Open AccessFitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation–Maximization (SAEM) Algorithm
Author(s) -
SyMiin Chow,
Zhaohua Lu,
Andrew Sherwood,
Hongtu Zhu
Publication year - 2016
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/tbfj-5b56
Subject(s) - stochastic approximation , nonlinear system , ordinary differential equation , stochastic differential equation , maximization , mathematics , expectation–maximization algorithm , mathematical optimization , differential (mechanical device) , computer science , algorithm , differential equation , maximum likelihood , mathematical analysis , statistics , physics , asynchronous communication , computer network , quantum mechanics , thermodynamics
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