Thinking Probabilistically: Stochastic Processes, Disordered Systems, and Their Applications | Agenda Bookshop
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A01=Ariel Amir
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Author_Ariel Amir
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Category1=Non-Fiction
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Category=PBWL
COP=United Kingdom
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Language_English
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Thinking Probabilistically: Stochastic Processes, Disordered Systems, and Their Applications

English

By (author): Ariel Amir

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 FokkerPlanck equations, noise, generalized central limit theorem and extreme values statistics, random matrix theory and percolation theory. See more
Current price €52.24
Original price €54.99
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A01=Ariel AmirAge Group_UncategorizedAuthor_Ariel Amirautomatic-updateCategory1=Non-FictionCategory=PBTCategory=PBWHCategory=PBWLCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 440g
  • Dimensions: 170 x 243mm
  • Publication Date: 17 Dec 2020
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781108789981

About Ariel Amir

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

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