Trouble is, they require that I provide a posterior log-likelihood function, which is a simple enough requirement that seems to be giving me problems for some reason.<BR><BR>I know it should be ...

There are three SAS procedures that enable you to do maximum likelihood estimation of parameters in an arbitrary model with a likelihood function that you define: PROC MODEL, PROC NLP, and PROC IML.

That is, the variance of Y is , where >1. With overdispersion, methods based on quasi-likelihood can be used to estimate the parameters and .A quasi-likelihood function is specified by its associated ...

Prediction models help determine likelihood of erectile function after treatment for prostate cancer. ScienceDaily . Retrieved May 2, 2025 from www.sciencedaily.com / releases / 2011 / 09 ...