Works matching IS 00359254 AND DT 2023 AND VI 72 AND IP 5
Results: 27
Contents of Volume 72, 2023.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1512, doi. 10.1093/jrsssc/qlad107
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Reconstructing the Antarctic ice-sheet shape at the Last Glacial Maximum using ice-core data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1493, doi. 10.1093/jrsssc/qlad078
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Phase-type distributions for product return data with two-layer censoring.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1475, doi. 10.1093/jrsssc/qlad079
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Causal analysis at extreme quantiles with application to London traffic flow data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1452, doi. 10.1093/jrsssc/qlad080
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Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC<sup>2</sup>.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1435, doi. 10.1093/jrsssc/qlad055
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Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1413, doi. 10.1093/jrsssc/qlad056
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Hierarchical confusion matrix for classification performance evaluation.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1394, doi. 10.1093/jrsssc/qlad057
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Automated calibration for stability selection in penalised regression and graphical models.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1375, doi. 10.1093/jrsssc/qlad058
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Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1354, doi. 10.1093/jrsssc/qlad060
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Estimating default probabilities for no- and low-default portfolios: parameter specification via floor constraints.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1339, doi. 10.1093/jrsssc/qlad061
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Estimating the information content of genetic sequence data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1310, doi. 10.1093/jrsssc/qlad062
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A novel agreement statistic using data on uncertainty in ratings.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1293, doi. 10.1093/jrsssc/qlad063
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A Tweedie Markov process and its application in fisheries stock assessment.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1276, doi. 10.1093/jrsssc/qlad064
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A flexible mixed model for age-dependent performance: application to golf.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1260, doi. 10.1093/jrsssc/qlad065
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Model-based detection and classification of premature contractions from photoplethysmography signals.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1235, doi. 10.1093/jrsssc/qlad066
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Ron Yurko and Rebecca Nugent's contribution to the Discussion of 'Flexible marked spatio-temporal point processes with applications to event sequences from association football' by Narayanan, Kosmidis, and Dellaportas.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1134, doi. 10.1093/jrsssc/qlad069
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Modelling calibration uncertainty in networks of environmental sensors.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1187, doi. 10.1093/jrsssc/qlad075
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Estimating the causal effects of multiple intermittent treatments with application to COVID-19.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1162, doi. 10.1093/jrsssc/qlad076
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Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1139, doi. 10.1093/jrsssc/qlad077
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Authors' reply to the Discussion of 'Flexible marked spatio-temporal point processes with applications to event sequences from association football'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1135, doi. 10.1093/jrsssc/qlad101
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Robust functional ANOVA with application to additive manufacturing.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1210, doi. 10.1093/jrsssc/qlad074
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Mattia Stival and Lorenzo Schiavon's contribution to the Discussion of 'Flexible marked spatio-temporal point processes with applications to event sequences from association football' by Narayanan, Kosmidis, and Dellaportas.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1132, doi. 10.1093/jrsssc/qlad068
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Jorge Mateu's contribution to the Discussion of 'Flexible marked spatio-temporal point processes with applications to event sequences from association football' by Narayanan, Kosmidis, and Dellaportas.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1131, doi. 10.1093/jrsssc/qlad073
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Paul Smith's contribution to the Discussion of 'Flexible marked spatio-temporal point processes with applications to event sequences from association football' by Narayanan, Kosmidis, and Dellaportas.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1130, doi. 10.1093/jrsssc/qlad070
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Seconder of the vote of thanks to Narayanan, Kosmidis, and Dellaportas and contribution to the Discussion of 'Flexible marked spatio-temporal point processes with applications to event sequences from association football'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1129, doi. 10.1093/jrsssc/qlad072
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Proposer of the vote of thanks to Narayanan, Kosmidis and Dellaportas and contribution to the Discussion of 'Flexible marked spatio-temporal point processes with applications to event sequences from association football'.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1127, doi. 10.1093/jrsssc/qlad071
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Flexible marked spatio-temporal point processes with applications to event sequences from association football.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 5, p. 1095, doi. 10.1093/jrsssc/qlad085
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