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Volume 74, Issue 1, January 2025
Original Articles
Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 1–17, https://doi.org/10.1093/jrsssc/qlae042
Automatic locally stationary time series forecasting with application to predicting UK gross value added time series
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 18–33, https://doi.org/10.1093/jrsssc/qlae043
A noisy-input generalized additive model for relative sea-level change along the Atlantic coast of North America
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 34–82, https://doi.org/10.1093/jrsssc/qlae044
Measuring the impact of new risk factors within survival models
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 83–99, https://doi.org/10.1093/jrsssc/qlae045
A Bayesian complex-valued latent variable model applied to functional magnetic resonance imaging
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 100–125, https://doi.org/10.1093/jrsssc/qlae046
Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 126–141, https://doi.org/10.1093/jrsssc/qlae048
Nonhomogeneous hidden semi-Markov models for toroidal data
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 142–166, https://doi.org/10.1093/jrsssc/qlae049
Extending the Dixon and Coles model: an application to women’s football data
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 167–186, https://doi.org/10.1093/jrsssc/qlae050
tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 187–203, https://doi.org/10.1093/jrsssc/qlae051
Sparse inference of the human haematopoietic system from heterogeneous and partially observed genomic data
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 204–228, https://doi.org/10.1093/jrsssc/qlae052
Modelling particle number size distribution: a continuous approach
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 229–248, https://doi.org/10.1093/jrsssc/qlae053
Predicting 5G throughput with BAMMO, a boosted additive model for data with missing observations
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 74, Issue 1, January 2025, Pages 249–273, https://doi.org/10.1093/jrsssc/qlae054
