In this paper, we obtained some Bayesian estimators of the parameter of an Inverse Rayleigh distribution under three different loss functions, represented by Quadratic loss function, Quasi-quadratic loss function and Generalized square error loss function. In order to get a better understanding...

The paper evaluates the usefulness of a nonparametric approach to Bayesian inference by presenting two applications. The approach is due to Ferguson (1973, 1974) and Rubin (1981). Our first application considers an educational choice problem. We focus on obtaining a predictive distribution for...

The Probability of Informed Trading (PIN) is a widely used indicator of information asymmetry risk in the trading of securities. Its estimation using maximum likelihood algorithms has been shown to be problematic, resulting in biased estimates, especially in the case of liquid and frequently...