Sprache: Englisch
Verlag: World Scientific Publishing Company, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Sprache: Englisch
Verlag: Harper Collins Publishers, 2020
ISBN 10: 0000988006 ISBN 13: 9780000988003
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Sprache: Englisch
Verlag: Harper Collins Publishers, 2020
ISBN 10: 0000988006 ISBN 13: 9780000988003
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Verlag: World Scientific Publishing Co, 2020
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, SG, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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In den WarenkorbPaperback. Zustand: New. This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and optional stopping theorems for martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and renewal theory.Interspersed throughout are applications to such topics as gambler's ruin probabilities, random walks on graphs, sequence waiting times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as well-motivated and accessible as possible, to allow students and readers to learn this fascinating subject as easily and painlessly as possible.
Verlag: World Scientific, Singapore, 2020
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Soft cover. Zustand: New. ISBN:9780000988003,x+202pp.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, Singapore, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Paperback. Zustand: new. Paperback. This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and optional stopping theorems for martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and renewal theory.Interspersed throughout are applications to such topics as gambler's ruin probabilities, random walks on graphs, sequence waiting times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as well-motivated and accessible as possible, to allow students and readers to learn this fascinating subject as easily and painlessly as possible. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Sprache: Englisch
Verlag: World Scientific Publishing Co, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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Sprache: Englisch
Verlag: World Scientific Pub Co Inc, 2020
ISBN 10: 9811208972 ISBN 13: 9789811208973
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ISBN 10: 9811207909 ISBN 13: 9789811207907
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Sprache: Englisch
Verlag: World Scientific Publishing Co, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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Verlag: World Scientific Publishing Co Pte Ltd, Singapore, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Paperback. Zustand: new. Paperback. This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and optional stopping theorems for martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and renewal theory.Interspersed throughout are applications to such topics as gambler's ruin probabilities, random walks on graphs, sequence waiting times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as well-motivated and accessible as possible, to allow students and readers to learn this fascinating subject as easily and painlessly as possible. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, SG, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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In den WarenkorbPaperback. Zustand: New. This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and optional stopping theorems for martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and renewal theory.Interspersed throughout are applications to such topics as gambler's ruin probabilities, random walks on graphs, sequence waiting times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as well-motivated and accessible as possible, to allow students and readers to learn this fascinating subject as easily and painlessly as possible.
Sprache: Englisch
Verlag: World Scientific Pub Co Inc, 2020
ISBN 10: 9811207909 ISBN 13: 9789811207907
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Sprache: Englisch
Verlag: World Scientific Publishing Co, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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In den WarenkorbKartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThis textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and optional stopping theorems for martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and renewal theory.Interspersed throughout are applications to such topics as gambler's ruin probabilities, random walks on graphs, sequence waiting times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as well-motivated and accessible as possible, to allow students and readers to learn this fascinating subject as easily and painlessly as possible.