Eunji Lim (Adelphi University) proposes a penalized estimator to address boundary overfitting in isotonic regression. The estimator achieves strong uniform consistency and ensures consistency at domain boundaries.

In our November issue⤵️
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There are a few options for clustering mixed-type data. Eman Alamer (McMaster University), Michael Gallaugher (Baylor University), and Paul McNicholas (McMaster University) propose a model-based clustering approach to help address this gap.
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@alecasa.bsky.social and Davide Ferrari (@unibz.bsky.social) tackle the problem of selecting the number of components in Gaussian mixture models, where traditional single-model criteria like BIC often overlook model selection uncertainty.

Learn more⤵️
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Lu Mao (Univ. of Wisconsin-Madison) approximates win-loss statistics using only the marginal survival curves typically reported in clinical trials, enabling comparative interpretation of two-tiered outcomes even when joint data are unavailable
#meta-analysis
🔗 www.sciencedirect.com/science/arti...

A Ghoshal and JT Chen (Bowling Green State U) propose a sequentially rejective procedure for simultaneous inference on odds ratios, which is uniformly more powerful than Holm’s procedure when testing multiple odds ratios.

Read the letter in our November issue🔗 www.sciencedirect.com/science/arti...

🍂 In our September issue

Yves Tillé (University of Neuchâtel) proposes a simple bootstrap method for large-entropy, unequal-probability sampling designs in finite populations. An efficient implementation in R is also provided.

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🍂In our September issue🍂

Masanari Kimura (University of Melbourne) develops a higher-order asymptotic analysis for the semi-hard triplet loss using the Edgeworth expansion.

🔗Click here to read the letter
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