Thinking Probabilistically (Cambridge Texts in Applied Mathematics) - Softcover

Amir, Ariel

Softcover

ISBN 10: 1108789986 ISBN 13: 9781108789981

Publisher: 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.

About this title

About the Author

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

Edition details

• Publisher: Cambridge University Press
• Publication date: 2020
• Language: English
• ISBN 10: 1108789986
• ISBN 13: 9781108789981
• Binding: Paperback
• Edition number: 1
• Number of pages: 242