stat.ML
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New semi-supervised kernel test integrates covariates for improved two-sample testing
Researchers have developed a new semi-supervised kernel two-sample test designed to leverage abundant unlabeled covariate data. This method aims to improve performance by incorporating covariates, which standard tests o…
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New research characterizes mean testing limits under arbitrary truncation
This paper characterizes the fundamental limits of mean testing under arbitrary truncation, where a portion of the probability mass is hidden. The research identifies a detectability floor created by truncation bias and…
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New statistical method enables instrumental variable analysis without structural equations
Researchers have developed a new method for instrumental variable analysis that does not require assuming the existence of exact structural equations. This approach allows for debiased inference on least-squares solutio…
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Researchers develop new algorithm for optimal subdata selection in machine learning
Researchers have developed a new methodology for selecting optimal subsets of data when dealing with large datasets or expensive labeling. This approach, based on optimal approximate design theory, aims to retain maxima…
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New method offers exact, invariant decomposition for network meta-analysis
Researchers have developed a new method called contrast-space projection for network meta-analysis (NMA). This technique provides an exact and invariant decomposition of direct and indirect evidence contributions within…