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Classical and Spatial Stochastic Processes: With Applications to Biology - Rilegato

Schinazi, Rinaldo B.

 
9783031777592: Classical and Spatial Stochastic Processes: With Applications to Biology
Rilegato
ISBN 10: 303177759X ISBN 13: 9783031777592
Casa editrice: Springer-Verlag GmbH, 2024

Sinossi

These topics elegantly apply various classical stochastic models and are motivated throughout with many worked out examples.

This third edition of Classical and Spatial Stochastic Processes is suitable as a textbook for a first course in stochastic processes at the upper-undergraduate or graduate level.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

Rinaldo Schinazi is a Professor of Mathematics at the University of Colorado.  

Dalla quarta di copertina

This textbook provides an accessible approach to concepts and applications of stochastic processes ideal for a wide range of readers. This revised third edition features an intuitive reorganization with concrete topics introduced early on which are then used to demonstrate more abstract concepts in later chapters. The author has kept chapters short and independent from each other, with several of the longer chapters from previous editions now divided into smaller, more manageable parts. These changes build upon previous editions to allow readers even greater flexibility.

The applications that are covered feature active areas of research within biological modeling, such as cancerous mutations, influenza evolution, drug resistance, and immune response. Important problems in fields such as engineering and mathematical physics are presented as well. These topics elegantly apply various classical stochastic models and are motivated throughout with many worked out examples.

This third edition of Classical and Spatial Stochastic Processes is suitable as a textbook for a first course in stochastic processes at the upper-undergraduate or graduate level. Because of its accessible approach, it may also be used as a self-study resource for researchers and practitioners in mathematics, engineering, physics, and mathematical biology.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Verlag GmbH
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
303177759X
ISBN 13 
9783031777592
Rilegatura
Copertina rigida
Numero edizione
3
Numero di pagine
300
Contatto del produttore
Elevation
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