Thinking Probabilistically - Couverture souple

Amir, Ariel

Couverture souple

ISBN 10 : 1108789986 ISBN 13 : 9781108789981

Editeur : Cambridge University Press, 2020

Synopsis

Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion – includes Markov processes and random walks, Langevin and Fokker–Planck equations, noise, generalized central limit theorem and extreme values statistics, random matrix theory and percolation theory.

A propos du livre

À propos de l?auteur

Ariel Amir is a Professor at Harvard University, Massachusetts. His research centers on the theory of complex systems.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 1108789986
• ISBN 13: 9781108789981
• Reliure: Broché
• Nombre de pages: 242
• Coordonnées du fabricant: non disponible