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作者：Bolin, David; Saduakhas, Damilya; Simas, Alexandre B.
作者单位：King Abdullah University of Science & Technology; King Abdullah University of Science & Technology
摘要：The modelling of spatial point processes has advanced considerably, yet extending these models to non-Euclidean domains, such as road networks, remains a challenging problem. We propose a novel framework for log-Gaussian Cox processes on general compact metric graphs by leveraging Gaussian Whittle-Mat & eacute;rn fields, which are solutions to fractional-order stochastic differential equations on metric graphs. To achieve computationally efficient likelihood-based inference, we introduce a num...
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作者：Dharamshi, A.; Neufeld, A.; Gao, L. L.; Witten, D.; Bien, J.
作者单位：University of Washington; University of Washington Seattle; Williams College; University of British Columbia; University of Washington; University of Washington Seattle; University of Southern California
摘要：Recent work has explored data thinning, a generalization of sample splitting that involves decomposing a (possibly matrix-valued) random variable into independent components. In the special case of an $ n\times p $ random matrix with independent and identically distributed $ N_{p}(\mu,\Sigma) $ rows, Dharamshi et al. (2026)provided a comprehensive analysis of the settings in which thinning is or is not possible: briefly, if $ \Sigma $ is unknown then one can thin provided that $ n \gt 1 $. How...
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作者：Du, Jin-Hong; Roeder, Kathryn; Wasserman, Larry
作者单位：University of Hong Kong; University of Hong Kong; Carnegie Mellon University
摘要：Data integration methods aim to extract low-dimensional embeddings from high-dimensional outcomes to remove unwanted variation, such as batch effects and unmeasured covariates, across heterogeneous datasets. However, multiple hypothesis testing after integration can be biased due to data-dependent processes. We introduce a robust post-integrated inference method that accounts for latent heterogeneity by leveraging control outcomes. Using causal interpretations, we derive nonparametric identifi...
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作者：Hines, Oliver J.; Diaz-Ordaz, Karla; Vansteelandt, Stijn
作者单位：Columbia University; University of London; University College London; Ghent University
摘要：The average treatment effect is commonly used to quantify the main effect of a binary treatment on an outcome. Extensions to continuous treatments are usually based on the dose-response curve or shift interventions, but both require strong overlap conditions, and the resulting curves may be difficult to summarize. This article focuses instead on average derivative effects, which are scalar estimands related to infinitesimal shift interventions requiring only local overlap assumptions. Average ...
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作者：Zeng, Yiran; Zimmerman, Dale L.
作者单位：University of Iowa
摘要：We introduce a new type of test for complete spatial randomness that applies to mapped point patterns in a rectangle or a cube of any dimension. This is the first test of its kind to be based on characteristic functions and utilizes a weighted L-2 distance between the empirical and uniform characteristic functions. The test shows surprising connections with Ripley's K-function and Zimmerman's omega & strns;(2) statistic. It is also simple to calculate and does not require adjusting for edge ef...
