Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation–Maximization (SAEM) Algorithm
Crossref DOI link: https://doi.org/10.1007/s11336-014-9431-z
Published Online: 2014-11-22
Published Print: 2016-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chow, Sy-Miin
Lu, Zhaohua
Sherwood, Andrew
Zhu, Hongtu
Text and Data Mining valid from 2014-11-22