A description of how to do parameter inference for stochastic differential equation models, often used for modelling biochemical processes. The methods described in this chapter represent the state-of-the-art in this area.
Attributed to:
Integrative modelling of stochasticity noise heterogeneity and measurement error in the study of model biological systems
funded by
BBSRC
Abstract
No abstract provided
Bibliographic Information
Type: Book Chapter
Book Title: Learning and Inference in Computational Systems Biology (2010)
Page Reference: 253-275
ISBN: 9780262013864