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 2022-01-01 to 2026-01-01.)
ArticleCitations
Christine P Chai’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’39
Characteristic and Necessary Minutiae in Fingerprints33
Combining density forecast accuracy tests: an application to agricultural, energy, and metal commodities31
Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model23
Exploring British Accents: Modelling the Trap–Bath Split with Functional Data Analysis19
Zero-State Coupled Markov Switching Count Models for Spatio-Temporal Infectious Disease Spread18
Unconventional Policies Effects on Stock Market Volatility: The MAP Approach18
A Mixture-of-Experts model to deal with the rural/urban dichotomy in small area estimation17
Regularized Regression on Compositional Trees with Application to MRI Analysis14
Longitudinal canonical correlation analysis14
Transformation Model Based Regression with Dependently Truncated and Independently Censored Data13
A functional regression model for heterogeneous BioGeoChemical Argo data in the Southern Ocean12
Spatiotemporal modelling with dynamic deformation for nonstationary covariance structures12
Multilevel emulation for stochastic computer models with application to large offshore wind farms10
Revisiting the effects of maternal education on adolescents’ academic performance: Doubly robust estimation in a network-based observational study10
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC210
Efficient Estimation of the Marginal Mean of Recurrent Events9
An adaptive functional regression framework for locally heterogeneous signals in spectroscopy9
Ankur Dutta’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’9
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects9
Saralees Nadarajah’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’9
A Discrete Kernel Stick-Breaking Model for Detecting Spatial Boundaries in Hydraulic Fracturing Wastewater Disposal Well Placement Across Ohio8
Bayesian Multi-level Mixed-effects Model for Influenza Dynamics8
High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure8
Accommodating informative visit times for analysing irregular longitudinal data: a sensitivity analysis approach with balancing weights estimators8
Two-dimensional fused targeted ridge regression for health indicator prediction from accelerometer data8
Unsupervised Bayesian classification for models with scalar and functional covariates8
Multiphasic stochastic epidemic models7
Second-Order Semi-Parametric Inference for Multivariate Log Gaussian Cox Processes7
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer7
Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach7
Wastewater surveillance using differentiable Gaussian processes7
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data6
A spline-based time-varying reproduction number for modelling epidemiological outbreaks6
A Bayesian Spatio-Temporal Analysis of Markets During the Finnish 1860s Famine6
Adaptive Fisher’s method using weakly geometric grid for combining p -values with application to COVID-19 surveillance6
Reconstructing the Antarctic ice-sheet shape at the Last Glacial Maximum using ice-core data6
Modelling calibration uncertainty in networks of environmental sensors6
Analysing opportunity cost of care work using mixed effects random forests under aggregated auxiliary data6
A multivariate pseudo-likelihood approach to estimating directional ocean wave models6
A Bayesian valuation framework for catastrophe bonds6
Incorporating varying degrees of spatial cohesion in models of voter behaviour in the UK General Election 20246
Analysing Cycling Sensors Data Through Ordinal Logistic Regression with Functional Covariates6
A Model-Based Approach to Predict Employee Compensation Components6
Extending the Dixon and Coles model: an application to women’s football data6
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data6
Model-based detection and classification of premature contractions from photoplethysmography signals5
Dynamic Disease Screening by Joint Modelling of Survival and Longitudinal Data5
Erratum5
A novel agreement statistic using data on uncertainty in ratings5
The Bayesian Spatial Bradley–Terry Model: Urban Deprivation Modelling in Tanzania5
A design-based view of species richness estimation in environmental surveys5
Exponential tilting for zero-inflated interval regression with applications to cyber security survey data5
A Bayesian spatio-temporal Poisson auto-regressive model for the disease infection rate: application to COVID-19 cases in England5
Inferring bivariate associations with continuous data from studies using respondent-driven sampling5
Missing data patterns in runners’ careers: do they matter?5
Leveraging Network Structure to Improve Pooled Testing Efficiency5
A pseudo-response approach to constructing confidence intervals for the subset of patients expected to benefit from a new treatment5
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
Adaptive hybrid control design for comparative clinical trials with historical control data4
Contents of Volume 73, 20244
Applied Statistics4
Precision mental health: predicting heterogeneous treatment effects for depression through data integration4
A Nearest-Neighbour Gaussian Process Spatial Factor Model for Censored, Multi-Depth Geochemical Data4
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
Generalized functional additive mixed models with (functional) compositional covariates for areal Covid-19 incidence curves4
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling4
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity4
Correction to: Systemic risks in the shadow: an extreme value analysis of hedge funds4
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables4
Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?4
Efficient forecasting and uncertainty quantification for large-scale account level Monte Carlo models of debt recovery4
Population-level task-evoked functional connectivity via Fourier analysis4
Statistical Integration of Heterogeneous Omics Data: Probabilistic Two-Way Partial Least Squares (PO2PLS)4
Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods4
A partially pooled network scale-up method model: detailed estimation of child sexual exploitation material trafficking prevalence in Philippine municipalities4
Estimating Mean Lifetime from Partially Observed Events in Nuclear Physics4
Authors’ reply to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’4
Learning local cascading failure pattern from massive network failure data4
Joint modelling of survival and backwards recurrence outcomes: an analysis of factors associated with fertility treatment in the U.S.4
Lifting Scheme for Streamflow Data in River Networks4
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using heavy subsampling4
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome4
Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model4
Identifying regions of concomitant compound precipitation and wind speed extremes over Europe4
Non-Parametric Bayesian Covariate-Dependent Multivariate Functional Clustering: An Application to Time-Series Data for Multiple Air Pollutants4
A novel CFA + EFA model to detect aberrant respondents4
A flexible mixed model for age-dependent performance: application to golf4
Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors4
Fast spatial simulation of extreme high-resolution radar precipitation data using integrated nested Laplace approximations4
The geometry of touching: optimal transport to cluster playing styles and match outcomes in soccer4
tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction4
Gaussian process with dissolution spline kernel for in vitro dissolution testing4
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