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作者：Ohnishi, Yuki; Li, Fan
作者单位：Yale University; Yale University
摘要：Cluster randomized trials (CRTs) with multiple unstructured mediators present significant methodological challenges for causal inference due to within-cluster correlation, interference among units, and the complexity introduced by multiple mediators. Existing causal mediation methods often fall short in simultaneously addressing these complexities, particularly in disentangling mediator-specific effects under interference that are central to studying complex mechanisms. To address this gap, we...
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作者：Kim, Rakheon; Zhang, Jingfei
作者单位：Baylor University; Emory University
摘要：While covariance matrices have been widely studied in many scientific fields, relatively limited progress has been made on estimating conditional covariances that permits a large covariance matrix to vary with high-dimensional subject-level covariates. In this article, we present a new sparse covariance regression framework that models the covariance matrix as a function of subject-level covariates. In the context of co-expression quantitative trait locus (QTL) studies, our method can be used ...
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作者：Augustin, Nicole; Albrecht, Axel; Anaya-Izquierdo, Karim; Davis, Alice; Meining, Stefan; Puhlmann, Heike; Wood, Simon
作者单位：University of Edinburgh
摘要：Using German forest health monitoring data we investigate the main drivers leading to tree mortality and the association between defoliation and mortality; in particular (a) whether defoliation is a proxy for other covariates (climate, soil, water budget); (b) whether defoliation is a tree response that mitigates the effects of climate change and (c) whether there is a threshold of defoliation which could be used as an early warning sign for irreversible damage. Results show that environmental...
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作者：Dai, Wei; Zhang, Heping
作者单位：Yale University
摘要：Understanding the genetic architecture of brain functions is essential to clarify the biological etiologies of behavioral and psychiatric disorders. Functional connectivity, representing pairwise correlations of neural activities between brain regions, is moderately heritable. Current methods to identify single nucleotide polymorphisms (SNPs) linked to functional connectivity either neglect the complex structure of functional connectivity or fail to control false discoveries. Therefore, we pro...
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作者：Hyun, Sangwon
作者单位：University of California System; University of California Santa Cruz
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作者：Gioia, V.; Fasiolo, M.; Browell, J.; Bellio, R.
作者单位：University of Trieste; University of Bristol; University of Glasgow; University of Udine
摘要：Forecasts of regional electricity net-demand, consumption minus embedded generation, are an essential input for reliable and economic power system operation, and energy trading. While such forecasts are typically performed region by region, operations such as managing power flows require spatially coherent joint forecasts, which account for cross-regional dependencies. Here, we forecast the joint distribution of net-demand across the 14 regions constituting Great Britain's electricity network....
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作者：Zhang, Yuhua; Dempsey, Walter
作者单位：University of Michigan System; University of Michigan; Harvard University
摘要：Scientists are increasingly interested in discovering community structure from modern relational data arising on large-scale social networks. While many methods have been proposed for learning community structure, few account for the fact that these modern networks arise from processes of interactions in the population. We introduce block edge exchangeable models (BEEM) for the study of interaction networks with latent node-level community structure. The block vertex components model (B-VCM) i...
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作者：Guo, Xu; Li, Runze; Zhang, Zhe; Zou, Changliang
作者单位：Beijing Normal University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Nankai University
摘要：This article aims to develop an effective model-free inference procedure for high-dimensional data. We first reformulate the hypothesis testing problem via sufficient dimension reduction framework. With the aid of new reformulation, we propose a new test statistic and show that its asymptotic distribution is chi(2) distribution whose degree of freedom does not depend on the unknown population distribution. We further conduct power analysis under local alternative hypotheses. In addition, we st...
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作者：Melikechi, Omar; Miller, Jeffrey W.
作者单位：Harvard University; Harvard T.H. Chan School of Public Health
摘要：Stability selection is a popular method for improving feature selection algorithms. One of its key attributes is that it provides theoretical upper bounds on the expected number of false positives, E(FP), enabling false positive control in practice. However, stability selection often selects few features because existing bounds on E(FP) are relatively loose. In this article, we introduce a novel approach to stability selection based on integrating stability paths rather than maximizing over th...
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作者：Liu, Zhaoyang; Han, Tingxuan; Rubin, Donald B.; Deng, Ke
作者单位：Tsinghua University; Tsinghua University; Tsinghua University; Tsinghua University
摘要：Rerandomization is a powerful tool for experiment-based causal inference because it can better balance covariates than classic randomized designs, thereby leading to more accurate causal effect estimation. However, basic rerandomization and some of its extensions do not prioritize covariates that believed to be strongly associated with potential outcomes. To address this limitation, and thereby create more efficient rerandomization procedures, the quantification of covariate heterogeneity is a...
