Markov Chains:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1983
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | A long time ago I started writing a book about Markov chains, Brownian motion, and diffusion. I soon had two hundred pages of manuscript and my publisher was enthusiastic. Some years and several drafts later, I had a thousand pages of manuscript, and my publisher was less enthusiastic. So we made it a trilogy: Markov Chains Brownian Motion and Diffusion Approximating Countable Markov Chains familiarly - MC, B & D, and ACM. I wrote the first two books for beginning graduate students with some knowledge of probability; if you can follow Sections 10.4 to 10.9 of Markov Chains you're in. The first two books are quite independent of one another, and completely independent of the third. This last book is a monograph which explains one way to think about chains with instantaneous states. The results in it are supposed to be new, except where there are specific disclaim ers; it's written in the framework of Markov Chains. Most of the proofs in the trilogy are new, and I tried hard to make them explicit. The old ones were often elegant, but I seldom saw what made them go. With my own, I can sometimes show you why things work. And, as I will VB1 PREFACE argue in a minute, my demonstrations are easier technically. If I wrote them down well enough, you may come to agree |
Beschreibung: | 1 Online-Ressource (382p) |
ISBN: | 9781461255000 9781461255024 |
DOI: | 10.1007/978-1-4612-5500-0 |
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500 | |a A long time ago I started writing a book about Markov chains, Brownian motion, and diffusion. I soon had two hundred pages of manuscript and my publisher was enthusiastic. Some years and several drafts later, I had a thousand pages of manuscript, and my publisher was less enthusiastic. So we made it a trilogy: Markov Chains Brownian Motion and Diffusion Approximating Countable Markov Chains familiarly - MC, B & D, and ACM. I wrote the first two books for beginning graduate students with some knowledge of probability; if you can follow Sections 10.4 to 10.9 of Markov Chains you're in. The first two books are quite independent of one another, and completely independent of the third. This last book is a monograph which explains one way to think about chains with instantaneous states. The results in it are supposed to be new, except where there are specific disclaim ers; it's written in the framework of Markov Chains. Most of the proofs in the trilogy are new, and I tried hard to make them explicit. The old ones were often elegant, but I seldom saw what made them go. With my own, I can sometimes show you why things work. And, as I will VB1 PREFACE argue in a minute, my demonstrations are easier technically. If I wrote them down well enough, you may come to agree | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Freedman, David |
author_facet | Freedman, David |
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author_sort | Freedman, David |
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dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.2 |
dewey-search | 519.2 |
dewey-sort | 3519.2 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-1-4612-5500-0 |
format | Electronic eBook |
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language | English |
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spelling | Freedman, David Verfasser aut Markov Chains by David Freedman New York, NY Springer New York 1983 1 Online-Ressource (382p) txt rdacontent c rdamedia cr rdacarrier A long time ago I started writing a book about Markov chains, Brownian motion, and diffusion. I soon had two hundred pages of manuscript and my publisher was enthusiastic. Some years and several drafts later, I had a thousand pages of manuscript, and my publisher was less enthusiastic. So we made it a trilogy: Markov Chains Brownian Motion and Diffusion Approximating Countable Markov Chains familiarly - MC, B & D, and ACM. I wrote the first two books for beginning graduate students with some knowledge of probability; if you can follow Sections 10.4 to 10.9 of Markov Chains you're in. The first two books are quite independent of one another, and completely independent of the third. This last book is a monograph which explains one way to think about chains with instantaneous states. The results in it are supposed to be new, except where there are specific disclaim ers; it's written in the framework of Markov Chains. Most of the proofs in the trilogy are new, and I tried hard to make them explicit. The old ones were often elegant, but I seldom saw what made them go. With my own, I can sometimes show you why things work. And, as I will VB1 PREFACE argue in a minute, my demonstrations are easier technically. If I wrote them down well enough, you may come to agree Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Markov-Prozess (DE-588)4134948-9 gnd rswk-swf Markov-Kette (DE-588)4037612-6 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Markov-Kette (DE-588)4037612-6 s 1\p DE-604 Stochastischer Prozess (DE-588)4057630-9 s 2\p DE-604 Markov-Prozess (DE-588)4134948-9 s 3\p DE-604 https://doi.org/10.1007/978-1-4612-5500-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Freedman, David Markov Chains Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Markov-Prozess (DE-588)4134948-9 gnd Markov-Kette (DE-588)4037612-6 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
subject_GND | (DE-588)4134948-9 (DE-588)4037612-6 (DE-588)4057630-9 |
title | Markov Chains |
title_auth | Markov Chains |
title_exact_search | Markov Chains |
title_full | Markov Chains by David Freedman |
title_fullStr | Markov Chains by David Freedman |
title_full_unstemmed | Markov Chains by David Freedman |
title_short | Markov Chains |
title_sort | markov chains |
topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Markov-Prozess (DE-588)4134948-9 gnd Markov-Kette (DE-588)4037612-6 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Markov-Prozess Markov-Kette Stochastischer Prozess |
url | https://doi.org/10.1007/978-1-4612-5500-0 |
work_keys_str_mv | AT freedmandavid markovchains |