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 2021-08-01 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
Transformation Model Based Regression with Dependently Truncated and Independently Censored Data13
Efficient Estimation of the Marginal Mean of Recurrent Events13
Regularized Regression on Compositional Trees with Application to MRI Analysis13
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
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
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
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
Bayesian Multi-level Mixed-effects Model for Influenza Dynamics8
Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach8
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
Unsupervised Bayesian classification for models with scalar and functional covariates7
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
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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 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
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 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
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
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
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
Flexible modelling of demographic transition processes with a Bayesian hierarchical B-splines model3
Lifting Scheme for Streamflow Data in River Networks3
Fast spatial simulation of extreme high-resolution radar precipitation data using integrated nested Laplace approximations3
Contents of Volume 70, 20213
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
Applied Statistics3
Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?3
Authors’ reply to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’3
Generalized functional additive mixed models with (functional) compositional covariates for areal Covid-19 incidence curves3
A Tweedie Markov process and its application in fisheries stock assessment3
Estimating Mean Lifetime from Partially Observed Events in Nuclear Physics3
Location smoothed Bayesian additive regression trees: a method for interpretable and robust quality assurance of organ contours in radiotherapy treatment planning3
tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction3
Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-23
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity3
Adaptive hybrid control design for comparative clinical trials with historical control data3
A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands3
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling3
Bayesian Modelling Strategies for Borrowing of Information in Randomised Basket Trials3
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using heavy subsampling3
Nonparametric k-Sample Test on Shape Spaces with Applications to Mitochondrial Shape Analysis3
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
Learning local cascading failure pattern from massive network failure data3
A Unifying Framework for Flexible Excess Hazard Modelling with Applications in Cancer Epidemiology2
Assessing Predictive Discrimination Performance of Biomarkers in The Presence of Treatment-Induced Dependent Censoring2
Contents of Volume 71, 20222
Predicting 5G throughput with BAMMO, a boosted additive model for data with missing observations2
RNN-Based Counterfactual Prediction, With an Application to Homestead Policy and Public Schooling2
Estimating the information content of genetic sequence data2
A semi-parametric maximum-likelihood analysis of measurement error in population size estimation2
A new method for jump detection: analysis of jumps in the S&P 500 financial index2
Variable selection for individualised treatment rules with discrete outcomes2
Bayesian Nonparametric Modelling of Multiple Graphs with an Application to Ethnic Metabolic Differences2
Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses2
Applied Statistics2
Multilevel Network Item Response Modelling for Discovering Differences between Innovation and Regular School Systems in Korea2
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 2
Measuring the impact of new risk factors within survival models2
Robust functional ANOVA with application to additive manufacturing2
Specification Analysis for Technology Use and Teenager Well-Being: Statistical Validity and a Bayesian Proposal2
A Bayesian latent class model for integrating multi-source longitudinal data: application to the CHILD cohort study2
Bats monitoring: a classification procedure of bats behaviours based on Hawkes processes2
Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data2
On the competitive facility location problem with a Bayesian spatial interaction model2
A fractional Hawkes process model for earthquake aftershock sequences2
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
A patient similarity-embedded Bayesian approach to prognostic biomarker inference with application to thoracic cancer immunity2
Identifying irregular activity sequences: an application to passive household monitoring2
Christian Rohrbeck’s contribution to the discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’2
Understanding power grid network vulnerability through the stochastic lens of network motif evolution2
Enumeration of regular fractional factorial designs with four-level and two-level factors2
Nonparametric group variable selection with multivariate response for connectome-based modelling of cognitive scores2
Vine copula-based Bayesian classification for multivariate time series of electroencephalography eye states2
Accelerating Bayesian Estimation for Network Poisson Models Using Frequentist Variational Estimates2
Hierarchical confusion matrix for classification performance evaluation2
Spatiotemporal ETAS Model with a Renewal Main-Shock Arrival Process2
Optimal transport-based machine learning to match specific patterns: application to the detection of molecular regulation patterns in omics data2
Multivariate longitudinal analysis for the association between brain atrophy and cognitive impairment in prodromal Huntington’s disease subjects2
Doubly regularized generalized linear models for spatial observations with high-dimensional covariates2
Estimating the causal effects of multiple intermittent treatments with application to COVID-192
A Gaussian sliding windows regression model for hydrological inference2
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
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
Assessing present and future risk of water damage using building attributes, meteorology, and topography*1
A Bayesian hierarchical framework to integrate dietary exposure and biomarker measurements into aetiological models1
A Bayesian Phase I/II Design for Cancer Clinical Trials Combining an Immunotherapeutic Agent with a Chemotherapeutic Agent1
Inferring the Sources of HIV Infection in Africa from Deep-Sequence Data with Semi-Parametric Bayesian Poisson Flow Models1
Combining Cytotoxic Agents with Continuous Dose Levels in Seamless Phase I-II Clinical Trials1
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
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
Nonhomogeneous hidden semi-Markov models for toroidal data1
Synergistic self-learning approach to establishing individualized treatment rules from multiple benefit outcomes in a calcium supplementation trial1
Augmenting predictive models in forensic psychiatry with Cultural Consensus Theory1
Utility‐based Bayesian personalized treatment selection for advanced breast cancer1
A bi-endpoint expectation-maximisation algorithm for re-estimating sample size for the time-to-event endpoint under the blind condition1
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
Flexible marked spatio-temporal point processes with applications to event sequences from association football1
Hierarchical dynamic modelling for individualized Bayesian forecasting1
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models1
Corrigendum1
Juliette Legrand and Thomas Opitz’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
Issue Information1
Tree models for assessing covariate-dependent method agreement with an application to physical activity measurements1
Non-Separable Spatio-Temporal Models via Transformed Multivariate Gaussian Markov Random Fields1
Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks1
Multiple Comparison Procedures for Discrete Uniform and Homogeneous Tests1
Quantile Mixed Hidden Markov Models for Multivariate Longitudinal Data: An Application to Children's Strengths and Difficulties Questionnaire Scores1
An application of Saddlepoint approximation for period detection of stellar light observations1
MUCE: Bayesian hierarchical modelling for the design and analysis of phase 1b multiple expansion cohort trials1
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 e1
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
The determinants of Airbnb prices in New York City: a spatial quantile regression approach1
A spatial stochastic frontier model introducing inefficiency spillovers1
CRP-Tree: a phylogenetic association test for binary traits1
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
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A noisy-input generalized additive model for relative sea-level change along the Atlantic coast of North America1
Estimating subject-specific hazard functions1
Estimating a brain network predictive of stress and genotype with supervised autoencoders1
Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles1
Evaluating treatment effect modifiers using data from randomized two-sequence, two-period crossover clinical trials: application to a diabetes study1
On the combination of data smoothing and Markov-switching models1
Robust Correspondence Analysis1
Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach1
Predicting Phenotypes from Brain Connection Structure1
Posterior Summaries of Grocery Retail Topic Models: Evaluation, Interpretability and Credibility1
Correction to: A changepoint approach to modelling nonstationary soil moisture dynamic1
Improving Cardio-Mechanic Inference by Combining in Vivo Strain Data with Ex Vivo Volume–Pressure Data1
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies1
Dynamical non-Gaussian modelling of spatial processes1
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
CAViaR models for Value-at-Risk and Expected Shortfall with long range dependency features1
Pólya-Gamma Data Augmentation and Latent Variable Models for Multivariate Binomial Data1
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Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances1
Semi-parametric Bayesian approach for population size estimation modelling the excess of singletons1
Bayesian Imputation of COVID-19 Positive Test Counts for Nowcasting Under Reporting Lag1
Richard L. Smiths contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
Modelling Clusters of Corporate Defaults: Regime-Switching Models Significantly Reduce the Contagion Source1
Revisiting the cumulative incidence function with competing risks data1
Spatial modelling of infectious diseases with covariate measurement error1
The importance of context in extreme value analysis with application to extreme temperatures in the U.S. and Greenland1
Object oriented data analysis of surface motion time series in peatland landscapes1
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
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions1
Causal inference with a functional outcome1
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