大葉大學圖書館 |

登入

回首頁 到查詢結果 [ subject:"Markov processes." ]

Markov Processes, Gaussian Processes...

Ebooks Corporation.

Markov Processes, Gaussian Processes, and Local Times.[electronic resource].

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.233
書名/作者:	Markov Processes, Gaussian Processes, and Local Times.
作者:	Marcus, Michael B.
其他作者:	Rosen, Jay.
出版者:	Leiden : : Cambridge University Press,, 2006.
面頁冊數:	632 p.
標題:	Markov processes.
ISBN:	9780511617997 (electronic bk.)
ISBN:	9780521863001 (print)
內容註:	Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; 1 Introduction; 2 Brownian motion and Ray–Knight Theorems; 3 Markov processes and local times; 4 Constructing Markov processes; 5 Basic properties of Gaussian processes; 6 Continuity and boundedness of Gaussian processes; 7 Moduli of continuity for Gaussian processes; 8 Isomorphism Theorems; 9 Sample path properties of local times; 10 p-variation of Gaussian processes and local times; 11 Most visited sites of symmetric stable processes; 12 Local times of diffusions; Chapter 13 Associated Gaussian processes
摘要、提要註:	Two foremost researchers present important advances in stochastic process theory by linking well understood (Gaussian) and less well understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic probability. This original, readable book is for researchers and advanced graduate students.
電子資源:	Click here to view book

Markov Processes, Gaussian Processes, and Local Times.[electronic resource].
Marcus, Michael B.

Markov Processes, Gaussian Processes, and Local Times.[electronic resource]. - Leiden :Cambridge University Press,2006. - 632 p.

Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; 1 Introduction; 2 Brownian motion and Ray–Knight Theorems; 3 Markov processes and local times; 4 Constructing Markov processes; 5 Basic properties of Gaussian processes; 6 Continuity and boundedness of Gaussian processes; 7 Moduli of continuity for Gaussian processes; 8 Isomorphism Theorems; 9 Sample path properties of local times; 10 p-variation of Gaussian processes and local times; 11 Most visited sites of symmetric stable processes; 12 Local times of diffusions; Chapter 13 Associated Gaussian processes

Two foremost researchers present important advances in stochastic process theory by linking well understood (Gaussian) and less well understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic probability. This original, readable book is for researchers and advanced graduate students.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511617997 (electronic bk.)Subjects--Topical Terms:

369778
Markov processes.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QA274.7 .M35 2006eb

Dewey Class. No.: 519.233

Markov Processes, Gaussian Processes, and Local Times.[electronic resource].
LDR:01942nam a22002893u 4500 001 405989
003 AU-PeEL
005 20090601202848.0
006 m d
007 cr mn---------
008 140714t2006 ||| s |||||||eng|d
020 $a 9780511617997 (electronic bk.)
020 $a 9780521863001 (print)
035 $a EBL274799
035 $a EBL274799
040 $a AU-PeEL $c AU-PeEL $d AU-PeEL
050 0 0 $a QA274.7 .M35 2006eb
082 0 0 $a 519.233
100 1 $a Marcus, Michael B. $3 567707
245 1 0 $a Markov Processes, Gaussian Processes, and Local Times. $h [electronic resource].
260 $a Leiden : $b Cambridge University Press, $c 2006.
300 $a 632 p.
505 0 $a Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; 1 Introduction; 2 Brownian motion and Ray–Knight Theorems; 3 Markov processes and local times; 4 Constructing Markov processes; 5 Basic properties of Gaussian processes; 6 Continuity and boundedness of Gaussian processes; 7 Moduli of continuity for Gaussian processes; 8 Isomorphism Theorems; 9 Sample path properties of local times; 10 p-variation of Gaussian processes and local times; 11 Most visited sites of symmetric stable processes; 12 Local times of diffusions; Chapter 13 Associated Gaussian processes
505 8 $a Chapter 14 AppendixReferences; Index of notation; Author index; Subject index
520 $a Two foremost researchers present important advances in stochastic process theory by linking well understood (Gaussian) and less well understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic probability. This original, readable book is for researchers and advanced graduate students.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
650 4 $a Markov processes. $3 369778
655 7 $a Electronic books. $2 local $3 336502
700 1 $a Rosen, Jay. $3 567708
710 2 $a Ebooks Corporation. $3 380544
776 1 $z 9780521863001
856 4 0 $z Click here to view book $u http://ebooks.cambridge.org/ebook.jsf?bid=CBO9780511617997

筆 0 讀者評論

多媒體

多媒體檔案
http://ebooks.cambridge.org/ebook.jsf?bid=CBO9780511617997

評論

新增評論分享你的心得

Export

取書館別