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Erschienen in:
Buchtitelbild

2013 | OriginalPaper | Buchkapitel

1. Introduction to Stochastic Models in Biology

verfasst von : Susanne Ditlevsen, Adeline Samson

Erschienen in: Stochastic Biomathematical Models

Verlag: Springer Berlin Heidelberg

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Abstract

This chapter is concerned with continuous time processes, which are often modeled as a system of ordinary differential equations (ODEs). These models assume that the observed dynamics are driven exclusively by internal, deterministic mechanisms. However, real biological systems will always be exposed to influences that are not completely understood or not feasible to model explicitly. Ignoring these phenomena in the modeling may affect the analysis of the studied biological systems. Therefore there is an increasing need to extend the deterministic models to models that embrace more complex variations in the dynamics. A way of modeling these elements is by including stochastic influences or noise. A natural extension of a deterministic differential equations model is a system of stochastic differential equations (SDEs), where relevant parameters are modeled as suitable stochastic processes, or stochastic processes are added to the driving system equations. This approach assumes that the dynamics are partly driven by noise.

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Nächstes Kapitel One-Dimensional Homogeneous Diffusions
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Metadaten
Titel
Introduction to Stochastic Models in Biology
verfasst von
Susanne Ditlevsen
Adeline Samson
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Stochastic Biomathematical Models

Print ISBN: 978-3-642-32156-6

Electronic ISBN: 978-3-642-32157-3

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-32157-3_1