
    Number = {UCB/EECS-2007-151}
}

EndNote citation:

%0 Thesis
%A Banerjee, Onureena
%T Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
%I EECS Department, University of California, Berkeley
%D 2007
%8 December 14
%@ UCB/EECS-2007-151
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2007/EECS-2007-151.html
%F Banerjee:EECS-2007-151