Works matching IS 00359254 AND DT 2020 AND VI 69 AND IP 1
Results: 11
Modelling and prediction of financial trading networks: an application to the New York Mercantile Exchange natural gas futures market.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 195, doi. 10.1111/rssc.12387
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- Article
Inference for biomedical data by using diffusion models with covariates and mixed effects.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 167, doi. 10.1111/rssc.12386
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- Article
A full Bayesian implementation of a generalized partial credit model with an application to an international disability survey.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 131, doi. 10.1111/rssc.12385
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- Article
A time‐varying Bayesian joint hierarchical copula model for analysing recurrent events and a terminal event: an application to the Cardiovascular Health Study.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 151, doi. 10.1111/rssc.12382
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Estimating the probability of default for no‐default and low‐default portfolios.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 89, doi. 10.1111/rssc.12381
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- Article
Bayesian modelling of marked point processes with incomplete records: volcanic eruptions.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 109, doi. 10.1111/rssc.12380
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- Article
Selecting biomarkers for building optimal treatment selection rules by using kernel machines.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 69, doi. 10.1111/rssc.12379
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- Article
Zoom‐in–out joint graphical lasso for different coarseness scales.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 47, doi. 10.1111/rssc.12378
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- Article
Longitudinal dynamic functional regression.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 25, doi. 10.1111/rssc.12376
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- Article
Analysis of tornado reports through replicated spatiotemporal point patterns.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 3, doi. 10.1111/rssc.12375
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- Article
Issue Information.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 1, p. 1, doi. 10.1111/rssc.12358
- Publication type:
- Article