Skip to main content
Penn State Logo
QuantDev Methodology Logo
  • Home
  • About
  • People
  • Consulting
  • Projects
  • Publications
  • Resources
  • Tutorials
  • Events
  • Admission
  • QuantDev X
  • SSRI
  1. Home
  2. Resources

Stochastic approximation expectation-maximization algorithm for fitting nonlinear differential equation models

This code accompanies the paper "Fitting nonlinear differential equation models with random effects and unknown initial conditions using the stochastic approximation expectation-maximization (SAEM) algorithm" (Chow, Lu, Sherwood, & Zhu, 2016)

Description

Code authored by Sy-Miin Chow and Zhaohua Lu.

Download

SAEM.zip (1.54 MB)

Contributors

Sy-Miin Chow
Zhao-Hua Lu

Related Project

Developing Dynamic Tools for Analyzing Irregularly Spaced Longitudinal Affect Data

SSRI Logo

Contact QuantDev

(814) 867-2131
symiin@psu.edu
422 BBH Building, University Park, PA 16802


About this Website

Sitemap
Questions about this website
IT Help
Admin Login

Penn State

Privacy | Non-discrimination | Equal Opportunity | Accessibility | Copyright

© 2025 QuantDev Methodology. All rights reserved.