Works matching IS 00359254 AND DT 2019 AND VI 68 AND IP 5
Results: 21
Contents of volume 68, 2019.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1605, doi. 10.1111/rssc.12384
- Publication type:
- Article
Index of authors, volume 68, 2019.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1597, doi. 10.1111/rssc.12383
- Publication type:
- Article
Integration of survival and binary data for variable selection and prediction: a Bayesian approach.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1577, doi. 10.1111/rssc.12377
- By:
- Publication type:
- Article
Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1555, doi. 10.1111/rssc.12374
- By:
- Publication type:
- Article
A hidden semi‐Markov model for characterizing regime shifts in ocean density variability.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1529, doi. 10.1111/rssc.12373
- By:
- Publication type:
- Article
A time varying approach to the stock return–inflation puzzle.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1509, doi. 10.1111/rssc.12372
- By:
- Publication type:
- Article
Indices of non‐ignorable selection bias for proportions estimated from non‐probability samples.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1465, doi. 10.1111/rssc.12371
- By:
- Publication type:
- Article
Prediction with high dimensional regression via hierarchically structured Gaussian mixtures and latent variables.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1485, doi. 10.1111/rssc.12370
- By:
- Publication type:
- Article
Bayesian variable selection using spike‐and‐slab priors with application to high dimensional electroencephalography data by local modelling.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1305, doi. 10.1111/rssc.12369
- By:
- Publication type:
- Article
Multi‐dimensional penalized hazard model with continuous covariates: applications for studying trends and social inequalities in cancer survival.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1233, doi. 10.1111/rssc.12368
- By:
- Publication type:
- Article
Ensemble prediction of time‐to‐event outcomes with competing risks: a case‐study of surgical complications in Crohn's disease.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1431, doi. 10.1111/rssc.12367
- By:
- Publication type:
- Article
Case‐only trees and random forests for exploring genotype‐specific treatment effects in randomized clinical trials with dichotomous end points.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1371, doi. 10.1111/rssc.12366
- By:
- Publication type:
- Article
Analysing a quality‐of‐life survey by using a coclustering model for ordinal data and some dynamic implications.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1327, doi. 10.1111/rssc.12365
- By:
- Publication type:
- Article
Subgroup analysis of treatment effects for misclassified biomarkers with time‐to‐event data.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1447, doi. 10.1111/rssc.12364
- By:
- Publication type:
- Article
Are actuarial crop insurance rates fair?: an analysis using a penalized bivariate B‐spline method.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1207, doi. 10.1111/rssc.12363
- By:
- Publication type:
- Article
Forecasting causes of death by using compositional data analysis: the case of cancer deaths.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1351, doi. 10.1111/rssc.12357
- By:
- Publication type:
- Article
Estimating finite mixtures of semi‐Markov chains: an application to the segmentation of temporal sensory data.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1281, doi. 10.1111/rssc.12356
- By:
- Publication type:
- Article
Bayesian uncertainty‐directed dose finding designs.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1393, doi. 10.1111/rssc.12355
- By:
- Publication type:
- Article
State space models for non‐stationary intermittently coupled systems: an application to the North Atlantic oscillation.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1259, doi. 10.1111/rssc.12354
- By:
- Publication type:
- Article
Reduced bias for respondent‐driven sampling: accounting for non‐uniform edge sampling probabilities in people who inject drugs in Mauritius.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1411, doi. 10.1111/rssc.12353
- By:
- Publication type:
- Article
Issue Information.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1205, doi. 10.1111/rssc.12304
- Publication type:
- Article