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Bayesian-inspired minimum contamination designs under a double-pair conditional effect model
《Statistical Theory and Related Fields》2023年第4期336-349,共14页Ming-Chung Chang 
We gratefully acknowledge funding from Academia Sinica[Grant Number AS-CDA-111-M05];from National Science and Technology Council[Grant Number 111-2118-M-001-001-MY3].
In two-level fractional factorial designs,conditional main effects can provide insights by which to analyze factorial effects and facilitate the de-aliasing of fully aliased two-factor interactions.Con-ditional main e...
关键词：Minimum aberration two-level factorials effect hierarchy functional prior 
Bayesian autoregressive adaptive refined descriptive sampling algorithm in the Monte Carlo
《Statistical Theory and Related Fields》2023年第3期177-187,共11页Djoweyda Ghouil Megdouda Ourbih-Tari 
This paper deals with the Monte Carlo Simulation in a Bayesian framework.It shows the impor-tance of the use of Monte Carlo experiments through refined descriptive sampling within the autoregressive model Xt=ρXt-1+Yt...
关键词：Monte Carlo simulation refined descriptive sampling methods variance reduction autoregressive process Bayesian estimation 
Bayesian penalized model for classification and selection of functional predictors using longitudinal MRI data from ADNI
《Statistical Theory and Related Fields》2022年第4期327-343,共17页Asish Banik Taps Maiti Andrew Bender 
This work was supported by Directorate for Mathematical and Physical Sciences[1924724].
The main goal of this paper is to employ longitudinal trajectories in a significant number of sub-regional brain volumetric MRI data as statistical predictors for Alzheimer's disease(AD)clas-sification.We use logistic...
关键词：Alzheimer's disease basis spline Polya-gamma augmentation Bayesian group lss spike and-slab prior Gibbs sampler:volumetric MRI ADNI 
A resampling approach to estimation of the linking variance in the Fay–Herriot model
《Statistical Theory and Related Fields》2019年第2期170-177,共8页Snigdhansu Chatterjee 
This research is partially supported by the National Science Foundation(NSF)[grant numbers#DMS-1622483 and#DMS-1737918].
In the Fay–Herriot model,we consider estimators of the linking variance obtained using different types of resampling schemes.The usefulness of this approach is that even when the estimator from the original data fall...
关键词：Linking variance Prasad–Rao estimator paired bootstrap m-out-of-n bootstrap Bayesian bootstrap 
Combining multiple imperfect data sources for small area estimation:a Bayesian model of provincial fertility rates in Cambodia被引量：1
《Statistical Theory and Related Fields》2019年第2期178-185,共8页Junni L.Zhang John Bryant 
Demographic estimation becomes a problem of small area estimation when detaileddisaggregation leads to small cell counts.The usual difficulties of small area estimation are compounded when the available data sources c...
关键词：Measurement error Bayesian hierarchical model coverage errors FERTILITY Cambodia small area estimation 
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 
Objective Bayesian hypothesis testing and estimation for the intraclass model
《Statistical Theory and Related Fields》2018年第1期37-47,共11页Duo Zhang Daojiang He Xiaoqian Sun Tao Lu Min Wang 
The intraclass correlation coefficient (ICC) plays an important role in various fields of study asa coefficient of reliability. In this paper, we consider objective Bayesian analysis for the ICCin the context of norma...
关键词：Intraclass correlation coefficient Bayesian reference criterion intrinsic discrepancy hypothesis testing intrinsic estimator reference priors 
Bayesian functional enrichment analysis for the Reactome database
《Statistical Theory and Related Fields》2017年第2期185-193,共9页Jing Cao 
This work has been supported in part by National Institutes of Health(NIH)[grant number 1R15HG006365-01];National Science Foundation(NSF)[grant number IIS-1302564].
The first step in the analysis of high-throughput experiment results is often to identify genes orproteins with certain characteristics, such as genes being differentially expressed (DE). To gainmore insights into the...
关键词：Functional enrichment analysis Reactome hypergeometric P value Bayesian hierarchical logistic model conditional autoregressive prior 
Statistical inference for zero-and-one-inflated poisson models被引量：11
《Statistical Theory and Related Fields》2017年第2期216-226,共11页Yincai Tang Wenchen Liu Ancha Xu 
The research is supported by the Natural Science Foundation of China(Nos.11271136,81530086,11671303,11201345);the 111 Project of China(No.B14019);the Natural Science Foundation of Zhejiang Province(No.LY15G010006);the China Postdoctoral Science Foundation(No.2015M572598);National Natural Science Foundation of China(CN)[grant number 11671303],[grant number 11201345]:Ministry of Education of the People’s Republic of China(CN)[grant number B14019];China Postdoctoral Science Foundation(CN)[grant number 2015M572598];National Natural Science Foundation of China(CN)[grant number 11271136],[grant number 81530086];Natural Science Foundation of Zhejiang Province(CN)[grant number LY15G010006].
In this paper, a zero-and-one-inflated Poisson (ZOIP) model is studied. The maximum likelihoodestimation and the Bayesian estimation of the model parameters are obtained based on dataaugmentation method. A simulation ...
关键词：Zero-inflated Poisson model zero-and-one-inflated Poisson model MLE Bayesian estimate EM algorithm latent variable Gibbs sampling 
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