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中国人民大学统计学院讲师吴奔与埃默里大学郭颖教授、密歇根大学康健教授在《Journal of the American Statistical Association》发表合作论文。该研究提出了一种针对具有空间相依性的高维数据(如神经影像数据)的贝叶斯盲源分离模型。该模型利用阈值高斯过程构造了一种新的贝叶斯非参数先验,能很好地刻画信号源在空间上的光滑性与稀疏性,并实现信号源数量的自动选择。文章讨论...
近日,经济学科青年教师刘婧媛教授,与北京师范大学郭旭副教授,宾夕法尼亚州立大学李润泽教授、曾沐冬博士合作的题为“High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity”的论文在统计学国际顶尖期刊Jo...
The International Association for Statistical Computing (IASC) was founded during the 41st Session of the ISI in 1977, as a Section of the ISI.The objectives of the Association are to foster world-wid...
Bilingual semantic term association is very use-ful in cross-language information retrieval, statistical machine translation, and many other applications in natural language processing. In this paper,...
The International Chinese Statistical Association (ICSA) is a non-profit organization dedicated to educational, charitable, and scientific purposes. The Association was officially founded at the 1987 ...
In genome-wide association studies (GWAS), penalization is an important approach for identifying genetic markers associated with trait while mixed model is successful in accounting for a complicated d...
Multivariate linear mixed models (mvLMMs) have been widely used in many areas of genetics, and have attracted considerable recent interest in genome-wide association studies (GWASs). However, existing...
The vast majority of connections between complex disease and common genetic variants were identified through meta-analysis, a powerful approach that enables large samples sizes while protecting agains...
Due to rapid technological advances, a wide range of different measurements can be obtained from a given biological sample including single nucleotide polymorphisms, copy number variation, gene expres...
The paramount importance of replicating associations is well recognized in the genome-wide associaton (GWA) research community, yet methods for assessing replicability of associations are scarce. Publ...
We consider the problem of statistical inference on unknown quantities structured as a multiway table. We show that such multiway tables are naturally formed by arranging regression coecients in comp...
This paper investigates the property of the penalized estimating equations when both the mean and association structures are modelled. To select variables for the mean and association structures seque...
Many common diseases are highly polygenic, modulated by a large number genetic factors with small effects on suscep-tibility to disease. These small effects are difficult to map reliably in genetic as...
Association testing aims to discover the underlying relationship between genotypes (usually Single Nucleotide Polymorphisms, or SNPs) and phenotypes(attributes, or traits). The typically large data se...
We explore the use of generalized t priors on regression coefficients to help understand the nature of association signal within "hit regions" of genome-wide association studies.

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