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ISBN 10: 9811208972 ISBN 13: 9789811208973
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Published by Harper Collins Publishers, 2020
ISBN 10: 0000988006 ISBN 13: 9780000988003
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Published by Harper Collins Publishers, 2020
ISBN 10: 0000988006 ISBN 13: 9780000988003
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Published by World Scientific Publishing Co, 2020
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Published by World Scientific Publishing Co Pte Ltd, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Published by World Scientific Publishing Co Pte Ltd, SG, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Paperback. Condition: 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.
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Published by World Scientific Publishing Co Pte Ltd, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Published by World Scientific Publishing Co Pte Ltd, Singapore, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Paperback. Condition: 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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Published by World Scientific Publishing Co, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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hardcover. Condition: Very Good.
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Published by World Scientific Sep 2019, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Taschenbuch. Condition: Neu. Neuware -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.
Language: English
Published by World Scientific Pub Co Inc, 2020
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Paperback. Condition: Brand New. 202 pages. 8.75x5.75x0.50 inches. In Stock.
Language: English
Published by World Scientific Publishing Co, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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Published by World Scientific Publishing Co, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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Published by World Scientific Publishing Co Pte Ltd, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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ISBN 10: 9811207909 ISBN 13: 9789811207907
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ISBN 10: 9811207909 ISBN 13: 9789811207907
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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ISBN 10: 9811207909 ISBN 13: 9789811207907
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Taschenbuch. Condition: Neu. FIRST LOOK AT STOCHASTIC PROCESSES, A | Rosenthal Jeffrey S | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | World Scientific | EAN 9789811208973 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Language: English
Published by World Scientific Publishing Co, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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Published by World Scientific Sep 2019, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
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Taschenbuch. Condition: Neu. Neuware - 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.
Language: English
Published by World Scientific Publishing Co, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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Published by World Scientific Publishing Co Pte Ltd, Singapore, 2019
ISBN 10: 9811208972 ISBN 13: 9789811208973
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: 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.
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2019
ISBN 10: 9811207909 ISBN 13: 9789811207907
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Add to basketHardback. Condition: 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.