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생물/보건/의학 연구를 위한 비모수 베이지안 통계모형
노희상 ( Hee Sang Noh )
박진수 ( Jin Su Park )
심규석 ( Gyu Seok Sim )
유재은 ( Jae Eun Yu )
정연승 ( Yeon Seung Chung )
2014년
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도
공유도
영향력
논문상세정보
저자
노희상 ( Hee Sang Noh )
박진수 ( Jin Su Park )
심규석 ( Gyu Seok Sim )
유재은 ( Jae Eun Yu )
정연승 ( Yeon Seung Chung )
주제어
Clustering
Density estimation
Dirichlet process
NonparametricBayes
randomeffectsdistribution
regression
군집분석
디리슈레확률과정
비모수베이지안
임의효과분포
확률밀도함수의추정
회귀분석
참고문헌( 45)
유사주제 논문( 2,015)
군집분석 833건
회귀분석 617건
clustering 437건
regression 115건
dirichlet process 7건
density estimation 5건
비모수베이지안 1건
인용/피인용
생물/보건/의학 연구를 위한 비모수 베이지안 통계모 ...
' 생물/보건/의학 연구를 위한 비모수 베이지안 통계모형' 의 주제별 논문영향력
논문영향력 요약
주제
clustering
density estimation
dirichlet process
nonparametricbayes
randomeffectsdistribution
regression
군집분석
디리슈레확률과정
비모수베이지안
임의효과분포
확률밀도함수의추정
회귀분석
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
2,027
0
0.0%
자세히
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제어
clustering
438
0
0.0%
density estimation
6
0
0.0%
dirichlet process
8
0
0.0%
nonparametricbayes
1
0
0.0%
randomeffectsdistribution
1
0
0.0%
regression
116
0
0.0%
군집분석
834
0
0.0%
디리슈레확률과정
1
0
0.0%
비모수베이지안
2
0
0.0%
임의효과분포
1
0
0.0%
확률밀도함수의추정
1
0
0.0%
회귀분석
618
0
0.0%
계
2,027
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
닫기
' 생물/보건/의학 연구를 위한 비모수 베이지안 통계모형'
의 참고문헌
The nested Dirichlet process
Rodriguez, A.
Journal of the American Statistical Association 103 : 1131 ~ 1154
[2008]
Spatially adaptive Bayesian penalized regression splines(P-splines)
Baladandayuthapani, V.
Journal of Computational and Graphical Statistics 14 : 378 ~ 394
[2005]
Semiparametric Bayesian models for clustering and classification in the presence of unbalanced in-hospital survival
Guglielm, A.
Journal of the Royal Statistical Society, Series C 63 : 25 ~ 46
[2014]
Semiparametric Bayesian inference for phage display data
Leon-Novelo, L. G.
Biometrics 69 : 174 ~ 183
[2013]
Semiparametric Bayesian inference for multilevel repeated measurement data
M¨uller, P.
Biometrics 63 : 280 ~ 289
[2007]
Semiparametric Bayesian classification with longitudinal markers
De la Cruz, R.
Applied Statistics 56 : 119 ~ 137
[2007]
Prior distributions on spaces of probability measures
Ferguson, T. S.
The Annals of Statistics 2 : 615 ~ 629
[1974]
Partition models
Hartigan, J. A.
Communications in Statistics: Theory and Methods 19 : 2745 ~ 2756
[1990]
Nonparametric mixed effects models for unequally sampled noisy curves
Rice, J. A.
Biometrics 57 : 253 ~ 259
[2001]
Nonparametric Bayesian models through probit stick-breaking processes
Rodriguez, A.
Bayesian Analysis 6 : 145 ~ 178
[2011]
Nonparametric Bayes applications to Biostatistics, Bayesian Nonparametrics, Chap-ter 7
Dunson, D. B.
Cambridge University Press
[2010]
Nonlinear wavelet shrinkage with Bayes rules and Bayes factors
Vidakovic, B.
Journal of the Amer-ican Statistical Association 93 : 173 ~ 179
[1998]
Modeling regression error with a mixture of Polya trees
Hanson, T. E.
Journal of the American Statistical Association 97 : 1020 ~ 1033
[2002]
Latent dirichlet allocation
Blei, D. M.
Journal of machine Learning research 3 : 993 ~ 1022
[2003]
Kernel stick-breaking processes
Dunson, D. B.
BIOMETRIKA 95 (2) : 307 ~ 323
[2008]
Integrative model-based clustering of microarray methylation and expression data
Kormaksson, M.
Annals of Applied Statistics 6 : 1327 ~ 1347
[2012]
Hierarchical generalized linear models and frailty models with Bayesian nonparametric mixing
Walker, S.
Journal of the Royal Statistical Society 59 : 845 ~ 860
[1997]
Hierarchical dirichlet processes
Teh, Y. W.
Journal of the American statistical association 101 : 1566 ~ 1581
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Gibbs sampling methods for stick-breaking priors
Ishwaran, H.
Journal of the American Statistical Association 96 : 161 ~ 173
[2001]
Ferguson distributions via Polya urn schemes
Blackwell, D.
Annals of Statistics 1 : 353 ~ 355
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Estimating replicate time shifts using Gaussian process regression
Liu, Q.
Bioinformatics 26 : 770 ~ 776
[2010]
Estimating normal means with a conjugate style Dirichlet process prior
MacEachern, S.
Commu-nications in Statistics : Simulation and Computation 23 : 727 ~ 741
[1994]
Estimating normal means with a Dirichlet process prior
Escobar, M. D.
Journals of the American Statistical Association 89 : 268 ~ 277
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Dirichlet process mixed generalized linear models
Mukhopadhyay, S.
Journal of the American Statistical Association 92 : 633 ~ 639
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Dependent nonparametric processes
MacEachern, S.
ASA Proceedings of the Section on Bayesian Statistical Science
[1999]
Bayesian nonparametric non-proportional hazards survival modeling
De Iorio, M.
Biometrics 65 : 762 ~ 771
[2009]
Bayesian mixture models for complex high dimensional count data in phage display experiments
Ji, Y.
Journal of the Royal Statistical Society, Series C: Applied Statistics 56 : 139 ~ 152
[2007]
Bayesian density regression
Dunson, D. B.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY 69 : 163 ~ 183
[2007]
Bayesian curve fitting using multivariate normal mixtures
M¨uller, P.
Biometrika 83 : 67 ~ 79
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Bayesian Inference for Gene Expression and Proteomics
Dahl, D. B.
Cambridge University Press
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Bayesian Inference and Decision Techniques: Essays in Honor of Bruno de Finetti
Zellner, A.
Elsevier : 233 ~ 243
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Bayes variable selection in semiparametric linear models
Kundu, S.
Journal of the American Statistical Association 109 : 437 ~ 447
[2014]
Association between maternal serum concentration of the DDT metabolite DDE and preterm and small-for-gestational-age babies at birth
Longnecker, M. P.
Lancet 358 : 110 ~ 114
[2001]
An ANOVA model for dependent random measures
De Iorio, M.
Journal of the American Statistical Association 99 : 205 ~ 215
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A semiparametric Bayesian model for randomized block designs
Bush, C. A.
Biometrika 83 : 275 ~ 285
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A product partition model with regression on covariates
M¨uller, P.
Journal of Computational and Graphical Statistics 20 : 260 ~ 278
[2011]
A predictive view of Bayesian clustering
Quintana, F. A.
Journal of Statistical Planning and In-ference 136 : 2407 ~ 2429
[2006]
A flexible B-spline model for multiple longitudinal Biomarkers and survival
Brown, E. R.
Biometrics 61 : 64 ~ 73
[2005]
A constructive definition of Dirichlet priors
Sethuraman, J.
Statistica Sinica 4 : 639 ~ 650
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A Semi-parametric Bayesian approach to the random effects model
Kleinman, K.
Biometrics 54 : 921 ~ 938
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A Semi-parametric Bayesian approach to generalized linear mixed models
Kleinman, K.
Statistics in Medicine 17 : 2579 ~ 2596
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A Bayesian population model with hierarchical mixture priors applied to blood count data
M¨uller, P.
Journal of the American Statistical Association 92 : 633 ~ 639
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A Bayesian analysis of the Cepheid distance scale
Barnes, T. G.
The Astrophysical Journal 592 : 539 ~
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A Bayesian analysis of some nonparametric problems
Ferguson, T. S.
The Annals of Statistics 1 : 209 ~ 230
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A Bayesian Semi-parametric approach for the differential analysis of sequence counts data, Technical report
Guindani, M.
[2012]
' 생물/보건/의학 연구를 위한 비모수 베이지안 통계모형'
의 유사주제(
) 논문