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 ...

The Accounting Review is the premier journal for publishing articles reporting the results of accounting research and explaining and illustrating related research methodology. The scope of acceptable ...

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 ...

Description: Formulation of the general statistical decision problem; foundations, utility, and prior information. Bayesian analysis including inference, decision making, empirical and hierarchical ...

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 ...

BOSTON, MA—Howard Raiffa, Harvard University’s Frank Plumpton Ramsey Professor of Managerial Economics Emeritus (a joint endowed chair at Harvard Business School and Harvard Kennedy School), who was ...

This course is available on the BSc in Accounting and Finance, BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Mathematics with Economics and BSc in Statistics with ...

"The brain reaches a decision by combining samples of evidence in much the way a good statistician would," says a researcher. He demonstrates this theory by monitoring the decision-making process in ...