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Volume 71, Issue 2, March 2022
ISSUE INFORMATION
Applied Statistics
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 269–270, https://doi.org/10.1111/rssc.12504
ORIGINAL ARTICLES
A Bayesian Spatio-Network Model for Multiple Adolescent Adverse Health Behaviours
George Gerogiannis and others
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 271–287, https://doi.org/10.1111/rssc.12531
The Bayesian Spatial Bradley–Terry Model: Urban Deprivation Modelling in Tanzania
Rowland G. Seymour and others
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 288–308, https://doi.org/10.1111/rssc.12532
Ranking Tailoring Variables for Constructing Individualized Treatment Rules: An Application to Schizophrenia
Jiacheng Wu and others
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 309–330, https://doi.org/10.1111/rssc.12533
Gaussian Process Modeling for Dissolution Curve Comparisons
Tony Pourmohamad and others
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 331–351, https://doi.org/10.1111/rssc.12535
Outcome-Guided Sparse K-Means for Disease Subtype Discovery via Integrating Phenotypic Data with High-Dimensional Transcriptomic Data
Lingsong Meng and others
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 352–375, https://doi.org/10.1111/rssc.12536
Real-Time Prediction of Severe Influenza Epidemics Using Extreme Value Statistics
Maud Thomas and Holger Rootzén
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 376–394, https://doi.org/10.1111/rssc.12537
Transformation Model Based Regression with Dependently Truncated and Independently Censored Data
Jing Qian and others
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 395–416, https://doi.org/10.1111/rssc.12538
Quantile Mixed Hidden Markov Models for Multivariate Longitudinal Data: An Application to Children's Strengths and Difficulties Questionnaire Scores
Luca Merlo and others
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 417–448, https://doi.org/10.1111/rssc.12539
Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks
Huang Huang and others
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 449–466, https://doi.org/10.1111/rssc.12540
Lifting Scheme for Streamflow Data in River Networks
Seoncheol Park and Hee-Seok Oh
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 467–490, https://doi.org/10.1111/rssc.12542
ERRATUM
Erratum
Suyu Liu and Ying Yuan
Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 2, March 2022, Pages 491–492, https://doi.org/10.1111/rssc.12541
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