Journal of the Royal Statistical Society Series C-Applied Statistics

Papers
(The median citation count of Journal of the Royal Statistical Society Series C-Applied Statistics is 1. 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
Unconventional Policies Effects on Stock Market Volatility: The MAP Approach21
Highly Irregular Functional Generalized Linear Regression with Electronic Health Records21
Identifying regions of concomitant compound precipitation and wind speed extremes over Europe18
Issue Information17
Specification Analysis for Technology Use and Teenager Well-Being: Statistical Validity and a Bayesian Proposal17
Contents of Volume 71, 202215
A spatial stochastic frontier model introducing inefficiency spillovers14
Exploring British Accents: Modelling the Trap–Bath Split with Functional Data Analysis14
Applied Statistics11
Corrigendum10
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
Warped multifidelity Gaussian processes for data fusion of skewed environmental data9
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
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
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
Response-Adaptive Rerandomization7
Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances7
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
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
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
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
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
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
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
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
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
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using heavy subsampling2
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
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
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
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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
Dynamic factor models for binary data in circular spaces: an application to the US Supreme Court2
Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses2
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
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables2
Estimating spatially varying health effects of wildland fire smoke using mobile health data2
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies2
A Bayesian Model for Estimating Sustainable Development Goal Indicator 4.1.2: School Completion Rates1
Nonhomogeneous hidden semi-Markov models for toroidal data1
Accommodating informative visit times for analysing irregular longitudinal data: a sensitivity analysis approach with balancing weights estimators1
A Bayesian valuation framework for catastrophe bonds1
Beyond Unidimensional Poverty Analysis Using Distributional Copula Models for Mixed Ordered-Continuous Outcomes1
Bayesian Modelling Strategies for Borrowing of Information in Randomised Basket Trials1
Applied Statistics1
Nowcasting COVID-19 Deaths in England by Age and Region1
Proposer of the vote of thanks and contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
A Semi-Parametric Integer-Valued Autoregressive Model with Covariates1
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer1
Non-parametric Calibration of Multiple Related Radiocarbon Determinations and their Calendar Age Summarisation1
Horseshoe prior Bayesian quantile regression1
Multiphasic stochastic epidemic models1
Mapping Malaria by Sharing Spatial Information Between Incidence and Prevalence Data Sets1
A Discrete Kernel Stick-Breaking Model for Detecting Spatial Boundaries in Hydraulic Fracturing Wastewater Disposal Well Placement Across Ohio1
Bayesian inference for the Markov-modulated Poisson process with an outcome process1
Estimating default probabilities for no- and low-default portfolios: parameter specification via floor constraints1
The Saturated Pairwise Interaction Gibbs Point Process as a Joint Species Distribution Model1
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects1
Estimating the causal effects of multiple intermittent treatments with application to COVID-191
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Assessing Seismic Origin of Geological Features by Fitting Equidistant Parallel Lines1
Bayesian state-space models for the modelling and prediction of the results of English Premier League football1
Contents of Volume 70, 20211
A Principal Stratification Approach to Estimating the Effect of Continuing Treatment after Observing Early Outcomes1
Nonlinear network-based quantitative trait prediction from biological data1
An adaptive functional regression framework for locally heterogeneous signals in spectroscopy1
Semi-Parametric Time-to-Event Modelling of Lengths of Hospital Stays1
Causal analysis at extreme quantiles with application to London traffic flow data1
A Bayesian Spatio-Network Model for Multiple Adolescent Adverse Health Behaviours1
Contents of Volume 72, 20231
Ankur Dutta’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
A Bayesian complex-valued latent variable model applied to functional magnetic resonance imaging1
Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?1
Joint modelling of survival and backwards recurrence outcomes: an analysis of factors associated with fertility treatment in the U.S.1
Analysing Cycling Sensors Data Through Ordinal Logistic Regression with Functional Covariates1
Measuring Diachronic Sense Change: New Models and Monte Carlo Methods for Bayesian Inference1
Modelling calibration uncertainty in networks of environmental sensors1
Association Plots: visualizing cluster-specific associations in high-dimensional correspondence analysis biplots1
Time Matters: How Default Resolution Times Impact Final Loss Rates1
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity1
Flexible Domain Prediction using Mixed Effects Random Forests1
Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach1
Bayesian Multi-level Mixed-effects Model for Influenza Dynamics1
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A Bayesian Multi-Region Radial Composite Reservoir Model for Deconvolution in Well Test Analysis1
tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction1
A Two-Field Geostatistical Model Combining Point and Areal Observations—A Case Study of Annual Runoff Predictions in the Voss Area1
Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer1
Sparse Reduced-Rank Regression for Exploratory Visualisation of Paired Multivariate Data1
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles1
Wastewater surveillance using differentiable Gaussian processes1
A Bayesian Spatio-Temporal Analysis of Markets During the Finnish 1860s Famine1
Saralees Nadarajah’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions1
Using natural strata when examining unmeasured biases in an observational study of neurological side effects of antibiotics1
Unsupervised Bayesian classification for models with scalar and functional covariates1
A changepoint approach to modelling nonstationary soil moisture dynamics1
High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure1
A Model-Free Approach for Testing Association1
Bayesian design with sampling windows for complex spatial processes1
Sequential One-step Estimator by Sub-sampling for Customer Churn Analysis with Massive Data sets1
Second-Order Semi-Parametric Inference for Multivariate Log Gaussian Cox Processes1
A design utility approach for preferentially sampled spatial data1
Two-dimensional fused targeted ridge regression for health indicator prediction from accelerometer data1
Improving Cardio-Mechanic Inference by Combining in Vivo Strain Data with Ex Vivo Volume–Pressure Data1
Real-Time Prediction of Severe Influenza Epidemics Using Extreme Value Statistics1
Semiparametric Model Averaging Prediction for Lifetime Data via Hazards Regression1
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