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Dependence ith Complete Connections and its Applications [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Iosifescu, Marius, Grigorescu, Serban
  • Author:  Iosifescu, Marius, Grigorescu, Serban
  • ISBN-10:  0521101808
  • ISBN-10:  0521101808
  • ISBN-13:  9780521101806
  • ISBN-13:  9780521101806
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  320
  • Pages:  320
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2009
  • Pub Date:  01-May-2009
  • SKU:  0521101808-11-MPOD
  • SKU:  0521101808-11-MPOD
  • Item ID: 100754523
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Dec 27 to Dec 29
  • Notes: Brand New Book. Order Now.
The book will appeal to mathematicians working in probability theory, ergodic theory and number theoryDependence with complete connections is a more general type of stochastic process than the well-known Markovian dependence, accounting for a complete history of a stochastic evolution. This book is an authoritative survey of knowledge of the subject, dealing with the basic theoretical understanding and also with applications.Dependence with complete connections is a more general type of stochastic process than the well-known Markovian dependence, accounting for a complete history of a stochastic evolution. This book is an authoritative survey of knowledge of the subject, dealing with the basic theoretical understanding and also with applications.Dependence with complete connections is a more general type of stochastic process than the well-known Markovian dependence, accounting for a complete history of a stochastic evolution. This book is an authoritative survey of knowledge of the subject, dealing with the basic theoretical understanding and also with applications. These arise in a variety of situations as diverse as stochastic models of learning, branching processes in random environments, continued fractions and dynamical systems. Thus the book will appeal to mathematicians working in probability theory, ergodic theory and number theory, as well as applied mathematicians, engineers, biologists and social scientists interested in applications of stochastic methods.Preface; Introduction; 1. Fundamental notions; 2. Ergodicity; 3. The associated Markov chain; 4. Asymptotic behaviour; 5. Some special systems; Appendices; Notes and comments; Reference; Index.
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