A general estimation theory for finite populations based on superpopulation models is presented. The theory is applied to normal populations and its relations to the classical theory are discussed.

New relations are derived for Bayesian estimation of parameters in nonlinear multiresponse models. Modal and interval estimates are provided for the parameter vector θ of a multiresponse expectation ...

We propose a new approach for estimating operational risk models under the loss distribution approach from historically observed losses. Our method is based on extreme value theory and, being Bayesian ...

Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...