SEMIPARAMETRIC

作品数：76被引量：74H指数：5
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Bayesian quantile semiparametric mixed-effects double regression models被引量：1
《Statistical Theory and Related Fields》2021年第4期303-315,共13页Duo Zhang Liucang Wu Keying Ye Min Wang 
Dr.Wu was supported by the National Natural Science Foundation of China under grant 11861041;Drs.Keying Ye and Min Wang were partially supported by a grant from the UTSA Vice President for Research,Economic Development,and Knowledge Enterprise at the University of Texas at San Antonio.
Semiparametric mixed-effects double regression models have been used for analysis of longitu-dinal data in a variety of applications,as they allow researchers to jointly model the mean and variance of the mixed-effect...
关键词：B-SPLINE MCMC methods quantile regression semiparametric mixed-effects double regression model 
Shape-constrained semiparametric additive stochastic volatility models
《Statistical Theory and Related Fields》2019年第1期71-82,共12页Jiangyong Yin Peter F.Craigmile Xinyi Xu Steven MacEachern 
Peter Craigmile and Jiangyong Yin were supported in part by the National Science Foundation(NSF)under grant DMS-0906864;Xinyi Xu,Jiangyong Yin and Steven MacEachern were supported in part by the NSF under grant DMS-1209194;Peter Craigmile is additionally supported in part by the NSF under grants SES-1024709,DMS-1407604 and SES-1424481;the National Cancer Institute of the National Institutes of Health under Award Number 1R21CA212308-01;the project title is‘Evaluating how licensing-law strategies will change neighborhood disparities in tobacco retailer density’.Xinyi Xu and Steven MacEachern are supported under grant DMS-1613110.
Nonparametric stochastic volatility models,although providing great flexibility for modelling thevolatility equation,often fail to account for useful shape information.For example,a model maynot use the knowledge that...
关键词：Bayesian isotonic regression leverage effect Markov chain Monte Carlo nonlinear time series particle filter state space model 
Semiparametric propensity weighting for nonignorable nonresponse: adiscussion of ‘Statistical inference for nonignorable missing data problems: aselective review’ by Niansheng Tang and Yuanyuan Ju
《Statistical Theory and Related Fields》2018年第2期141-142,共2页Jun Shao 
This work was supported by the Chinese 111 Project,the Fundamental Research Funds for the Central Universities and the U.S.National Science Foundation(Directorate for Mathematical and Physical Sciences)grant DMS-1612873.
Professors Tang and Ju deserve a warm congratulationfor their great work on a review of statistical inferencefor nonignorable missing data problems. Although theycalled their review ‘a selective review’, it actually...
关键词：dealing MISSING nig 
Semiparametric Bayesian analysis of high-dimensional censored outcome data
《Statistical Theory and Related Fields》2017年第2期194-204,共11页Chetkar Jha Yi Li Subharup Guha 
National Science Foundation[grant number DMS-1461948].
The Surveillance, Epidemiology and End Results (SEER) cancer database contains survival data forUS individuals diagnosed with cancer. Semiparametric Bayesian methods are computationallyexpensive to fit for such large ...
关键词：ICAR models data squashing Dirichlet process generalised Pólya urn process big data 
Semiparametric fractional imputation using empirical likelihood in survey sampling被引量：1
《Statistical Theory and Related Fields》2017年第1期69-81,共13页Sixia Chen Jae kwang Kim 
National Institutes of Health;National Institute of General Medical Sciences[grant number 1 U54GM104938];Okla-homa Shared Clinical and Translational Resources;Alter-ations and Renovations;Oversight and Management Core and IDeA-CTR;NSF[grant number MMS-1324922].
The empirical likelihood method is a powerful tool for incorporating moment conditions in statistical inference.We propose a novel application of the empirical likelihood for handling itemnonresponse in survey samplin...
关键词：Item non-response missing data quantile estimation robust estimation 
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