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 3. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Christine P Chai’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’25
Characteristic and Necessary Minutiae in Fingerprints24
Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model23
Combining density forecast accuracy tests: an application to agricultural, energy, and metal commodities20
Longitudinal canonical correlation analysis19
Exploring British Accents: Modelling the Trap–Bath Split with Functional Data Analysis19
Unconventional Policies Effects on Stock Market Volatility: The MAP Approach16
Zero-State Coupled Markov Switching Count Models for Spatio-Temporal Infectious Disease Spread15
A Mixture-of-Experts model to deal with the rural/urban dichotomy in small area estimation14
Regularized Regression on Compositional Trees with Application to MRI Analysis13
Transformation Model Based Regression with Dependently Truncated and Independently Censored Data13
Efficient Estimation of the Marginal Mean of Recurrent Events13
Multilevel emulation for stochastic computer models with application to large offshore wind farms12
Revisiting the effects of maternal education on adolescents’ academic performance: Doubly robust estimation in a network-based observational study11
Spatiotemporal modelling with dynamic deformation for nonstationary covariance structures10
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects10
Saralees Nadarajah’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’9
Analysing Cycling Sensors Data Through Ordinal Logistic Regression with Functional Covariates9
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC29
Ankur Dutta’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’9
A functional regression model for heterogeneous BioGeoChemical Argo data in the Southern Ocean9
An adaptive functional regression framework for locally heterogeneous signals in spectroscopy9
Bayesian Multi-level Mixed-effects Model for Influenza Dynamics8
Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach8
A Discrete Kernel Stick-Breaking Model for Detecting Spatial Boundaries in Hydraulic Fracturing Wastewater Disposal Well Placement Across Ohio8
Two-dimensional fused targeted ridge regression for health indicator prediction from accelerometer data8
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer8
Unsupervised Bayesian classification for models with scalar and functional covariates7
Modelling calibration uncertainty in networks of environmental sensors7
Multiphasic stochastic epidemic models7
High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure7
Wastewater surveillance using differentiable Gaussian processes7
A Model-Based Approach to Predict Employee Compensation Components6
A Bayesian Spatio-Temporal Analysis of Markets During the Finnish 1860s Famine6
Reducing the Number of Experiments Required for Modelling the Hydrocracking Process with Kriging Through Bayesian Transfer Learning6
Missing data patterns in runners’ careers: do they matter?6
A multivariate pseudo-likelihood approach to estimating directional ocean wave models6
Extending the Dixon and Coles model: an application to women’s football data6
6
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data6
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data6
The Bayesian Spatial Bradley–Terry Model: Urban Deprivation Modelling in Tanzania6
Analysing opportunity cost of care work using mixed effects random forests under aggregated auxiliary data6
Second-Order Semi-Parametric Inference for Multivariate Log Gaussian Cox Processes6
Accommodating informative visit times for analysing irregular longitudinal data: a sensitivity analysis approach with balancing weights estimators6
A Bayesian valuation framework for catastrophe bonds6
A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study6
A spline-based time-varying reproduction number for modelling epidemiological outbreaks6
A design-based view of species richness estimation in environmental surveys5
Model-based detection and classification of premature contractions from photoplethysmography signals5
A novel agreement statistic using data on uncertainty in ratings5
Leveraging Network Structure to Improve Pooled Testing Efficiency5
Reconstructing the Antarctic ice-sheet shape at the Last Glacial Maximum using ice-core data5
Inferring bivariate associations with continuous data from studies using respondent-driven sampling5
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
Dynamic Disease Screening by Joint Modelling of Survival and Longitudinal Data5
Statistical Integration of Heterogeneous Omics Data: Probabilistic Two-Way Partial Least Squares (PO2PLS)5
Exponential tilting for zero-inflated interval regression with applications to cyber security survey data5
A novel CFA + EFA model to detect aberrant respondents4
A pseudo-response approach to constructing confidence intervals for the subset of patients expected to benefit from a new treatment4
Non-Parametric Bayesian Covariate-Dependent Multivariate Functional Clustering: An Application to Time-Series Data for Multiple Air Pollutants4
A partially pooled network scale-up method model: detailed estimation of child sexual exploitation material trafficking prevalence in Philippine municipalities4
Contents of Volume 73, 20244
Identifying regions of concomitant compound precipitation and wind speed extremes over Europe4
A flexible mixed model for age-dependent performance: application to golf4
A Nearest-Neighbour Gaussian Process Spatial Factor Model for Censored, Multi-Depth Geochemical Data4
A Bayesian spatio-temporal Poisson auto-regressive model for the disease infection rate: application to COVID-19 cases in England4
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
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
Applied Statistics4
Efficient forecasting and uncertainty quantification for large-scale account level Monte Carlo models of debt recovery4
Erratum4
Fused Graphical Lasso for Brain Networks with Symmetries4
Dynamic Historical Data Borrowing Using Weighted Average4
Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?3
Generalized functional additive mixed models with (functional) compositional covariates for areal Covid-19 incidence curves3
A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands3
Estimating Mean Lifetime from Partially Observed Events in Nuclear Physics3
Bayesian Modelling Strategies for Borrowing of Information in Randomised Basket Trials3
tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction3
Nonparametric k-Sample Test on Shape Spaces with Applications to Mitochondrial Shape Analysis3
Learning local cascading failure pattern from massive network failure data3
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity3
Adaptive hybrid control design for comparative clinical trials with historical control data3
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling3
Flexible modelling of demographic transition processes with a Bayesian hierarchical B-splines model3
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using heavy subsampling3
Fast spatial simulation of extreme high-resolution radar precipitation data using integrated nested Laplace approximations3
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
Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors3
Bayesian modelling of effective and functional brain connectivity using hierarchical vector autoregressions3
Bayesian Criterion-Based Variable Selection3
Joint modelling of survival and backwards recurrence outcomes: an analysis of factors associated with fertility treatment in the U.S.3
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables3
Authors’ reply to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’3
Lifting Scheme for Streamflow Data in River Networks3
A Tweedie Markov process and its application in fisheries stock assessment3
Contents of Volume 70, 20213
Location smoothed Bayesian additive regression trees: a method for interpretable and robust quality assurance of organ contours in radiotherapy treatment planning3
Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-23
Applied Statistics3
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