Title
On the optimality of likelihood ratio test for prospect theory based binary hypothesis testing.
Abstract
In this letter, the optimality of the likelihood ratio test (LRT) is investigated for binary hypothesis testing problems in the presence of a behavioral decision-maker. By utilizing prospect theory, a behavioral decision-maker is modeled to cognitively distort probabilities and costs based on some weight and value functions, respectively. It is proved that the LRT may or may not be an optimal deci...
Year
DOI
Venue
2018
10.1109/LSP.2018.2877048
IEEE Signal Processing Letters
Keywords
Field
DocType
Testing,Bayes methods,Minimization,Random processes
Decision rule,Mathematical optimization,Optimal decision,Likelihood-ratio test,Prospect theory,Minification,Binary hypothesis testing,Mathematics,Bayesian probability
Journal
Volume
Issue
ISSN
25
12
1070-9908
Citations 
PageRank 
References 
1
0.37
0
Authors
2
Name
Order
Citations
PageRank
Sinan Gezici168266.18
Pramod K. Varshney26689594.61