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Journal of the Royal Statistical Society Series B: Statistical Methodology
IF
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70
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Journal Papers
67
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Journal Papers
67
Publication Date
Publication Date
IF
Citations
Semiparametric fiducial inference for Cox models
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-07-01
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Yifan Cui; Jan Hannig; Paul Edlefsen; null
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Recursive learning without collapse: a weighting-based stabilization framework
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-07-01
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Hengzhi He; Shirong Xu; Guang Cheng
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Online inference under over-parameterized models with hidden confounders
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-29
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Shuyan Chen; Xingdong Feng; Yeheng Ge; Tao Li; Mengyun Wu; null
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Lyle Gurrin’s and John Holmes’ contribution to the Discussion of ‘Regression by composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-28
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Lyle Gurrin; John Holmes
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David L. Dowe's contribution to the Discussion of ‘Regression by composition‘ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-24
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David L Dowe
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Stephen Senn's contribution to the discussion of ‘Regression by Composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-24
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Stephen Senn
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Structural classification of locally stationary time series based on second-order characteristics
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-23
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Chen Qian; Xiucai Ding; Lexin Li
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On the statistical analysis of grouped data: when Pearson χ2 and other divisible statistics are not goodness-of-fit
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-23
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Sara Algeri; Estate V Khmaladze
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I-Chen Lee and Weng-Kee Wong’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-22
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Lee I-Chen; Weng-Kee Wong
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Vern T Farewell’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-20
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Vernon T Farewell
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Davison’s contribution to the discussion of ‘Regression by composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-20
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Anthony C Davison
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Fukang Zhu’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-20
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Fukang Zhu
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Heather Battey’s invited contribution to the discussion of ‘Regression by composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-20
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Heather Battey
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López de Prado and Porcu’s contribution to the Discussion of ‘Regression by compositio’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-17
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Marcos López de Prado; Emilio Porcu
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Seconder of the vote of thanks to Farewell et al. and contribution to the Discussion of Regression by composition'
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-16
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Peter McCullagh
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Professor Garib Nath Singh’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-16
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Garib Nath Singh
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Cheng et al's contribution to the Discussion of ‘Regression by composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-15
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Kaiming Cheng; Rong Jiang; Jiangfeng Wang; Keming Yu
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Jingxin Yan, Lin Liu, Oliver Dukes, Qizhai Li, and Linbo Wang’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al.
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-15
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Jingxin Yan; Lin Liu; Oliver Dukes; Qizhai Li; Linbo Wang
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Gaffi, Legramanti, and Rimella’s contribution to the Discussion of ‘Regression by Composition’ by Farewell et al.
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-15
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Francesco Gaffi; Sirio Legramanti; Lorenzo Rimella
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Arun Chind’s contribution to the discussion of ‘Regression by composition’ by Farewell et al
Journal of the Royal Statistical Society Series B: Statistical Methodology
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2026-06-15
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Arun Peter Chind
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