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Cornell University

Probabilistic Models For Population Dynamics

Abstract

dc:description.abstract

Two interacting particle systems that serve as probabilistic models for population dynamics are studied in this work. The quadratic contact process is a stochastic spatial model for a population in which each individual has two parents and the dynamics are governed by random birth and death rates and an offspring distribution kernel. Another population model, due to Bolker and Pacala, models competition of different species in a forest. In both cases, we are interested in proving the existence of nontrivial stationary distributions.

Degree

thesis:*
Name thesis:degree_name
Ph. D., Mathematics
Level thesis:degree_level
Doctor of Philosophy
Discipline thesis:degree_discipline
Mathematics
Grantor
Cornell University
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bessonov, Mariya
Committee members dc:contributor.committeemember
  • Saloff-Coste, Laurent Pascal
  • Gross, Leonard
  • Molchanov, Stanislav A

Subjects

dc:subject × 1

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1813/34311
OAI identifier oai:identifier
oai:ecommons.cornell.edu:1813/34311

Chain of custody

source
Harvested from
Cornell University
Base URL
ecommons.cornell.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Bessonov, Mariya. Probabilistic Models For Population Dynamics. Doctor of Philosophy thesis, Cornell University, 2013. https://hdl.handle.net/1813/34311