Works matching IS 00359254 AND DT 2023 AND VI 72 AND IP 1
Results: 10
On the competitive facility location problem with a Bayesian spatial interaction model.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 165, doi. 10.1093/jrsssc/qlad003
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Hierarchical dynamic modelling for individualized Bayesian forecasting.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 144, doi. 10.1093/jrsssc/qlad002
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Missing data patterns in runners' careers: do they matter?
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 213, doi. 10.1093/jrsssc/qlad009
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Efficient forecasting and uncertainty quantification for large-scale account level Monte Carlo models of debt recovery.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 188, doi. 10.1093/jrsssc/qlad008
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The determinants of Airbnb prices in New York City: a spatial quantile regression approach.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 104, doi. 10.1093/jrsssc/qlad001
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Dynamical non-Gaussian modelling of spatial processes.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 76, doi. 10.1093/jrsssc/qlac007
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Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 48, doi. 10.1093/jrsssc/qlac006
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Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 37, doi. 10.1093/jrsssc/qlac004
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Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 20, doi. 10.1093/jrsssc/qlac002
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An application of Saddlepoint approximation for period detection of stellar light observations.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2023, v. 72, n. 1, p. 1, doi. 10.1093/jrsssc/qlac001
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- Article