CitedEvidence
User Settings

Rate Distribution Modeling for Structured Heterogeneous Populations

Ben Fitzpatrick-1994-01-01-Birkhäuser Basel eBooks
3

TL;DRAbstract

We propose a modeling strategy for structured populations, in which individuals are not necessarily identical. The heterogeneity is obtained by modeling the population as comprising homogeneous subpopulations. By using a vector measure, we combine the subpopulations with an abstract integral to obtain the density of the population. We show that this approach leads to a semigroup formulation of the dynamics in a space of vector measures, and we develop some estimation methods for determining the initial structure from observed data.

Chat with Paper

AI Agents for this Paper

We propose a modeling strategy for structured populations, in which individuals are not necessarily identical. The heterogeneity is obtained by modeling the population as comprising homogeneous subpopulations. By using a vector measure, we combine the subpopulations with an abstract integral to obtain the density of the population. We show that this approach leads to a semigroup formulation of the dynamics in a space of vector measures, and we develop some estimation methods for determining the initial structure from observed data.

Keywords

HomogeneousMeasure (data warehouse)PopulationDistribution (mathematics)MathematicsSemigroupComputer scienceSpace (punctuation)

Chat

Click to start Chat