語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
The Ergodic Theorem and Markov Chain...
~
Huang, Yan.
FindBook
Google Book
Amazon
博客來
The Ergodic Theorem and Markov Chain Strong Laws.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Ergodic Theorem and Markov Chain Strong Laws./
作者:
Huang, Yan.
面頁冊數:
41 p.
附註:
Source: Masters Abstracts International, Volume: 55-02.
Contained By:
Masters Abstracts International55-02(E).
標題:
Mathematics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1601611
ISBN:
9781339135854
The Ergodic Theorem and Markov Chain Strong Laws.
Huang, Yan.
The Ergodic Theorem and Markov Chain Strong Laws.
- 41 p.
Source: Masters Abstracts International, Volume: 55-02.
Thesis (M.S.)--University of Minnesota, 2015.
The purpose of this paper is to explain the pointwise Ergodic Theorem and then to apply it to stationary Markov Chains. The Ergodic Theorem is a theorem which shows that the time-averages of a stationary sequence of random variables converge almost surely, and also gives a way to evaluate the limit of these averages. In the setting of Markov chains, the Ergodic Theorem can be used to obtain an important convergence fact about Markov chains.
ISBN: 9781339135854Subjects--Topical Terms:
515831
Mathematics.
The Ergodic Theorem and Markov Chain Strong Laws.
LDR
:01236nmm a2200265 4500
001
2070610
005
20160617121826.5
008
170521s2015 ||||||||||||||||| ||eng d
020
$a
9781339135854
035
$a
(MiAaPQ)AAI1601611
035
$a
AAI1601611
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Huang, Yan.
$3
784621
245
1 4
$a
The Ergodic Theorem and Markov Chain Strong Laws.
300
$a
41 p.
500
$a
Source: Masters Abstracts International, Volume: 55-02.
500
$a
Adviser: John Baxter.
502
$a
Thesis (M.S.)--University of Minnesota, 2015.
520
$a
The purpose of this paper is to explain the pointwise Ergodic Theorem and then to apply it to stationary Markov Chains. The Ergodic Theorem is a theorem which shows that the time-averages of a stationary sequence of random variables converge almost surely, and also gives a way to evaluate the limit of these averages. In the setting of Markov chains, the Ergodic Theorem can be used to obtain an important convergence fact about Markov chains.
590
$a
School code: 0130.
650
4
$a
Mathematics.
$3
515831
690
$a
0405
710
2
$a
University of Minnesota.
$b
Mathematics.
$3
1675975
773
0
$t
Masters Abstracts International
$g
55-02(E).
790
$a
0130
791
$a
M.S.
792
$a
2015
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1601611
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9303478
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入