Artykuły udostępnione publicznie: - Dongchu SunWięcej informacji
Niedostępne w żadnym miejscu: 14
The improved AdaBoost algorithms for imbalanced data classification
W Wang, D Sun
Information Sciences 563, 358-374, 2021
Upoważnienia: National Natural Science Foundation of China
Fully Bayesian analysis of the relevance vector machine with an extended hierarchical prior structure
E Fokoué, D Sun, P Goel
Statistical Methodology 8 (1), 83-96, 2011
Upoważnienia: US National Institutes of Health
Bayesian clinical trials
MH Chen, DK Dey, P Müller, D Sun, K Ye
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of …, 2010
Upoważnienia: US National Institutes of Health
Identifiability of masking probabilities in competing risks models with emphasis on Weibull models
Y Liang, D Sun
Communications in Statistics-Theory and Methods 45 (7), 2143-2157, 2016
Upoważnienia: US National Science Foundation
A Bayesian hierarchical model of nontraumatic lower-extremity amputation rates
X Min, D Sun, Z He, M Schootman
Spatial and spatio-temporal Epidemiology 1 (2-3), 169-176, 2010
Upoważnienia: US National Institutes of Health
Bayesian model selection and hypothesis tests
MH Chen, DK Dey, P Müller, D Sun, K Ye
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of …, 2010
Upoważnienia: US National Institutes of Health
Objective bayesian inference with applications
MH Chen, DK Dey, P Müller, D Sun, K Ye
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of …, 2010
Upoważnienia: US National Institutes of Health
Objective Bayesian analysis for accelerated degradation data using inverse Gaussian process models
L He, D Sun, D He
Statistics and Its Interface 12 (2), 295-307, 2019
Upoważnienia: US National Science Foundation, National Natural Science Foundation of China
Model selection for wild turkey hunter success rates using small‐area estimation methods
SL Sheriff, D Sun, Z He, LD Vangilder, JL Isabelle
Wildlife Society Bulletin 42 (4), 622-631, 2018
Upoważnienia: US Department of Defense
Bayesian Data Mining and Machine Learning
MH Chen, DK Dey, P Müller, D Sun, K Ye
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of …, 2010
Upoważnienia: US National Institutes of Health
Bayesian Methods for Genomics, Molecular and Systems Biology
MH Chen, DK Dey, P Müller, D Sun, K Ye
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of …, 2010
Upoważnienia: US National Institutes of Health
Bayesian Categorical Data Analysis
MH Chen, DK Dey, P Müller, D Sun, K Ye
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of …, 2010
Upoważnienia: US National Institutes of Health
Bayesian Influence and Frequentist Interface
MH Chen, DK Dey, P Müller, D Sun, K Ye
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of …, 2010
Upoważnienia: US National Institutes of Health
Inducci ón en las Ciencias de la Naturaleza: Una Soluci ón Bayesiana Objetiva
JO Berger, JM Bernardo, D Sun
RACSAM-Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales …, 2009
Upoważnienia: US National Institutes of Health
Dostępne w jakimś miejscu: 26
Bayesian t tests for accepting and rejecting the null hypothesis
JN Rouder, PL Speckman, D Sun, RD Morey, G Iverson
Psychonomic bulletin & review 16, 225-237, 2009
Upoważnienia: US National Institutes of Health
A hierarchical process-dissociation model.
JN Rouder, J Lu, RD Morey, D Sun, PL Speckman
Journal of Experimental Psychology: General 137 (2), 370, 2008
Upoważnienia: US National Institutes of Health
Objective priors for the bivariate normal model
JO Berger, D Sun
Upoważnienia: US National Institutes of Health
Existence of the MLE and propriety of posteriors for a general multinomial choice model
PL Speckman, J Lee, D Sun
Statistica Sinica, 731-748, 2009
Upoważnienia: US National Institutes of Health
Natural induction: an objective Bayesian approach
JO Berger, JM Bernardo, D Sun
Rev. R. Acad. Cienc. Exactas Fis. Nat., Ser. A Mat 103, 125-135, 2009
Upoważnienia: US National Institutes of Health
Objective Bayesian Analysis for the Student-t Linear Regression
D He, D Sun, L He
Upoważnienia: National Natural Science Foundation of China
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