語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Interdisciplinary bayesian statistic...
~
Workshop on the Preservation of Stability under Discretization ((2001 :)
Interdisciplinary bayesian statistics = EBEB 2014 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Interdisciplinary bayesian statistics/ edited by Adriano Polpo ... [et al.].
其他題名:
EBEB 2014 /
其他題名:
EBEB 2014
其他作者:
Polpo, Adriano.
團體作者:
Workshop on the Preservation of Stability under Discretization
出版者:
Cham :Springer International Publishing : : 2015.,
面頁冊數:
xviii, 366 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Bayesian statistical decision theory - Congresses. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-12454-4
ISBN:
9783319124544 (electronic bk.)
Interdisciplinary bayesian statistics = EBEB 2014 /
Interdisciplinary bayesian statistics
EBEB 2014 /[electronic resource] :EBEB 2014edited by Adriano Polpo ... [et al.]. - Cham :Springer International Publishing :2015. - xviii, 366 p. :ill. (some col.), digital ;24 cm. - Springer proceedings in mathematics & statistics,v.1182194-1009 ;. - Springer proceedings in mathematics & statistics ;v.24..
What About the Posterior Distributions When the Model is Non-dominated -- Bayesian Learning of Material Density Function by Multiple Sequential Inversions of 2-D Images in Electron Microscopy -- Problems with Constructing Tests to Accept the Null Hypothesis -- Cognitive-Constructivism, Quine, Dogmas of Empiricism, and Munchhausen's Trilemma -- A maximum entropy approach to learn Bayesian networks from incomplete data -- Bayesian Inference in Cumulative Distribution Fields -- MCMC-Driven Adaptive Multiple Importance Sampling -- Bayes Factors for comparison of restricted simple linear regression coefficients -- A Spanning Tree Hierarchical Model for Land Cover Classification -- Nonparametric Bayesian regression under combinations of local shape constraints -- A Bayesian Approach to Predicting Football Match Outcomes Considering Time Effect Weight -- Homogeneity tests for 22 contingency tables -- Combining Optimization and Randomization Approaches for the Design of Clinical Trials -- Factor analysis with mixture modeling to evaluate coherent patterns in microarray data.
Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks.
ISBN: 9783319124544 (electronic bk.)
Standard No.: 10.1007/978-3-319-12454-4doiSubjects--Topical Terms:
870052
Bayesian statistical decision theory
--Congresses.
LC Class. No.: QA279.5
Dewey Class. No.: 519.542
Interdisciplinary bayesian statistics = EBEB 2014 /
LDR
:03469nam a2200337 a 4500
001
836507
003
DE-He213
005
20150922095616.0
006
m d
007
cr nn 008maaau
008
160421s2015 gw s 0 eng d
020
$a
9783319124544 (electronic bk.)
020
$a
9783319124537 (paper)
024
7
$a
10.1007/978-3-319-12454-4
$2
doi
035
$a
978-3-319-12454-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA279.5
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
082
0 4
$a
519.542
$2
23
090
$a
QA279.5
$b
.B827 2014
111
2
$a
Workshop on the Preservation of Stability under Discretization
$d
(2001 :
$c
Fort Collins, Colo.)
$3
527686
245
1 0
$a
Interdisciplinary bayesian statistics
$h
[electronic resource] :
$b
EBEB 2014 /
$c
edited by Adriano Polpo ... [et al.].
246
3
$a
EBEB 2014
260
$a
Cham :
$c
2015.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xviii, 366 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Springer proceedings in mathematics & statistics,
$x
2194-1009 ;
$v
v.118
505
0
$a
What About the Posterior Distributions When the Model is Non-dominated -- Bayesian Learning of Material Density Function by Multiple Sequential Inversions of 2-D Images in Electron Microscopy -- Problems with Constructing Tests to Accept the Null Hypothesis -- Cognitive-Constructivism, Quine, Dogmas of Empiricism, and Munchhausen's Trilemma -- A maximum entropy approach to learn Bayesian networks from incomplete data -- Bayesian Inference in Cumulative Distribution Fields -- MCMC-Driven Adaptive Multiple Importance Sampling -- Bayes Factors for comparison of restricted simple linear regression coefficients -- A Spanning Tree Hierarchical Model for Land Cover Classification -- Nonparametric Bayesian regression under combinations of local shape constraints -- A Bayesian Approach to Predicting Football Match Outcomes Considering Time Effect Weight -- Homogeneity tests for 22 contingency tables -- Combining Optimization and Randomization Approaches for the Design of Clinical Trials -- Factor analysis with mixture modeling to evaluate coherent patterns in microarray data.
520
$a
Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks.
650
0
$a
Bayesian statistical decision theory
$v
Congresses.
$3
870052
650
1 4
$a
Statistics.
$3
556824
650
2 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Statistics for Life Sciences, Medicine, Health Sciences.
$3
670172
650
2 4
$a
Statistics, general.
$3
671463
700
1
$a
Polpo, Adriano.
$3
1066695
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Springer proceedings in mathematics & statistics ;
$v
v.24.
$3
883338
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-12454-4
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入