Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guaranteed optimal performance that will improve further if the worst case is not realized. The applications considered are drawn from finance, but the design and algorithms presented are equally applicable to problems of economic policy, engineering design, and other areas of decision making. Critically, worst-case design addresses not only Armageddon-
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
JSTOR
Stock Number
22573/cttv1r1
OTHER EDITION IN ANOTHER MEDIUM
Title
Algorithms for worst-case design and applications to risk management.