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中国人民大学统计学院讲师吴奔就盲源分离问题在《Journal of the American Statistical Association》发表合作论文（图）
吴奔 高维数据 贝叶斯统计
2024/11/26
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...
厦门大学青年教师刘婧媛合作论文于Journal of the American Statistical Association在线发表（图）
厦门大学王亚南经济研究院 统计学 基因学 遗传医学
2022/7/7
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...
International Association for Statistical Computing（IASC）
International Association for Statistical Computing IASC 国际统计学会
2017/3/22
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...
SBA-term: Sparse Bilingual Association for Terms
SBA-term Sparse Bilingual Association Terms
2016/1/19
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 ...
A Penalized Multi-trait Mixed Model for Association Mapping in Pedigree-based GWAS
Multivariate linear mixed model Penalization approach Feature selection 1 arXiv:1305.4413v1 [stat.ME] 19 May 2013 GWAS
2013/6/14
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...
Efficient Algorithms for Multivariate Linear Mixed Models in Genome-wide Association Studies
Efficient Algorithms Multivariate Linear Mixed Models Genome-wide Association Studies
2013/6/17
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...
A Distance-Based Test of Association Between Paired Heterogeneous Genomic Data
A Distance-Based Test Association Between Paired Heterogeneous Genomic Data
2013/4/28
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...
Replicability analysis for Genome-wide Association studies
Replicability analysis Genome-wide Association studies
2012/11/22
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...
Bayesian Analysis of Multiway Tables in Association Studies: A Model Comparison Approach
Bayesian Analysis Multiway Tables Association Studies Model Comparison Approach
2012/9/17
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...
Simultaneous Model Selection and Estimation for Mean and Association Structures with Clustered Binary Data
association clustered binary data generalized estimating equation logistic regression variable selection
2012/9/17
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...
Integrated analysis of variants and pathways in genome-wide association studies using polygenic models of disease
Integrated analysis of variants pathways genome-wide association studies polygenic models of disease
2012/9/18
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...
Simultaneous SNP identification in association studies with missing data
Hierarchical models Bayes models Gibbs sampling genome-wide association.
2012/9/18
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...
Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors
Bayesian Sparsity-Path-Analysis Genetic Association Signal
2011/7/5
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.