Works matching IS 00359254 AND DT 2023 AND VI 72 AND IP 4
Results: 25
Authors' reply to the Discussion of 'Assessing present and future risk of water damage using building attributes, meteorology and topography' at the first meeting on 'Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 862, doi. 10.1093/jrsssc/qlad067
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- Article
Authors' reply to the Discussion of 'The importance of context in extreme value analysis with application to extreme temperatures in the USA and Greenland' at the first meeting on 'Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 869, doi. 10.1093/jrsssc/qlad059
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- Article
Juliette Legrand and Thomas Opitz's contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 858, doi. 10.1093/jrsssc/qlad054
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- Article
Saralees Nadarajah's contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 860, doi. 10.1093/jrsssc/qlad053
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- Article
Ankur Dutta's contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 857, doi. 10.1093/jrsssc/qlad052
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- Article
Valérie Chavez-Demoulin, Anthony C Davison and Erwan Koch's contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 856, doi. 10.1093/jrsssc/qlad051
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- Article
Anna Choi and Tze Leung Lai's contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 855, doi. 10.1093/jrsssc/qlad050
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- Article
Christine P Chai's contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 854, doi. 10.1093/jrsssc/qlad049
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- Article
Miguel de Carvalho, Alina Kumukova, and Vianey Palacios Ramirezs contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 853, doi. 10.1093/jrsssc/qlad048
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- Article
Christian Rohrbeck's contribution to the discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 852, doi. 10.1093/jrsssc/qlad047
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- Article
Richard L. Smiths contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 849, doi. 10.1093/jrsssc/qlad046
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- Article
Seconder of the vote of thanks and contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 847, doi. 10.1093/jrsssc/qlad045
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Proposer of the vote of thanks and contribution to the Discussion of 'The First Discussion Meeting on Statistical aspects of climate change'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 844, doi. 10.1093/jrsssc/qlad044
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- Article
Assessing present and future risk of water damage using building attributes, meteorology, and topography.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 809, doi. 10.1093/jrsssc/qlad043
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- Article
A parametric competing risks regression model with unknown dependent censoring.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 1079, doi. 10.1093/jrsssc/qlad042
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Two-dimensional fused targeted ridge regression for health indicator prediction from accelerometer data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 1064, doi. 10.1093/jrsssc/qlad041
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A design utility approach for preferentially sampled spatial data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 1041, doi. 10.1093/jrsssc/qlad040
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Association Plots: visualizing cluster-specific associations in high-dimensional correspondence analysis biplots.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 1023, doi. 10.1093/jrsssc/qlad039
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Vine copula-based Bayesian classification for multivariate time series of electroencephalography eye states.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 992, doi. 10.1093/jrsssc/qlad038
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Outcome trajectory estimation for optimal dynamic treatment regimes with repeated measures.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 976, doi. 10.1093/jrsssc/qlad037
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Identification of taxon through classification with partial reject options.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 937, doi. 10.1093/jrsssc/qlad036
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Estimating a brain network predictive of stress and genotype with supervised autoencoders.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 912, doi. 10.1093/jrsssc/qlad035
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The impact of directly observed therapy on the efficacy of Tuberculosis treatment: a Bayesian multilevel approach.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 889, doi. 10.1093/jrsssc/qlad034
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Nonparametric group variable selection with multivariate response for connectome-based modelling of cognitive scores.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 872, doi. 10.1093/jrsssc/qlad033
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The importance of context in extreme value analysis with application to extreme temperatures in the U.S. and Greenland.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 4, p. 829, doi. 10.1093/jrsssc/qlad020
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- Article