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 2022-05-01 to 2026-05-01.)
ArticleCitations
Christine P Chai’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’47
Combining density forecast accuracy tests: an application to agricultural, energy, and metal commodities39
Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model32
Unconventional Policies Effects on Stock Market Volatility: The MAP Approach28
A Mixture-of-Experts model to deal with the rural/urban dichotomy in small area estimation23
Longitudinal canonical correlation analysis22
Joint-likelihood Bayesian model for urban heat island mapping with two crowdsourced datasets18
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC217
Spatiotemporal modelling with dynamic deformation for nonstationary covariance structures15
Revisiting the effects of maternal education on adolescents’ academic performance: Doubly robust estimation in a network-based observational study15
Multilevel emulation for stochastic computer models with application to large offshore wind farms13
Efficient Estimation of the Marginal Mean of Recurrent Events12
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects12
Saralees Nadarajah’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’11
Ankur Dutta’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’11
A functional regression model for heterogeneous BioGeoChemical Argo data in the Southern Ocean11
High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure9
Multiphasic stochastic epidemic models9
An adaptive functional regression framework for locally heterogeneous signals in spectroscopy9
Accommodating informative visit times for analysing irregular longitudinal data: a sensitivity analysis approach with balancing weights estimators9
A Model-Based Approach to Predict Employee Compensation Components8
Wastewater surveillance using differentiable Gaussian processes8
Bayesian Multi-level Mixed-effects Model for Influenza Dynamics8
Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach7
A Bayesian valuation framework for catastrophe bonds7
A multivariate pseudo-likelihood approach to estimating directional ocean wave models7
Estimating the consumption-based carbon footprint: a small area model as a tool for place-based policies7
Two-dimensional fused targeted ridge regression for health indicator prediction from accelerometer data7
Unsupervised Bayesian classification for models with scalar and functional covariates7
Adaptive Fisher’s method using weakly geometric grid for combining p -values with application to COVID-19 surveillance7
A spline-based time-varying reproduction number for modelling epidemiological outbreaks7
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data7
Modelling calibration uncertainty in networks of environmental sensors7
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer7
Analysing opportunity cost of care work using mixed effects random forests under aggregated auxiliary data7
Extending the Dixon and Coles model: an application to women’s football data7
Incorporating varying degrees of spatial cohesion in models of voter behaviour in the UK General Election 20246
A Bayesian Spatio-Temporal Analysis of Markets During the Finnish 1860s Famine6
Model-based detection and classification of premature contractions from photoplethysmography signals6
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data6
Missing data patterns in runners’ careers: do they matter?6
Reconstructing the Antarctic ice-sheet shape at the Last Glacial Maximum using ice-core data6
Polylogarithm models for heavy-tailed counts: approximate Bayesian inference and application to ecological networks6
Dynamic Disease Screening by Joint Modelling of Survival and Longitudinal Data6
Robust domain selection for functional data via interval-wise testing and effect size mapping5
Authors' reply to the Discussion of ‘Assessing present and future risk of water damage using building attributes, meteorology and topography’ at the first meeting on ‘Statistical aspects of climate ch5
A Bayesian spatio-temporal Poisson auto-regressive model for the disease infection rate: application to COVID-19 cases in England5
Statistical Integration of Heterogeneous Omics Data: Probabilistic Two-Way Partial Least Squares (PO2PLS)5
Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model5
Efficient forecasting and uncertainty quantification for large-scale account level Monte Carlo models of debt recovery5
Non-Parametric Bayesian Covariate-Dependent Multivariate Functional Clustering: An Application to Time-Series Data for Multiple Air Pollutants5
Inferring bivariate associations with continuous data from studies using respondent-driven sampling5
Exponential tilting for zero-inflated interval regression with applications to cyber security survey data5
A pseudo-response approach to constructing confidence intervals for the subset of patients expected to benefit from a new treatment5
A partially pooled network scale-up method model: detailed estimation of child sexual exploitation material trafficking prevalence in Philippine municipalities5
Contents of Volume 73, 20245
A design-based view of species richness estimation in environmental surveys5
Leveraging Network Structure to Improve Pooled Testing Efficiency5
A novel agreement statistic using data on uncertainty in ratings5
Modelling between- and within-season trajectories in elite athletic performance data5
A Nearest-Neighbour Gaussian Process Spatial Factor Model for Censored, Multi-Depth Geochemical Data5
A communication-efficient distributed Retire with application to the analysis of multi-site air-quality distributed data5
Correction to: Systemic risks in the shadow: an extreme value analysis of hedge funds4
Fused partitioned regression to integrate tumour progression and omics data in colorectal cancer prognosis4
tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction4
Bayesian emulation of geotechnical deterioration curves using quadratic and B-spline hierarchical models4
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity4
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome4
Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods4
Population-level task-evoked functional connectivity via Fourier analysis4
Gaussian process with dissolution spline kernel for in vitro dissolution testing4
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using heavy subsampling4
The geometry of touching: optimal transport to cluster playing styles and match outcomes in soccer4
Learning local cascading failure pattern from massive network failure data4
Adaptive hybrid control design for comparative clinical trials with historical control data4
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling4
Modelling physician visit frequency and costs using a copula additive distributional regression approach4
Modelling high-resolution spatio-temporal wind with deep echo state networks and stochastic partial differential equations4
Precision mental health: predicting heterogeneous treatment effects for depression through data integration4
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables4
Authors’ reply to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’4
Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors4
Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?4
Joint modelling of survival and backwards recurrence outcomes: an analysis of factors associated with fertility treatment in the U.S.4
Estimating causal effect in case–control studies with nondifferential misclassified outcomes4
A flexible mixed model for age-dependent performance: application to golf4
Species sensitivity distribution revisited: a Bayesian nonparametric approach4
Generalized functional additive mixed models with (functional) compositional covariates for areal Covid-19 incidence curves4
A novel CFA + EFA model to detect aberrant respondents4
Identifying regions of concomitant compound precipitation and wind speed extremes over Europe4
Optimal transport-based machine learning to match specific patterns: application to the detection of molecular regulation patterns in omics data3
A Tweedie Markov process and its application in fisheries stock assessment3
Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-23
Seconder of the vote of thanks to Healy et al. and contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’3
A semi-parametric maximum-likelihood analysis of measurement error in population size estimation3
Seconder of the vote of thanks to Narayanan, Kosmidis, and Dellaportas and contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from 3
Vine copula-based Bayesian classification for multivariate time series of electroencephalography eye states3
A multivariate Bayesian hierarchical model for small area estimation of criminal victimization rates in domains defined by age and sex3
Hierarchical confusion matrix for classification performance evaluation3
On the competitive facility location problem with a Bayesian spatial interaction model3
Location smoothed Bayesian additive regression trees: a method for interpretable and robust quality assurance of organ contours in radiotherapy treatment planning3
Flexible modelling of demographic transition processes with a Bayesian hierarchical B-splines model3
Bayesian modelling of effective and functional brain connectivity using hierarchical vector autoregressions3
Bats monitoring: a classification procedure of bats behaviours based on Hawkes processes3
A Bayesian latent class model for integrating multi-source longitudinal data: application to the CHILD cohort study3
Predicting 5G throughput with BAMMO, a boosted additive model for data with missing observations3
A fractional Hawkes process model for earthquake aftershock sequences3
Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data3
Multivariate longitudinal analysis for the association between brain atrophy and cognitive impairment in prodromal Huntington’s disease subjects3
Bayesian Modelling Strategies for Borrowing of Information in Randomised Basket Trials3
Fast spatial simulation of extreme high-resolution radar precipitation data using integrated nested Laplace approximations3
Enumeration of regular fractional factorial designs with four-level and two-level factors3
Bayesian inference of reproduction number from epidemiological and genetic data using particle MCMC3
Assessing Predictive Discrimination Performance of Biomarkers in The Presence of Treatment-Induced Dependent Censoring3
Spatiotemporal ETAS Model with a Renewal Main-Shock Arrival Process3
Estimating the information content of genetic sequence data3
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.2
Nonparametric group variable selection with multivariate response for connectome-based modelling of cognitive scores2
A Gaussian sliding windows regression model for hydrological inference2
Continuous crash risk estimation from discrete, multivariate crash count data2
Variable selection for individualised treatment rules with discrete outcomes2
Dynamical non-Gaussian modelling of spatial processes2
Nonhomogeneous hidden semi-Markov models for toroidal data2
Estimating the causal effects of multiple intermittent treatments with application to COVID-192
Joint space-time modelling for upper daily maximum and minimum temperature record-breaking2
Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses2
Systemic risks in the shadow: an extreme value analysis of hedge funds2
Modelling spatial heterogeneity in exposure buffers and risk: a hierarchical Bayesian approach2
Contents of Volume 71, 20222
Doubly regularized generalized linear models for spatial observations with high-dimensional covariates2
Inference for hidden stochastic compartmental models: application to typhoid fever dynamics in Mayotte2
A Unifying Framework for Flexible Excess Hazard Modelling with Applications in Cancer Epidemiology2
Specification Analysis for Technology Use and Teenager Well-Being: Statistical Validity and a Bayesian Proposal2
Miriam Cuba, Daniela Castro-Camilo, and Marian Scott’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’ by Healy e2
A multivariate spatial statistical model for statistical downscaling of sea surface temperature in the Great Barrier Reef region2
Bayesian Nonparametric Modelling of Multiple Graphs with an Application to Ethnic Metabolic Differences2
A patient similarity-embedded Bayesian approach to prognostic biomarker inference with application to thoracic cancer immunity2
Measuring the impact of new risk factors within survival models2
Identifying irregular activity sequences: an application to passive household monitoring2
Quantile regression for longitudinal within-race running data: the 2022 New York City Marathon2
Multilevel Network Item Response Modelling for Discovering Differences between Innovation and Regular School Systems in Korea2
Robust functional ANOVA with application to additive manufacturing2
A new method for jump detection: analysis of jumps in the S&P 500 financial index2
Counterfactual survival Q-learning via Buckley–James boosting with applications to ACTG 175 and CALGB 89232
Applied Statistics2
Christian Rohrbeck’s contribution to the discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’2
Adaptive lasso for current status survival data under randomized response: application to extramarital behaviour in Taiwan2
CAViaR models for Value-at-Risk and Expected Shortfall with long range dependency features2
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 Ir2
Understanding power grid network vulnerability through the stochastic lens of network motif evolution2
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, Ko2
1
Measuring Diachronic Sense Change: New Models and Monte Carlo Methods for Bayesian Inference1
On the PM2.5–mortality association: a Bayesian model for spatio-temporal confounding1
Issue Information1
A Bayesian hierarchical framework to integrate dietary exposure and biomarker measurements into aetiological models1
Combining Cytotoxic Agents with Continuous Dose Levels in Seamless Phase I-II Clinical Trials1
Augmenting predictive models in forensic psychiatry with Cultural Consensus Theory1
Assessing present and future risk of water damage using building attributes, meteorology, and topography*1
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.1
Revisiting the cumulative incidence function with competing risks data1
MUCE: Bayesian hierarchical modelling for the design and analysis of phase 1b multiple expansion cohort trials1
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models1
Richard L. Smiths contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
The importance of context in extreme value analysis with application to extreme temperatures in the U.S. and Greenland1
Semi-parametric Bayesian approach for population size estimation modelling the excess of singletons1
The determinants of Airbnb prices in New York City: a spatial quantile regression approach1
Predicting hazards of climate extremes: a statistical perspective1
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions1
Utility‐based Bayesian personalized treatment selection for advanced breast cancer1
Estimating a brain network predictive of stress and genotype with supervised autoencoders1
Proposer of the vote of thanks and contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
A noisy-input generalized additive model for relative sea-level change along the Atlantic coast of North America1
1
A parametric competing risks regression model with unknown dependent censoring1
Score Test for Assessing the Conditional Dependence in Latent Class Models and its Application to Record Linkage1
Application of offset ranking models to two-run ski races1
Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach1
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’1
Juliette Legrand and Thomas Opitz’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
A spatial stochastic frontier model introducing inefficiency spillovers1
Estimating subject-specific hazard functions1
Authors' reply to the Discussion of ‘The importance of context in extreme value analysis with application to extreme temperatures in the USA and Greenland’ at the first meeting on ‘Statistical aspects1
Causal inference with a functional outcome1
Jorge Mateu’s contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’ by Narayanan, Kosmidis, and Dellaportas1
Synergistic self-learning approach to establishing individualized treatment rules from multiple benefit outcomes in a calcium supplementation trial1
Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles1
Object oriented data analysis of surface motion time series in peatland landscapes1
Spatial modelling of infectious diseases with covariate measurement error1
Paul Smith’s contribution to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’ by Narayanan, Kosmidis, and Dellaportas1
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies1
A bi-endpoint expectation-maximisation algorithm for re-estimating sample size for the time-to-event endpoint under the blind condition1
Non-Separable Spatio-Temporal Models via Transformed Multivariate Gaussian Markov Random Fields1
Correction to: A changepoint approach to modelling nonstationary soil moisture dynamic1
Spatially varying deep functional neural network: application in large-scale crop yield prediction1
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.1
An application of Saddlepoint approximation for period detection of stellar light observations1
Multi-site modelling and reconstruction of past extreme skew surges along the French Atlantic coast1
Hierarchical dynamic modelling for individualized Bayesian forecasting1
Joint spatiotemporal modelling of zooplankton and whale abundance in a dynamic marine environment1
A changepoint approach to modelling nonstationary soil moisture dynamics1
Tree models for assessing covariate-dependent method agreement with an application to physical activity measurements1
On the combination of data smoothing and Markov-switching models1
Evaluating treatment effect modifiers using data from randomized two-sequence, two-period crossover clinical trials: application to a diabetes study1
CRP-Tree: a phylogenetic association test for binary traits1
Flexible marked spatio-temporal point processes with applications to event sequences from association football1
Robust Correspondence Analysis1
0.14079403877258