Stochastic Modeling by Nicolas Lanchier

Stochastic Modeling by Nicolas Lanchier

Additional emphasis is placed on minimal models that have been used historically to develop new mathematical techniques in the field of stochastic processes: the logistic growth process, the Wright Fisher model, Kingmans coalescent, percolation models, the contact process, and the voter model.

“Stochastic Modeling by Nicolas Lanchier is an introduction to stochastic processes accessible to advanced students and interdisciplinary scientists with a background in graduate-level real analysisThe work offers a rigorous approach to stochastic models used in social, biological and physical sciences ... . Stochastic modeling provides a link between applied research in stochastic models and the literature covering their mathematical foundations.”  (Ben Dyhr, Mathematical Reviews, May, 2018)

“There is a wide spectrum of topics discussed in this book. … It is also interesting to find several classical examples with all details. … The text is so carefully written and checked, that I was unable to find a single typo. The book can be strongly recommended to those students and teachers who want to be in line with modern probability theory and its diverse applications.” (Jordan M. Stoyanov, zbMATH 1360.60002, 2017)

Nicolas Lanchier is Associate Professor at Arizona State University, School of Mathematical and Statistical Sciences.  His research interests include mathematical models introduced in the life and social sciences literature that describe inherently spatial phenomena of interacting populations consist of systems of ordinary differential equations.

SKU	Nicht verfügbar
ISBN 13	9783319500379
ISBN 10	3319500376
Titel	Stochastic Modeling
Autor	Nicolas Lanchier
Serie	Universitext
Buchzustand	Nicht verfügbar
Bindungsart	Paperback
Verlag	Springer International Publishing AG
Erscheinungsjahr	2017-02-09
Seitenanzahl	303
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis	Nicht verfügbar