Works matching IS 00359254 AND DT 2019 AND VI 68 AND IP 5

Results: 21

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:

Tu, Chun‐Chen;
Forbes, Florence;
Lemasson, Benjamin;
Wang, Naisyin

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:

Mohammed, Shariq;
Dey, Dipak K.;
Zhang, Yuping

Publication type:

Article

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

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:

Maity, Arnab Kumar;
Carroll, Raymond J.;
Mallick, Bani K.

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:

Davies, Vinny;
Noè, Umberto;
Lazarus, Alan;
Gao, Hao;
Macdonald, Benn;
Berry, Colin;
Luo, Xiaoyu;
Husmeier, Dirk

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:

Economou, Theodoros;
Menary, Matthew B.

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

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:

Andridge, Rebecca R.;
West, Brady T.;
Little, Roderick J. A.;
Boonstra, Philip S.;
Alvarado‐Leiton, Fernanda

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:

Li, Xiaoye;
Zhao, Zhibiao

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:

Fauvernier, Mathieu;
Roche, Laurent;
Uhry, Zoé;
Tron, Laure;
Bossard, Nadine;
Remontet, Laurent

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:

Sachs, Michael C.;
Discacciati, Andrea;
Everhov, Åsa H.;
Olén, Ola;
Gabriel, Erin E.

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:

Dai, James Y.;
LeBlanc, Michael

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:

Selosse, Margot;
Jacques, Julien;
Biernacki, Christophe;
Cousson‐Gélie, Florence

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:

Wan, Fang;
Titman, Andrew C.;
Jaki, Thomas F.

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:

Price, Michael J.;
Yu, Cindy L.;
Hennessy, David A.;
Du, Xiaodong

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:

Kjærgaard, Søren;
Ergemen, Yunus Emre;
Kallestrup‐Lamb, Malene;
Oeppen, Jim;
Lindahl‐Jacobsen, Rune

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:

Cardot, Hervé;
Lecuelle, Guillaume;
Schlich, Pascal;
Visalli, Michel

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:

Domenicano, I.;
Ventz, S.;
Cellamare, M.;
Mak, R. H.;
Trippa, L.

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:

Sansom, Philip G.;
Williamson, Daniel B.;
Stephenson, David B.

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:

Ott, Miles Q.;
Gile, Krista J.;
Harrison, Matthew T.;
Johnston, Lisa G.;
Hogan, Joseph W.

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