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Reposted by arXiv math.ST Statistics Theory
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Alan R. Pearse, Howard Bondell: Power-divergence copulas: A new class of Archimedean copulas, with an insurance application https://arxiv.org/abs/2510.06177 https://arxiv.org/pdf/2510.06177 https://arxiv.org/html/2510.06177
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Kurt Butler, Guanchao Feng, Petar Djuric: Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing https://arxiv.org/abs/2510.06165 https://arxiv.org/pdf/2510.06165 https://arxiv.org/html/2510.06165
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Matias D. Cattaneo, Michael Jansson, Kenichi Nagasawa: Robust Inference for Convex Pairwise Difference Estimators https://arxiv.org/abs/2510.05991 https://arxiv.org/pdf/2510.05991 https://arxiv.org/html/2510.05991
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Reposted by arXiv math.ST Statistics Theory
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Amalan Mahendran, Helen Thompson, James M. McGree: A subsampling approach for large data sets when the Generalised Linear Model is potentially misspecified https://arxiv.org/abs/2510.05902 https://arxiv.org/pdf/2510.05902 https://arxiv.org/html/2510.05902
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Martin Aichele, Igor Cialenco, Damian Jelito, Marcin Pitera: Coherent estimation of risk measures https://arxiv.org/abs/2510.05809 https://arxiv.org/pdf/2510.05809 https://arxiv.org/html/2510.05809
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Reposted by arXiv math.ST Statistics Theory
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Frederik Krabbe: A Note on "Quasi-Maximum-Likelihood Estimation in Conditionally Heteroscedastic Time Series: A Stochastic Recurrence Equations Approach" https://arxiv.org/abs/2510.05716 https://arxiv.org/pdf/2510.05716 https://arxiv.org/html/2510.05716
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Yuyao Wang, Yu-Hung Cheng, Debarghya Mukherjee, Huimin Cheng: Transfer Learning on Edge Connecting Probability Estimation under Graphon Model https://arxiv.org/abs/2510.05527 https://arxiv.org/pdf/2510.05527 https://arxiv.org/html/2510.05527
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Soufiane Atouani, Olivier Marchal, Julyan Arbel: Optimal sub-Gaussian variance proxy for 3-mass distributions https://arxiv.org/abs/2510.06132 https://arxiv.org/pdf/2510.06132 https://arxiv.org/html/2510.06132
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Andreas Anastasiou, Christophe Ley, Sophia Loizidou: Construction of optimal tests for symmetry on the torus and their quantitative error bounds https://arxiv.org/abs/2510.06055 https://arxiv.org/pdf/2510.06055 https://arxiv.org/html/2510.06055
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Robin Requadt, Housen Li, Axel Munk: Weak convergence of Bayes estimators under general loss functions https://arxiv.org/abs/2510.05645 https://arxiv.org/pdf/2510.05645 https://arxiv.org/html/2510.05645
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[2025-10-08 Wed (UTC), 5 new articles found for mathST Statistics Theory]
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Roberto Neglia, Andrea Cini, Michael M. Bronstein, Filippo Maria Bianchi: ResCP: Reservoir Conformal Prediction for Time Series Forecasting https://arxiv.org/abs/2510.05060 https://arxiv.org/pdf/2510.05060 https://arxiv.org/html/2510.05060
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Michele Caprio, Siu Lun Chau, Krikamol Muandet: When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates https://arxiv.org/abs/2510.04769 https://arxiv.org/pdf/2510.04769 https://arxiv.org/html/2510.04769
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Alexej Brauer, Paul Menzel: Gini-based Model Monitoring: A General Framework with an Application to Non-life Insurance Pricing https://arxiv.org/abs/2510.04556 https://arxiv.org/pdf/2510.04556 https://arxiv.org/html/2510.04556
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Reposted by arXiv math.ST Statistics Theory
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Tomasz G\'orecki, Miros{\l}aw Krzy\'sko, Felix Gnettner, Piotr Kokoszka: Two new approaches to multiple canonical correlation analysis for repeated measures data https://arxiv.org/abs/2510.04457 https://arxiv.org/pdf/2510.04457 https://arxiv.org/html/2510.04457
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Reposted by arXiv math.ST Statistics Theory
Reposted by arXiv math.ST Statistics Theory
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Mohsen Hariri, Amirhossein Samandar, Michael Hinczewski, Vipin Chaudhary: Don't Pass$\mathtt{@}k$: A Bayesian Framework for Large Language Model Evaluation https://arxiv.org/abs/2510.04265 https://arxiv.org/pdf/2510.04265 https://arxiv.org/html/2510.04265
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