Modeling Formalism
Displaying: 3 Found: 9 Total: 31
Markov Model
Description
A stochastic model, that models a process where the state depends on previous states in a non-deterministic way, and assumes the Markov property: the conditional probability distribution of future states of the process (conditional on both past and present values) depends only upon the present state; that is, given the present, the future does not depend on the past.
Formats
Ordinary Differential Equation Model
Description
Model using equations containing a function of one independent variable and its derivatives.
Formats
- Systems Biology Markup Language Level 3 Version 1 Core
- CellML 1.1
- Pharmacometrics Markup Language Version 0.6
Examples
- Approximate model of cooperative activation and crossbridge cycling in cardiac muscle using ordinary differentialequations.
- Integrating life history and cross-immunity into the evolutionary dynamics of pathogens.
- Vaccination and the dynamics of immune evasion
- A mathematical model of the human menstrual cycle for the administration of GnRH analogues.
Simulation Tools
Links
Ontology
Partial Differential Equation Model
Description
Model using differential equations that contains unknown multivariable functions and their partial derivatives.
