Introductory Lectures on Stochastic Population Systems
Donald A. Dawson

TL;DR
This paper reviews fundamental stochastic population models such as branching processes, population genetics, and measure-valued models like superprocesses and Fleming-Viot processes, along with analysis methods.
Contribution
It offers a comprehensive introduction to stochastic population models and their analytical techniques, bridging basic models and advanced measure-valued processes.
Findings
Provides foundational understanding of stochastic population models.
Introduces measure-valued models like superprocesses and Fleming-Viot processes.
Summarizes key analytical methods for these models.
Abstract
These notes provide a review of basic stochastic population models including branching processes and models of population genetics. Measure-valued population models including superprocesses and Fleming-Viot processes are also introduced together some basic methods for their analysis.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Evolution and Genetic Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models
