Resources (1-4 of 4)

1. 1-027-StochasticProcesses-ModelingScenario

   24 Jan 2024 | Teaching Materials | Contributor(s):

   By Brian Winkel

   SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

   We build the infinite set of first order differential equations for modeling a stochastic process, the so-called birth and death equations. We will only need to use integrating factor solution...

   https://qubeshub.org/publications/2975/?v=3

2. 1-027-StochasticProcesses-ModelingScenario

   15 Oct 2023 | Teaching Materials | Contributor(s):

   By Brian Winkel

   SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

   We build the infinite set of first order differential equations for modeling a stochastic process, the so-called birth and death equations. We will only need to use integrating factor solution...

   https://qubeshub.org/publications/2975/?v=2

3. 1-039-StochasticPopModels-ModelingScenario

   25 May 2022 | Teaching Materials | Contributor(s):

   By Daniel Flath

   Macalester College, St. Paul Mn USA

   We develop strategies for creating a population model using some simple probabilistic assumptions. These assumptions lead to a system of differential equations for the probability that a system is...

   https://qubeshub.org/publications/3301/?v=1

4. 1-027-StochasticProcesses-ModelingScenario

   04 May 2022 | Teaching Materials | Contributor(s):

   By Brian Winkel

   SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

   We build the infinite set of first order differential equations for modeling a stochastic process, the so-called birth and death equations. We will only need to use integrating factor solution...

   https://qubeshub.org/publications/2975/?v=1