語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ subject:"Bayes Theorem." ]
切換:
標籤
|
MARC模式
|
ISBD
Bayesian model selection and statist...
~
Ando, Tomohiro.
Bayesian model selection and statistical modeling
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Bayesian model selection and statistical modelingTomohiro Ando.
作者:
Ando, Tomohiro.
出版者:
Boca Raton, FL :Chapman & Hall/CRC,c2010.
面頁冊數:
1 online resource (xiv, 284 p.) :ill.
附註:
"A Chapman & Hall Book."
標題:
Bayes Theorem.
電子資源:
http://www.crcnetbase.com/isbn/978-1-4398-3614-9
ISBN:
9781439836156 (electronic bk.)
Bayesian model selection and statistical modeling
Ando, Tomohiro.
Bayesian model selection and statistical modeling
[electronic resource] /Tomohiro Ando. - Boca Raton, FL :Chapman & Hall/CRC,c2010. - 1 online resource (xiv, 284 p.) :ill. - Statistics : textbooks and monographs. - Statistics, textbooks and monographs..
"A Chapman & Hall Book."
Includes bibliographical references (p. 265-284).
Introduction to Bayesian analysis -- Asymptotic approach for Bayesian inference -- Computational approach for Bayesian inference -- Bayesian approach for model selection -- Simulation approach for computing the marginal likelihood -- Various Bayesian model selection criteria --Theoretical development and comparisons -- Bayesian model averaging.
"Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation. The author shows how to implement a variety of Bayesian inference using R and sampling methods, such as Markov chain Monte Carlo. He covers the different types of simulation-based Bayesian model selection criteria, including the numerical calculation of Bayes factors, the Bayesian predictive information criterion, and the deviance information criterion. He also provides a theoretical basis for the analysis of these criteria. In addition, the author discusses how Bayesian model averaging can simultaneously treat both model and parameter uncertainties. Selecting and constructing the appropriate statistical model significantly affect the quality of results in decision making, forecasting, stochastic structure explorations, and other problems. Helping you choose the right Bayesian model, this book focuses on the framework for Bayesian model selection and includes practical examples of model selection criteria"--Publisher's description.
ISBN: 9781439836156 (electronic bk.)Subjects--Topical Terms:
230798
Bayes Theorem.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA279.5 / .A55 2010eb
Dewey Class. No.: 519.5/42
National Library of Medicine Call No.: QA 279.5
Bayesian model selection and statistical modeling
LDR
:02716cmm a2200313Ia 4500
001
406507
003
OCoLC
005
20140108090635.0
006
m o d
007
cr |||||||||||
008
140128s2010 flua ob 000 0 eng d
020
$a
9781439836156 (electronic bk.)
020
$a
1439836159 (electronic bk.)
020
$z
9781439836149 (hbk.)
020
$z
1439836140 (hbk.)
035
$a
ocn693771844
040
$a
N
$b
eng
$c
N
$d
EBLCP
$d
YDXCP
$d
E7B
$d
OSU
$d
IUL
$d
OCLCQ
$d
GZM
$d
CUS
$d
OCLCQ
$d
OHS
$d
OCLCQ
$d
DEBSZ
$d
OCLCQ
050
4
$a
QA279.5
$b
.A55 2010eb
060
4
$a
QA 279.5
082
0 4
$a
519.5/42
$2
22
100
1
$a
Ando, Tomohiro.
$3
507069
245
1 0
$a
Bayesian model selection and statistical modeling
$h
[electronic resource] /
$c
Tomohiro Ando.
260
$a
Boca Raton, FL :
$b
Chapman & Hall/CRC,
$c
c2010.
300
$a
1 online resource (xiv, 284 p.) :
$b
ill.
490
1
$a
Statistics : textbooks and monographs
500
$a
"A Chapman & Hall Book."
504
$a
Includes bibliographical references (p. 265-284).
505
0
$a
Introduction to Bayesian analysis -- Asymptotic approach for Bayesian inference -- Computational approach for Bayesian inference -- Bayesian approach for model selection -- Simulation approach for computing the marginal likelihood -- Various Bayesian model selection criteria --Theoretical development and comparisons -- Bayesian model averaging.
520
$a
"Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation. The author shows how to implement a variety of Bayesian inference using R and sampling methods, such as Markov chain Monte Carlo. He covers the different types of simulation-based Bayesian model selection criteria, including the numerical calculation of Bayes factors, the Bayesian predictive information criterion, and the deviance information criterion. He also provides a theoretical basis for the analysis of these criteria. In addition, the author discusses how Bayesian model averaging can simultaneously treat both model and parameter uncertainties. Selecting and constructing the appropriate statistical model significantly affect the quality of results in decision making, forecasting, stochastic structure explorations, and other problems. Helping you choose the right Bayesian model, this book focuses on the framework for Bayesian model selection and includes practical examples of model selection criteria"--Publisher's description.
588
$a
Description based on print version record.
650
2
$a
Bayes Theorem.
$3
230798
650
2
$a
Statistics as Topic.
$3
267172
650
2
$a
Models, Theoretical.
$3
265698
650
0
$a
Bayesian statistical decision theory.
$3
182005
650
0
$a
Mathematical statistics.
$3
181877
650
0
$a
Mathematical models.
$3
182479
655
0
$a
Electronic books.
$2
local.
$3
214472
830
0
$a
Statistics, textbooks and monographs.
$3
328861
856
4 0
$u
http://www.crcnetbase.com/isbn/978-1-4398-3614-9
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000092298
電子館藏
1圖書
電子書
EB QA279.5 .A55 c2010
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://www.crcnetbase.com/isbn/978-1-4398-3614-9
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入