The main aim of the present work is to establish connections between the theory of dynamic programming and the statistical decision theory. The paper deals with a nonMarkovian dynamic programming ...

Decision analysis represents a practical framework for environmental decision making in the face of uncertainty. Aa Aa Aa The conservation of species and ecosystems represents a fundamental challenge ...

A topic in the theory of statistics, such as probability theory, Bayesian statistical theory, statistical decision theory, martingales and stochastic integrals. The fourth number of the course code ...

Green, Jerry R. "Statistical Decision Theory Requiring Incentives for Information Transfer." In The Economics of Information and Uncertainty, edited by J. J. McCall. Chicago: University of Chicago ...

Statistical decision theory, whether based on Bayesian principles or other concepts such as minimax or admissibility, relies on minimizing expected loss or maximizing expected utility. Loss and ...