Works matching IS 00359254 AND DT 2022 AND VI 71 AND IP 4
Results: 13
A unifying framework for flexible excess hazard modelling with applications in cancer epidemiology.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 1044, doi. 10.1111/rssc.12566
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A nearest‐neighbour Gaussian process spatial factor model for censored, multi‐depth geochemical data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 1014, doi. 10.1111/rssc.12565
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Reliability analysis of artificial intelligence systems using recurrent events data from autonomous vehicles.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 987, doi. 10.1111/rssc.12564
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Analysing cycling sensors data through ordinal logistic regression with functional covariates.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 969, doi. 10.1111/rssc.12563
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A Bayesian multi‐region radial composite reservoir model for deconvolution in well test analysis.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 951, doi. 10.1111/rssc.12562
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The modelling of movement of multiple animals that share behavioural features.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 932, doi. 10.1111/rssc.12561
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- Article
Improving cardio‐mechanic inference by combining in vivo strain data with ex vivo volume–pressure data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 906, doi. 10.1111/rssc.12560
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Modelling the extremes of seasonal viruses and hospital congestion: The example of flu in a Swiss hospital.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 884, doi. 10.1111/rssc.12559
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Multifidelity computer model emulation with high‐dimensional output: An application to storm surge.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 861, doi. 10.1111/rssc.12558
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Bayesian imputation of COVID‐19 positive test counts for nowcasting under reporting lag.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 834, doi. 10.1111/rssc.12557
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Highly irregular functional generalized linear regression with electronic health records.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 806, doi. 10.1111/rssc.12556
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Exploring British accents: Modelling the trap–bath split with functional data analysis.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 773, doi. 10.1111/rssc.12555
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- Article
Issue Information.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 4, p. 771, doi. 10.1111/rssc.12506
- Publication type:
- Article