TY - GEN
T1 - Extremal distributions in information theory and hypothesis testing
AU - Pandit, Charuhas
AU - Huang, Jianyi
AU - Meyn, Sean
AU - Veeravalli, Venu
PY - 2004
Y1 - 2004
N2 - Hypothesis testing was performed in order to compute channel capacity in information theory. Two general classes of optimization such as convex and linear programs were considered, and constrained set was defined by a finite number of moment constraints. It was assumed that the constraints were such that each π ∈P was a probability distribution, and equality constraints were also considered using the same notation. It was possible to obtain worst-case bounds on the probability of a given set, and overall probability distributions in a given moment class.
AB - Hypothesis testing was performed in order to compute channel capacity in information theory. Two general classes of optimization such as convex and linear programs were considered, and constrained set was defined by a finite number of moment constraints. It was assumed that the constraints were such that each π ∈P was a probability distribution, and equality constraints were also considered using the same notation. It was possible to obtain worst-case bounds on the probability of a given set, and overall probability distributions in a given moment class.
UR - http://www.scopus.com/inward/record.url?scp=19544369626&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=19544369626&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:19544369626
SN - 0780387201
SN - 9780780387201
T3 - 2004 IEEE Information Theory Workshop - Proceedings, ITW
SP - 76
EP - 81
BT - 2004 IEEE Information Theory Workshop - Proceedings, ITW
T2 - 2004 IEEE Information Theory Workshop - Proceedings, ITW
Y2 - 24 October 2004 through 29 October 2004
ER -