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- A statistical test to reject the structural interpretation of a latent
factor model-
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Tyler J. VanderWeele; Stijn Vansteelandt Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 2032-2054, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12555 Issue No: Vol. 84, No. 5 (2022)
- ZAP: Z$$ Z $$‐value adaptive procedures for false discovery rate
control with side information-
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Dennis Leung; Wenguang Sun Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1886-1946, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12557 Issue No: Vol. 84, No. 5 (2022)
- Calibrating the scan statistic: Finite sample performance versus
asymptotics-
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Guenther Walther; Andrew Perry Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1608-1639, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12549 Issue No: Vol. 84, No. 5 (2022)
- Empirical likelihood‐based inference for functional means with
application to wearable device data-
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Hsin‐wen Chang; Ian W. McKeague Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1947-1968, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12543 Issue No: Vol. 84, No. 5 (2022)
- Linear regression and its inference on noisy network‐linked data
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Can M. Le; Tianxi Li Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1851-1885, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12554 Issue No: Vol. 84, No. 5 (2022)
- General Bayesian loss function selection and the use of improper
models-
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Jack Jewson; David Rossell Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1640-1665, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12553 Issue No: Vol. 84, No. 5 (2022)
- An approximation algorithm for blocking of an experimental design
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Bikram Karmakar
Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1726-1750, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12545 Issue No: Vol. 84, No. 5 (2022)
- Structure learning for extremal tree models
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Sebastian Engelke; Stanislav Volgushev Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 2055-2087, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12556 Issue No: Vol. 84, No. 5 (2022)
- Conditional independence testing in Hilbert spaces with applications to
functional data analysis-
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Anton Rask Lundborg; Rajen D. Shah,
Jonas Peters Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1821-1850, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12544 Issue No: Vol. 84, No. 5 (2022)
- High‐dimensional principal component analysis with heterogeneous
missingness-
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Ziwei Zhu; Tengyao Wang,
Richard J. Samworth Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 2000-2031, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12550 Issue No: Vol. 84, No. 5 (2022)
- Segmenting time series via self‐normalisation
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Zifeng Zhao; Feiyu Jiang,
Xiaofeng Shao Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1699-1725, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12552 Issue No: Vol. 84, No. 5 (2022)
- CovNet: Covariance networks for functional data on multidimensional
domains-
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Soham Sarkar; Victor M. Panaretos Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1785-1820, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12551 Issue No: Vol. 84, No. 5 (2022)
- Exact clustering in tensor block model: Statistical optimality and
computational limit-
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Authors:
Rungang Han; Yuetian Luo,
Miaoyan Wang,
Anru R. Zhang Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1666-1698, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12547 Issue No: Vol. 84, No. 5 (2022)
- Causal inference with spatio‐temporal data: Estimating the effects of
airstrikes on insurgent violence in Iraq-
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Authors:
Georgia Papadogeorgou; Kosuke Imai,
Jason Lyall,
Fan Li Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1969-1999, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12548 Issue No: Vol. 84, No. 5 (2022)
- Modelling the COVID‐19 infection trajectory: A piecewise linear
quantile trend model-
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Feiyu Jiang; Zifeng Zhao,
Xiaofeng Shao Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1589-1607, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12453 Issue No: Vol. 84, No. 5 (2022)
- Dimension‐free mixing for high‐dimensional Bayesian variable
selection-
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Authors:
Quan Zhou; Jun Yang,
Dootika Vats,
Gareth O. Roberts,
Jeffrey S. Rosenthal Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1751-1784, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12546 Issue No: Vol. 84, No. 5 (2022)
- Contents of volume 84, 2022
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Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 2088-2089, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12558 Issue No: Vol. 84, No. 5 (2022)
- Issue Information
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Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 5, Page 1587-1588, November 2022. PubDate: 2022-11-29T12:00:00-08:00 DOI: 10.1111/rssb.12437 Issue No: Vol. 84, No. 5 (2022)
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