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 ...

and is the normal probability function. This is the likelihood function for a binary probit model. This likelihood is strictly positive so that you can take a square root of and use this as your ...

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.

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 ...

Assisting a patient while barged to prevent infection. Research documents both direct and indirect effects of the COVID-19 pandemic on kidney health. Rapid kidney function decline often follows ...