Easy to compute exact maximum likelihood estimators (MLEs) for parameters of a stochastic bivariate Itô Susceptible-Infected-Recovered (SIR) model and for parameters of an extension that treats undercounting are presented here

Combining judgmental assessments using a classical probabilistic hierarchical model helps insure logical coherence of probability assessments by geologists of petroleum volumes in multiple, probabilistically dependent assessment units and allows easy study of how the predictive distribution of...

In three or more dimensions it is well known that the usual point estimator for the mean of a multivariate normal distribution is minimax but not admissible with respect to squared Euclidean distance loss. This paper gives sufficient conditions on the prior distribution under which the Bayes...