Optimal alpha spending for sequential analysis with binomial data.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 1141, doi. 10.1111/rssb.12379
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- Publication type:
- Article
Works matching IS 13697412 AND DT 2020 AND VI 82 AND IP 4
Results: 10
1
2
Graphical models for extremes.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 871, doi. 10.1111/rssb.12355
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- Publication type:
- Article
3
False discovery and its control in low rank estimation.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 997, doi. 10.1111/rssb.12387
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- Publication type:
- Article
4
Issue Information.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 869, doi. 10.1111/rssb.12331
- Publication type:
- Article
5
Superconsistent estimation of points of impact in non‐parametric regression with functional predictors.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 1115, doi. 10.1111/rssb.12386
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- Publication type:
- Article
6
Quasi‐Bayes properties of a procedure for sequential learning in mixture models.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 1087, doi. 10.1111/rssb.12385
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- Publication type:
- Article
7
Adaptive designs for optimal observed Fisher information.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 1029, doi. 10.1111/rssb.12378
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- Publication type:
- Article
8
Visualizing the effects of predictor variables in black box supervised learning models.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 1059, doi. 10.1111/rssb.12377
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- Publication type:
- Article
9
A unified data‐adaptive framework for high dimensional change point detection.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 933, doi. 10.1111/rssb.12375
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- Publication type:
- Article
10
A scalable estimate of the out‐of‐sample prediction error via approximate leave‐one‐out cross‐validation.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 965, doi. 10.1111/rssb.12374
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- Publication type:
- Article