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作者：Park, Kwangmoon; Keles, Sunduz
作者单位：University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
摘要：Motivated by the challenge of estimating effects of DNA methylation on 3D genomic contacts captured by multimodal single-cell Hi-C data, we consider the tensor-response partial least squares model with $ \mathcal{Y}=\mathcal{B}\times_{1}X+\mathcal{F} $, where the correlated high-dimensional predictors $ X\in\mathbb{R}<^>{n\times d_{1}} $ and the sparse and noisy high-dimensional responses $ \mathcal{Y}\in\mathbb{R}<^>{n\times\prod_{m}d_{m}} $ are observed, the low-rank and sparse partial least...
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作者：Kipnis, A.; Galili, B.; Yakhini, Z.
作者单位：Reichman University; Technion Israel Institute of Technology
摘要：We propose a method for comparing survival data based on higher criticism of $ p $-values obtained from many exact hypergeometric tests. The method accommodates noninformative right-censorship and is sensitive to hazard differences in unknown and relatively rare time intervals. It attains much better power against such differences than the log-rank test and its variants. We demonstrate the usefulness of our method in detecting rare and weak non-proportional hazard differences compared to exist...
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作者：Park, Kwangmoon; Keles, Sunduz
作者单位：University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
摘要：Motivated by the challenge of estimating effects of DNA methylation on 3D genomic contacts captured by multimodal single-cell Hi-C data, we consider the tensor-response partial least squares model with $ \mathcal{Y}=\mathcal{B}\times_{1}X+\mathcal{F} $, where the correlated high-dimensional predictors $ X\in\mathbb{R}<^>{n\times d_{1}} $ and the sparse and noisy high-dimensional responses $ \mathcal{Y}\in\mathbb{R}<^>{n\times\prod_{m}d_{m}} $ are observed, the low-rank and sparse partial least...
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作者：Kipnis, A.; Galili, B.; Yakhini, Z.
作者单位：Reichman University; Technion Israel Institute of Technology
摘要：We propose a method for comparing survival data based on higher criticism of $ p $-values obtained from many exact hypergeometric tests. The method accommodates noninformative right-censorship and is sensitive to hazard differences in unknown and relatively rare time intervals. It attains much better power against such differences than the log-rank test and its variants. We demonstrate the usefulness of our method in detecting rare and weak non-proportional hazard differences compared to exist...
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作者：Jin, Ying; Candes, Emmanuel J.
作者单位：University of Pennsylvania; Stanford University
摘要：This paper introduces novel weighted conformal $ p $-values and methods for model-free selective inference. The problem is as follows: given test units with covariates $ X $ and missing responses $ Y $, how do we select units for which the responses $ Y $ are larger than user-specified values while controlling the proportion of false positives? Can we achieve this without modelling assumptions on the data and without restriction on the model for predicting the responses? Finally, methods shoul...
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作者：Chang, Ting-Hsuan; Guo, Zijian; Malinsky, Daniel
作者单位：Columbia University; Zhejiang University
摘要：Algorithms for constraint-based causal discovery select graphical causal models among a space of possible candidates (e.g., all directed acyclic graphs) by executing a sequence of conditional independence tests. These may be used to inform the estimation of causal effects (e.g., average treatment effects) when there is uncertainty about which covariates ought to be adjusted for, or which variables act as confounders versus mediators. However, naively using the data twice, for model selection a...
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作者：Park, Jaesung; Jung, Sungkyu
作者单位：Seoul National University (SNU); Seoul National University (SNU)
摘要：This paper introduces a novel extension of Fr & eacute;chet means, referred to as generalized Fr & eacute;chet means, as a comprehensive framework for describing the characteristics of random elements. The generalized Fr & eacute;chet mean is defined as the minimizer of a cost function, and the framework encompasses various extensions of Fr & eacute;chet means that have appeared in the literature. The most distinctive feature of the proposed framework is that it allows the domain of minimizati...
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作者：Banerjee, Trambak; Gang, Bowen; He, Jianliang
作者单位：University of Kansas; Fudan University; Yale University
摘要：We introduce an integrative ranking and thresholding framework for fusing evidence from multiple testing procedures. The key innovation is a method that transforms binary testing decisions into compound $ e $-values, enabling the combination of findings across diverse data sources or studies. We demonstrate that our new framework ensures overall false discovery rate control, provided that the individual studies maintain their respective false discovery rate levels. The proposed approach is hig...
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作者：Ekvall, Karl Oskar; Bottai, Matteo
作者单位：University of Florida; State University System of Florida; University of Florida; Karolinska Institutet
摘要：We provide finite-sample distribution approximations that are uniform in the parameter for inference in linear mixed models. The focus is on variances and covariances of random effects in cases where existing theory fails because the covariance matrix is nearly or exactly singular and hence near or at the boundary of the parameter set. Quantitative bounds on the differences between the standard normal density and densities of linear combinations of the score function enable, for example, the a...
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作者：Garcia-Portugues, E.; Sorensen, M.
作者单位：University of Copenhagen
摘要：We provide a class of diffusion processes for continuous time-varying multivariate angular data with explicit transition probability densities, enabling exact likelihood inference. The presented diffusions are time reversible and can be constructed for any prespecified stationary distribution on the torus, including highly multimodal mixtures. We give results on asymptotic likelihood theory, allowing one-sample inference and tests of linear hypotheses for $ k $ groups of diffusions, including ...
