Bayes Linear Bayes Networks with an Application to Prognostic Indices

Bayes linear kinematics and graphical models provide an extension of methods so that full conditional updates may be combined with belief adjustment. The use eliminates the problem non-commutativity which was observed in earlier work involving moment-based updates. In this paper we describe approach investigate its application to rapid computation prognostic index values survival when a patient’s only available for subset covariates. We consider covariates various kinds introduce non-conjugate marginal apply technique example concerning patients non-Hodgkin’s lymphoma, treat predictor lifetime distribution as latent variable expectation, given whatever are available, index.