Works matching IS 00359254 AND DT 2019 AND VI 68 AND IP 1
Results: 14
Multivariate posterior inference for spatial models with the integrated nested Laplace approximation.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 199, doi. 10.1111/rssc.12292
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Detecting epistatic selection with partially observed genotype data by using copula graphical models.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 141, doi. 10.1111/rssc.12287
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Dirichlet process mixtures of order statistics with applications to retail analytics.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 3, doi. 10.1111/rssc.12296
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Projecting UK mortality by using Bayesian generalized additive models.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 29, doi. 10.1111/rssc.12299
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- Article
On the ranking of test match batsmen.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 161, doi. 10.1111/rssc.12298
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Computer model calibration with large non‐stationary spatial outputs: application to the calibration of a climate model.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 51, doi. 10.1111/rssc.12309
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Spatial cluster detection in mobility networks: a copula approach.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 99, doi. 10.1111/rssc.12307
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Informing a risk prediction model for binary outcomes with external coefficient information.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 121, doi. 10.1111/rssc.12306
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- Article
Issue Information.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 1, doi. 10.1111/rssc.12300
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- Article
Distributed lag interaction models with two pollutants.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 79, doi. 10.1111/rssc.12297
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Bayesian log‐Gaussian Cox process regression: applications to meta‐analysis of neuroimaging working memory studies.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 217, doi. 10.1111/rssc.12295
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Two‐stage design for phase I–II cancer clinical trials using continuous dose combinations of cytotoxic agents.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 235, doi. 10.1111/rssc.12294
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Methods for preferential sampling in geostatistics.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 181, doi. 10.1111/rssc.12286
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Temporal trends of biomarkers and between‐biomarker associations.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 1, p. 251, doi. 10.1111/rssc.12290
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- Article