Statistical Depth Meets Machine Learning: Kernel Mean Embeddings and Depth in Functional Data Analysis.
- Published in:
- International Statistical Review, 2025, v. 93, n. 2, p. 317, doi. 10.1111/insr.12611
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- Publication type:
- Article
Works matching IS 03067734 AND DT 2025 AND VI 93 AND IP 2
Results: 8
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How Do Applied Researchers Use the Causal Forest? A Methodological Review.
- Published in:
- International Statistical Review, 2025, v. 93, n. 2, p. 288, doi. 10.1111/insr.12610
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- Publication type:
- Article
3
Feature Screening for Ultrahigh Dimensional Mixed Data via Wasserstein Distance.
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- International Statistical Review, 2025, v. 93, n. 2, p. 267, doi. 10.1111/insr.12609
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- Publication type:
- Article
4
Revisiting Estimation of Number of Trials in Binomial Distribution.
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- International Statistical Review, 2025, v. 93, n. 2, p. 246, doi. 10.1111/insr.12608
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- Publication type:
- Article
5
On the Number of Components for Matrix‐Variate Mixtures: A Comparison Among Information Criteria.
- Published in:
- International Statistical Review, 2025, v. 93, n. 2, p. 222, doi. 10.1111/insr.12607
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- Publication type:
- Article
6
Chance‐Corrected Interrater Agreement Statistics for Two‐Rater Dichotomous Responses: A Method Review With Comparative Assessment Under Possibly Correlated Decisions.
- Published in:
- International Statistical Review, 2025, v. 93, n. 2, p. 199, doi. 10.1111/insr.12606
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- Publication type:
- Article
7
A Conversation With Amy Racine‐Poon.
- Published in:
- International Statistical Review, 2025, v. 93, n. 2, p. 183, doi. 10.1111/insr.12605
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- Publication type:
- Article
8
Issue Information.
- Published in:
- International Statistical Review, 2025, v. 93, n. 2, p. 1, doi. 10.1111/insr.12579
- Publication type:
- Article