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 4. 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
Revisiting the effects of maternal education on adolescents’ academic performance: Doubly robust estimation in a network-based observational study15
Spatiotemporal modelling with dynamic deformation for nonstationary covariance structures15
Multilevel emulation for stochastic computer models with application to large offshore wind farms13
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects12
Efficient Estimation of the Marginal Mean of Recurrent Events12
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
Saralees Nadarajah’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’11
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
High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure9
Wastewater surveillance using differentiable Gaussian processes8
Bayesian Multi-level Mixed-effects Model for Influenza Dynamics8
A Model-Based Approach to Predict Employee Compensation Components8
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
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
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
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
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
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
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
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
A novel CFA + EFA model to detect aberrant respondents4
Identifying regions of concomitant compound precipitation and wind speed extremes over Europe4
Modelling high-resolution spatio-temporal wind with deep echo state networks and stochastic partial differential equations4
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
Generalized functional additive mixed models with (functional) compositional covariates for areal Covid-19 incidence curves4
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using heavy subsampling4
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