A Bayesian Approach to Nonlinear Random Effects Models
- 1 December 1985
- journal article
- Published by JSTOR in Biometrics
- Vol. 41 (4) , 1015-23
- https://doi.org/10.2307/2530972
Abstract
Nonlinear random effects models are considered from the Bayesian point of view. The method of analysis follows closely that of Lindley and Smith (1972, Journal of the Royal Statistical Society, Series B 34, 1-42). The numerical method is related to the EM algorithm.Keywords
This publication has 0 references indexed in Scilit: