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作者：Zhang, Wei; Wang, Fan; Yao, Fang
作者单位：Peking University; Columbia University
摘要：Research on the localization of the genetic basis associated with diseases or traits has been widely conducted in the last few decades. Scan methods have been developed for region-based analysis in whole-genome association studies, helping us better understand how genetics influences human diseases or traits, especially when the aggregated effects of multiple causal variants are present. In this paper, we propose a fast and effective algorithm coupling with high-dimensional test for simultaneo...
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作者：Boulin, Alexis; Di Bernardino, Elena; Laloe, Thomas; Toulemonde, Gwladys
作者单位：Centre National de la Recherche Scientifique (CNRS); Universite Cote d'Azur; Inria; Universite de Montpellier; Centre National de la Recherche Scientifique (CNRS)
摘要：We propose a new class of models for variable clustering called Asymptotic Independent block (AI-block) models, which defines population-level clusters based on the independence of the maxima of a multivariate stationary mixing random process among clusters. This class of models is identifiable, meaning that there exists a maximal element with a partial order between partitions, allowing for statistical inference. We also present an algorithm depending on a tuning parameter that recovers the c...
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作者：Oyet, Alwell; Sutradhar, Brajendra C.; Rao, R. Prabhakar
作者单位：Memorial University Newfoundland; Sri Sathya Sai Institute of Higher Learning
摘要：In this article we propose a general multinomial dynamic mixed logits model which explains how a multinomial/categorical response at a given time can be affected by (a) an individual's categorical fixed covariates, (b) certain category prone random effects, and (c) an individual's past multinomial responses. This model may be considered as a generalization of the (a) existing multinomial dynamic fixed models to the mixed model setup with category prone random effects; or (b) existing standard ...
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作者：Uematsu, Yoshimasa; Yamagata, Takashi
作者单位：Hitotsubashi University; University of York - UK; University of Osaka
摘要：This article proposes novel inferential procedures for discovering the network Granger causality in high-dimensional vector autoregressive models. In particular, we mainly offer two multiple testing procedures designed to control the false discovery rate (FDR). The first procedure is based on the limiting normal distribution of the t-statistics with the debiased lasso estimator. The second procedure is its bootstrap version. We also provide a robustification of the first procedure against any ...
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作者：Yu, Myeonghun; Wang, Yue; Xie, Siyu; Tan, Kean Ming; Zhou, Wen-Xin
作者单位：University of Michigan System; University of Michigan; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Northwestern University; University of Michigan System; University of Michigan; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
摘要：Expected shortfall (ES) has emerged as an important metric for characterizing the tail behavior of a random outcome, specifically associated with rarer events that entail severe consequences. In climate science, the threats of flooding and heatwaves loom large, impacting natural environments and human communities. In actuarial studies, a key observation in modeling insurance claim sizes is that features exhibit distinct effects in explaining small and large claims. This article concerns nonpar...
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作者：Iannario, Maria; Dasgupta, Nairanjana; Morrison, Jillian; Raton, Boca
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作者：Fry, Kevin; Panigrahi, Snigdha; Taylor, Jonathan
作者单位：Stanford University; University of Michigan System; University of Michigan
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作者：Agterberg, Joshua; Lubberts, Zachary; Arroyo, Jesus
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Virginia; Texas A&M University System; Texas A&M University College Station
摘要：Modern network datasets are often composed of multiple layers, resulting in collections of networks over the same set of vertices but with potentially different connectivity patterns on each network. These data require models and methods that are flexible enough to capture local and global differences across the networks while at the same time being parsimonious and tractable to yield computationally efficient and theoretically sound solutions that are capable of aggregating information across...
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作者：Smith, Michael Stanley; Yu, Weichang; Nott, David J.; Frazier, David T.
作者单位：University of Melbourne; University of Melbourne; National University of Singapore; Monash University
摘要：In copula models the marginal distributions and copula function are specified separately. We treat these as two modules in a modular Bayesian inference framework, and propose conducting modified Bayesian inference by cutting feedback. Cutting feedback limits the influence of potentially misspecified modules in posterior inference. We consider two types of cuts. The first limits the influence of a misspecified copula on inference for the marginals, which is a Bayesian analogue of the popular In...
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作者：Yue, Ye; Mao, Yicong; Read, Timothy D.; Fedirko, Veronika; Satten, Glen A.; Chen, Xuan; Zhan, Xiang; Hu, Yi-Juan
作者单位：Emory University; Rollins School Public Health; Peking University; Emory University; University of Texas System; UTMD Anderson Cancer Center; Emory University; Rollins School Public Health; Emory University; Huazhong Agricultural University; Southeast University - China; Peking University; Peking University
摘要：The most widely used technologies for profiling microbial communities are 16S marker-gene sequencing and shotgun metagenomic sequencing. Surprisingly, many microbiome studies have performed both experiments on the same cohort of samples. The two sequencing datasets often reveal consistent patterns of microbial signatures, suggesting that an integrative analysis of both datasets could enhance the testing power for these signatures. However, differential experimental biases, partially overlappin...
