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作者：Garcia-Portugues, Eduardo; Meilan-Vila, Andrea
作者单位：Universidad Carlos III de Madrid
摘要：A kernel density estimator for data on the polysphere S(d1)x & ctdot;xS(dr), with r,d(1),& mldr;,d(r)>= 1, is presented in this article. We derive the main asymptotic properties of the estimator, including mean square error, normality, and optimal bandwidths. We address the kernel theory of the estimator beyond the von Mises-Fisher kernel, introducing new kernels that are more efficient and investigating normalizing constants, moments, and sampling methods thereof. Plug-in and cross-validated ...
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作者：Iao, Su I.; Zhou, Yidong; Muller, Hans-Georg
作者单位：University of California System; University of California Davis
摘要：Advancements in modern science have led to the increasing availability of non-Euclidean data in metric spaces. This article addresses the challenge of modeling relationships between non-Euclidean responses and multivariate Euclidean predictors. We propose a flexible regression model capable of handling high-dimensional predictors without imposing parametric assumptions. Two primary challenges are addressed: the curse of dimensionality in nonparametric regression and the absence of linear struc...
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作者：Zhen, Yaoming; Du, Jin-Hong
作者单位：University of Toronto; Carnegie Mellon University; Carnegie Mellon University
摘要：Given the ubiquity of modularity in biological systems, module-level regulation analysis is vital for understanding biological systems across various levels and their dynamics. Current statistical analysis on biological modules predominantly focuses on either detecting the functional modules in biological networks or sub-group regression on the biological features without using the network data. This article proposes a novel network-based neighborhood regression framework whose regression func...
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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：Universite Cote d'Azur; Centre National de la Recherche Scientifique (CNRS); Inria; Centre National de la Recherche Scientifique (CNRS); Universite de Montpellier
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
