Juliana I. Consul

Incorporating Prior Beliefs into the Construction of Prior Distribution of the Parameters: A: A Survival Analysis Approach

Bayesian inference requires the combination of prior experience and the observed data (in the form of the likelihood). There is the need to discuss the specification of prior information about the model parameters. This research has built a structure for the joint prior distribution depending on the type of covariate in the context of a general lin...