Steady states of lattice population models with immigration-Reference-Cited by-同舟云学术

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Steady states of lattice population models with immigration

Published:2020-06-12 Issue:2 Volume:28 Page:63-80
ISSN:0889-8480
Container-title:Mathematical Population Studies
language:en
Short-container-title:Mathematical Population Studies

Author:

Chernousova Elena¹,Feng Yaqin²,Hryniv Ostap³,Molchanov Stanislav⁴⁵,Whitmeyer Joseph⁶

Affiliation:

1. Department of Mathematical Basics of Control, Moscow Institute of Physics and Technology (State University) , Dolgoprudny, Russia

2. Department of Mathematics, Ohio University , Athens, USA

3. Department of Mathematical Sciences, Durham University , UK

4. National Research University, Higher School of Economics , Moscow, Russia

5. Department of Mathematics and Statistics, University of North Carolina at Charlotte , USA

6. Department of Sociology, University of North Carolina at Charlotte , USA

Funder

Russian Science Foundation

Publisher

Informa UK Limited

Subject

General Agricultural and Biological Sciences,Geography, Planning and Development,Demography

Link

https://www.tandfonline.com/doi/pdf/10.1080/08898480.2020.1767411

Reference19 articles.

1. Population model with immigration in continuous space

2. Steady state and intermittency in the critical branching random walk with arbitrary total number of offspring

3. Branching random walks and their applications for epidemic modeling

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1. Branching Random Walks on $$\mathbb {Z}$$ with One Particle Generation Center and Symmetrically Located Absorbing Sources;Methodology and Computing in Applied Probability;2024-08-09

2. Structure of the Population of Particles for a Branching Random Walk in a Homogeneous Environment;Proceedings of the Steklov Institute of Mathematics;2022-03

3. Структура популяции частиц для ветвящегося случайного блуждания в однородной среде;Trudy Matematicheskogo Instituta imeni V.A. Steklova;2022-03

4. Keeping random walks safe from extinction and overpopulation in the presence of life-taking disasters;Mathematical Population Studies;2021-10-25

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