Journal of the Royal Statistical Society Series C-Applied Statistics

Papers
(The TQCC of Journal of the Royal Statistical Society Series C-Applied Statistics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Highly Irregular Functional Generalized Linear Regression with Electronic Health Records21
Unconventional Policies Effects on Stock Market Volatility: The MAP Approach21
Identifying regions of concomitant compound precipitation and wind speed extremes over Europe18
Specification Analysis for Technology Use and Teenager Well-Being: Statistical Validity and a Bayesian Proposal17
Issue Information17
Contents of Volume 71, 202215
Exploring British Accents: Modelling the Trap–Bath Split with Functional Data Analysis14
A spatial stochastic frontier model introducing inefficiency spillovers14
Applied Statistics11
Zero-State Coupled Markov Switching Count Models for Spatio-Temporal Infectious Disease Spread10
Dynamic Historical Data Borrowing Using Weighted Average10
Accounting for Missing Actors in Interaction Network Inference from Abundance Data10
Corrigendum10
Warped multifidelity Gaussian processes for data fusion of skewed environmental data9
Applied Statistics8
Testing for distributional structural change with unknown breaks: application to pricing crop insurance contracts8
Mixed-Frequency Bayesian Predictive Synthesis for Economic Nowcasting8
Semi-parametric Bayesian approach for population size estimation modelling the excess of singletons8
Christine P Chai’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’8
Urnings: A New Method for Tracking Dynamically Changing Parameters in Paired Comparison Systems8
Response-Adaptive Rerandomization7
Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances7
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome7
Emilio Porcu, Horst Simon, and Youssef Wehbe’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’ by Healy et al.7
Synergistic self-learning approach to establishing individualized treatment rules from multiple benefit outcomes in a calcium supplementation trial7
Investigating spatial scan statistics for multivariate functional data6
Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England6
Variable selection for individualised treatment rules with discrete outcomes6
Authors’ reply to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’6
Bayesian optimization for personalized dose-finding trials with combination therapies6
Multisensor Fusion of Remotely Sensed Vegetation Indices Using Space-Time Dynamic Linear Models6
Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model5
Estimating disease transmission in a closed population under repeated testing5
Comparison of paired ordinal data with mis-classification and covariates adjustment5
Combining density forecast accuracy tests: an application to agricultural, energy, and metal commodities5
Nonparametric group variable selection with multivariate response for connectome-based modelling of cognitive scores5
On the combination of data smoothing and Markov-switching models5
CRP-Tree: a phylogenetic association test for binary traits5
Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model5
Personalized dynamic super learning: an application in predicting hemodiafiltration convection volumes5
Population-level task-evoked functional connectivity via Fourier analysis5
A novel CFA + EFA model to detect aberrant respondents5
Penalised semi-parametric copula method for semi-competing risks data: application to hip fracture in elderly5
Longitudinal canonical correlation analysis5
Understanding power grid network vulnerability through the stochastic lens of network motif evolution5
Spatio-temporal forecasting for the US Drought Monitor5
Outcome-Guided Sparse K-Means for Disease Subtype Discovery via Integrating Phenotypic Data with High-Dimensional Transcriptomic Data4
Regularized Regression on Compositional Trees with Application to MRI Analysis4
The impact of directly observed therapy on the efficacy of Tuberculosis treatment: a Bayesian multilevel approach4
Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods4
Automated calibration for stability selection in penalised regression and graphical models4
A Mixture-of-Experts model to deal with the rural/urban dichotomy in small area estimation4
Characteristic and Necessary Minutiae in Fingerprints4
Measuring the impact of new risk factors within survival models4
Identification of taxon through classification with partial reject options4
A Unifying Framework for Flexible Excess Hazard Modelling with Applications in Cancer Epidemiology4
Multilevel Network Item Response Modelling for Discovering Differences between Innovation and Regular School Systems in Korea4
A Dynamic Structural Equation Approach to Estimate the Short-Term Effects of Air Pollution on Human Health4
Estimating the Effect of Health Service Delivery Interventions on Patient Length of Stay: A Bayesian Survival Analysis Approach4
Contents of Volume 73, 20244
3
Jorge Castillo-Mateo, Alan E. Gelfand, Ana C. Cebrián, and Jesús Asín’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ir3
Bayesian mortality modelling with pandemics: a vanishing jump approach3
A data fusion model for meteorological data using the INLA-SPDE method3
Accelerating Bayesian Estimation for Network Poisson Models Using Frequentist Variational Estimates3
Correction to: A changepoint approach to modelling nonstationary soil moisture dynamic3
A patient similarity-embedded Bayesian approach to prognostic biomarker inference with application to thoracic cancer immunity3
Estimation of the Size of Informal Employment Based on Administrative Records With Non-Ignorable Selection Mechanism3
Pólya-Gamma Data Augmentation and Latent Variable Models for Multivariate Binomial Data3
Applied Statistics3
Semiparametric Bayesian modelling of nonstationary joint extremes: How do big tech’s extreme losses behave?3
Jordan Richards, Myung Won Lee, Viviana Carcaiso, and Miguel de Carvalho’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to3
Christian Rohrbeck’s contribution to the discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’3
MUCE: Bayesian hierarchical modelling for the design and analysis of phase 1b multiple expansion cohort trials3
Estimating Mean Lifetime from Partially Observed Events in Nuclear Physics3
A flexible mixed model for age-dependent performance: application to golf3
Efficient Estimation of the Marginal Mean of Recurrent Events3
Inference About Complex Relationships Using Peak Height Data from DNA Mixtures3
Anthony C. Davison and Raphaël de Fondeville’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’ by Healy et al.3
Applied Statistics3
Alexa A. Sochaniwsky and Paul D. McNicholas’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’ by Healy et al.3
The Application of Continuous-Time Markov Chain Models in the Analysis of Choice Flume Experiments3
Mattia Stival and Lorenzo Schiavon’s contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’ by Narayanan, Ko3
Ranking Tailoring Variables for Constructing Individualized Treatment Rules: An Application to Schizophrenia3
Valérie Chavez-Demoulin, Anthony C Davison and Erwan Koch’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’3
Quantile Mixed Hidden Markov Models for Multivariate Longitudinal Data: An Application to Children's Strengths and Difficulties Questionnaire Scores3
Adaptive hybrid control design for comparative clinical trials with historical control data2
Multilevel emulation for stochastic computer models with application to large offshore wind farms2
Applied Statistics2
2
A two-sample tree-based test for hierarchically organized genomic signals2
Transformation Model Based Regression with Dependently Truncated and Independently Censored Data2
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects2
Augmenting predictive models in forensic psychiatry with Cultural Consensus Theory2
Multivariate sensitivity analysis for a large-scale climate impact and adaptation model2
Dynamic factor models for binary data in circular spaces: an application to the US Supreme Court2
Contour Models for Physical Boundaries Enclosing Star-Shaped and Approximately Star-Shaped Polygons2
A parametric competing risks regression model with unknown dependent censoring2
Models and methods for analysing clustered recurrent hospitalisations in the presence of COVID-19 effects2
2
Faecal shedding models for SARS-CoV-2 RNA among hospitalised patients and implications for wastewater-based epidemiology2
Spatiotemporal modelling with dynamic deformation for nonstationary covariance structures2
Identifying irregular activity sequences: an application to passive household monitoring2
Lifting Scheme for Streamflow Data in River Networks2
Revisiting the effects of maternal education on adolescents’ academic performance: Doubly robust estimation in a network-based observational study2
Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport Terminal2
Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses2
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using heavy subsampling2
A Computationally Efficient Bayesian Seemingly Unrelated Regressions Model for High-Dimensional Quantitative Trait Loci Discovery2
Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks2
Bayesian Nonparametric Modelling of Multiple Graphs with an Application to Ethnic Metabolic Differences2
A Model-Based Approach to Predict Employee Compensation Components2
Inferring the Sources of HIV Infection in Africa from Deep-Sequence Data with Semi-Parametric Bayesian Poisson Flow Models2
Modelling particle number size distribution: a continuous approach2
Estimating spatially varying health effects of wildland fire smoke using mobile health data2
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables2
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies2
Generalized functional additive mixed models with (functional) compositional covariates for areal Covid-19 incidence curves2
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC22
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling2
Non-parametric Bayesian approach to multiple treatment comparisons in network meta-analysis with application to comparisons of anti-depressants2
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