Bayesian estimation methods form a dynamic branch of statistical inference, utilising Bayes’ theorem to update probabilities in light of new evidence. This framework combines prior knowledge with ...

In genetic analysis, there are often competing explanations for the same data. Sophisticated mathematical models have been developed that can encapsulate these problems in terms of parameters that ...

A study is made of the simple empirical Bayes estimators proposed by Robbins (1956). These estimators are compared with `best' conventional estimators in terms of ...

Vol. 80, Special issue In Celebration of the 125th Birth Anniversary of Prasanta Chandra Mahalanobis (December 2018), pp. S70-S83 (14 pages) We consider the problem of simultaneous estimation of two ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...