Works matching IS 13697412 AND DT 2022 AND VI 84 AND IP 5
Results: 18
Segmenting time series via self‐normalisation.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1699, doi. 10.1111/rssb.12552
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- Article
CovNet: Covariance networks for functional data on multidimensional domains.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1785, doi. 10.1111/rssb.12551
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- Article
Empirical likelihood‐based inference for functional means with application to wearable device data.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1947, doi. 10.1111/rssb.12543
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High‐dimensional principal component analysis with heterogeneous missingness.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 2000, doi. 10.1111/rssb.12550
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ZAP: Z$$ Z $$‐value adaptive procedures for false discovery rate control with side information.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1886, doi. 10.1111/rssb.12557
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- Article
Contents of volume 84, 2022.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 2088, doi. 10.1111/rssb.12558
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- Article
Structure learning for extremal tree models.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 2055, doi. 10.1111/rssb.12556
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A statistical test to reject the structural interpretation of a latent factor model.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 2032, doi. 10.1111/rssb.12555
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- Article
Linear regression and its inference on noisy network‐linked data.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1851, doi. 10.1111/rssb.12554
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General Bayesian loss function selection and the use of improper models.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1640, doi. 10.1111/rssb.12553
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- Article
Calibrating the scan statistic: Finite sample performance versus asymptotics.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1608, doi. 10.1111/rssb.12549
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Exact clustering in tensor block model: Statistical optimality and computational limit.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1666, doi. 10.1111/rssb.12547
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Dimension‐free mixing for high‐dimensional Bayesian variable selection.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1751, doi. 10.1111/rssb.12546
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- Article
An approximation algorithm for blocking of an experimental design.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1726, doi. 10.1111/rssb.12545
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Conditional independence testing in Hilbert spaces with applications to functional data analysis.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1821, doi. 10.1111/rssb.12544
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- Article
Causal inference with spatio‐temporal data: Estimating the effects of airstrikes on insurgent violence in Iraq.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1969, doi. 10.1111/rssb.12548
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- Article
Modelling the COVID‐19 infection trajectory: A piecewise linear quantile trend model*.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1589, doi. 10.1111/rssb.12453
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- Article
Issue Information.
- Published in:
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 5, p. 1587, doi. 10.1111/rssb.12437
- Publication type:
- Article