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 2021-05-01 to 2025-05-01.)
ArticleCitations
Christine P Chai’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’21
Characteristic and Necessary Minutiae in Fingerprints21
Longitudinal canonical correlation analysis19
Multisensor Fusion of Remotely Sensed Vegetation Indices Using Space-Time Dynamic Linear Models19
Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model17
Combining density forecast accuracy tests: an application to agricultural, energy, and metal commodities16
Unconventional Policies Effects on Stock Market Volatility: The MAP Approach15
Regularized Regression on Compositional Trees with Application to MRI Analysis14
A Mixture-of-Experts model to deal with the rural/urban dichotomy in small area estimation13
Zero-State Coupled Markov Switching Count Models for Spatio-Temporal Infectious Disease Spread12
Exploring British Accents: Modelling the Trap–Bath Split with Functional Data Analysis11
Spatiotemporal modelling with dynamic deformation for nonstationary covariance structures10
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC210
Efficient Estimation of the Marginal Mean of Recurrent Events10
Transformation Model Based Regression with Dependently Truncated and Independently Censored Data10
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects9
Revisiting the effects of maternal education on adolescents’ academic performance: Doubly robust estimation in a network-based observational study9
Multilevel emulation for stochastic computer models with application to large offshore wind farms9
Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach8
Saralees Nadarajah’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’8
An adaptive functional regression framework for locally heterogeneous signals in spectroscopy8
Ankur Dutta’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’8
Second-Order Semi-Parametric Inference for Multivariate Log Gaussian Cox Processes8
Bayesian Multi-level Mixed-effects Model for Influenza Dynamics7
Analysing Cycling Sensors Data Through Ordinal Logistic Regression with Functional Covariates7
Modelling calibration uncertainty in networks of environmental sensors7
A Discrete Kernel Stick-Breaking Model for Detecting Spatial Boundaries in Hydraulic Fracturing Wastewater Disposal Well Placement Across Ohio7
Two-dimensional fused targeted ridge regression for health indicator prediction from accelerometer data7
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer7
Accommodating informative visit times for analysing irregular longitudinal data: a sensitivity analysis approach with balancing weights estimators6
Multiphasic stochastic epidemic models6
Unsupervised Bayesian classification for models with scalar and functional covariates6
Wastewater surveillance using differentiable Gaussian processes6
High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure6
A Model-Based Approach to Predict Employee Compensation Components6
A Bayesian valuation framework for catastrophe bonds5
The Bayesian Spatial Bradley–Terry Model: Urban Deprivation Modelling in Tanzania5
Missing data patterns in runners’ careers: do they matter?5
Extending the Dixon and Coles model: an application to women’s football data5
5
A multivariate pseudo-likelihood approach to estimating directional ocean wave models5
A spline-based time-varying reproduction number for modelling epidemiological outbreaks5
Adjusting for Population Differences Using Machine Learning Methods5
Reducing the Number of Experiments Required for Modelling the Hydrocracking Process with Kriging Through Bayesian Transfer Learning5
A Bayesian Spatio-Temporal Analysis of Markets During the Finnish 1860s Famine5
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data5
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data5
Reconstructing the Antarctic ice-sheet shape at the Last Glacial Maximum using ice-core data5
Dynamic Disease Screening by Joint Modelling of Survival and Longitudinal Data5
Clustering Based on Kolmogorov–Smirnov Statistic with Application to Bank Card Transaction Data5
Model-based detection and classification of premature contractions from photoplethysmography signals4
Statistical Integration of Heterogeneous Omics Data: Probabilistic Two-Way Partial Least Squares (PO2PLS)4
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 ch4
Fused Graphical Lasso for Brain Networks with Symmetries4
Erratum4
Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model4
Exponential tilting for zero-inflated interval regression with applications to cyber security survey data4
A design-based view of species richness estimation in environmental surveys4
Leveraging Network Structure to Improve Pooled Testing Efficiency4
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
Applied Statistics4
Identifying regions of concomitant compound precipitation and wind speed extremes over Europe4
A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study4
Inferring bivariate associations with continuous data from studies using respondent-driven sampling4
A novel agreement statistic using data on uncertainty in ratings4
A Bayesian spatio-temporal Poisson auto-regressive model for the disease infection rate: application to COVID-19 cases in England4
Efficient forecasting and uncertainty quantification for large-scale account level Monte Carlo models of debt recovery4
Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods4
A Nearest-Neighbour Gaussian Process Spatial Factor Model for Censored, Multi-Depth Geochemical Data4
Authors’ reply to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’3
tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction3
Contents of Volume 70, 20213
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables3
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using heavy subsampling3
Dynamic Historical Data Borrowing Using Weighted Average3
Adaptive hybrid control design for comparative clinical trials with historical control data3
A flexible mixed model for age-dependent performance: application to golf3
Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?3
Fast spatial simulation of extreme high-resolution radar precipitation data using integrated nested Laplace approximations3
Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors3
Joint modelling of survival and backwards recurrence outcomes: an analysis of factors associated with fertility treatment in the U.S.3
Lifting Scheme for Streamflow Data in River Networks3
Estimating Mean Lifetime from Partially Observed Events in Nuclear Physics3
Contents of Volume 73, 20243
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling3
Generalized functional additive mixed models with (functional) compositional covariates for areal Covid-19 incidence curves3
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
Bayesian Criterion-Based Variable Selection3
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity3
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome3
Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport Terminal3
Applied Statistics3
Population-level task-evoked functional connectivity via Fourier analysis3
A Model-Free Approach for Testing Association3
A novel CFA + EFA model to detect aberrant respondents3
Learning local cascading failure pattern from massive network failure data3
Estimating the information content of genetic sequence data2
Hierarchical confusion matrix for classification performance evaluation2
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
Robust functional ANOVA with application to additive manufacturing2
Predicting 5G throughput with BAMMO, a boosted additive model for data with missing observations2
Functional Data Analysis and Visualisation of Three-Dimensional Surface Shape2
Bats monitoring: a classification procedure of bats behaviours based on Hawkes processes2
Multivariate longitudinal analysis for the association between brain atrophy and cognitive impairment in prodromal Huntington’s disease subjects2
Nonparametric k-Sample Test on Shape Spaces with Applications to Mitochondrial Shape Analysis2
Flexible modelling of demographic transition processes with a Bayesian hierarchical B-splines model2
Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data2
Assessing Predictive Discrimination Performance of Biomarkers in The Presence of Treatment-Induced Dependent Censoring2
Specification Analysis for Technology Use and Teenager Well-Being: Statistical Validity and a Bayesian Proposal2
A new method for jump detection: analysis of jumps in the S&P 500 financial index2
A Unifying Framework for Flexible Excess Hazard Modelling with Applications in Cancer Epidemiology2
A Bayesian latent class model for integrating multi-source longitudinal data: application to the CHILD cohort study2
RNN-Based Counterfactual Prediction, With an Application to Homestead Policy and Public Schooling2
A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands2
Enumeration of regular fractional factorial designs with four-level and two-level factors2
Optimal transport-based machine learning to match specific patterns: application to the detection of molecular regulation patterns in omics data2
Bayesian modelling of effective and functional brain connectivity using hierarchical vector autoregressions2
A Tweedie Markov process and its application in fisheries stock assessment2
2
A fractional Hawkes process model for earthquake aftershock sequences2
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
Vine copula-based Bayesian classification for multivariate time series of electroencephalography eye states2
A Gaussian sliding windows regression model for hydrological inference2
A semi-parametric maximum-likelihood analysis of measurement error in population size estimation2
On the competitive facility location problem with a Bayesian spatial interaction model2
Spatiotemporal ETAS Model with a Renewal Main-Shock Arrival Process2
Location smoothed Bayesian additive regression trees: a method for interpretable and robust quality assurance of organ contours in radiotherapy treatment planning2
Bayesian Modelling Strategies for Borrowing of Information in Randomised Basket Trials2
Predicting Phenotypes from Brain Connection Structure1
Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach1
A noisy-input generalized additive model for relative sea-level change along the Atlantic coast of North America1
Posterior Summaries of Grocery Retail Topic Models: Evaluation, Interpretability and Credibility1
Time Matters: How Default Resolution Times Impact Final Loss Rates1
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
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A patient similarity-embedded Bayesian approach to prognostic biomarker inference with application to thoracic cancer immunity1
Flexible marked spatio-temporal point processes with applications to event sequences from association football1
Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles1
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 Ir1
Applied Statistics1
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
Estimating a brain network predictive of stress and genotype with supervised autoencoders1
Contents of Volume 71, 20221
Causal inference with a functional outcome1
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models1
Measuring the impact of new risk factors within survival models1
Hierarchical dynamic modelling for individualized Bayesian forecasting1
Revisiting the cumulative incidence function with competing risks data1
Synergistic self-learning approach to establishing individualized treatment rules from multiple benefit outcomes in a calcium supplementation trial1
A spatial stochastic frontier model introducing inefficiency spillovers1
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
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Dynamical non-Gaussian modelling of spatial processes1
Utility‐based Bayesian personalized treatment selection for advanced breast cancer1
Combining Cytotoxic Agents with Continuous Dose Levels in Seamless Phase I-II Clinical Trials1
Bayesian Hierarchical Factor Regression Models to Infer Cause of Death from Verbal Autopsy Data1
Non-Separable Spatio-Temporal Models via Transformed Multivariate Gaussian Markov Random Fields1
Christian Rohrbeck’s contribution to the discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
Spatial modelling of infectious diseases with covariate measurement error1
Issue Information1
Identifying irregular activity sequences: an application to passive household monitoring1
Improving Cardio-Mechanic Inference by Combining in Vivo Strain Data with Ex Vivo Volume–Pressure Data1
Bayesian Nonparametric Modelling of Multiple Graphs with an Application to Ethnic Metabolic Differences1
Object oriented data analysis of surface motion time series in peatland landscapes1
Estimating the causal effects of multiple intermittent treatments with application to COVID-191
Richard L. Smiths contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions1
Nonparametric group variable selection with multivariate response for connectome-based modelling of cognitive scores1
The determinants of Airbnb prices in New York City: a spatial quantile regression approach1
Understanding power grid network vulnerability through the stochastic lens of network motif evolution1
Tree models for assessing covariate-dependent method agreement with an application to physical activity measurements1
Corrigendum1
Semi-parametric Bayesian approach for population size estimation modelling the excess of singletons1
Pólya-Gamma Data Augmentation and Latent Variable Models for Multivariate Binomial Data1
A Bayesian Phase I/II Design for Cancer Clinical Trials Combining an Immunotherapeutic Agent with a Chemotherapeutic Agent1
The importance of context in extreme value analysis with application to extreme temperatures in the U.S. and Greenland1
An application of Saddlepoint approximation for period detection of stellar light observations1
A bi-endpoint expectation-maximisation algorithm for re-estimating sample size for the time-to-event endpoint under the blind condition1
Assessing present and future risk of water damage using building attributes, meteorology, and topography*1
Modelling Clusters of Corporate Defaults: Regime-Switching Models Significantly Reduce the Contagion Source1
Multiple Comparison Procedures for Discrete Uniform and Homogeneous Tests1
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, Ko1
Robust Correspondence Analysis1
CAViaR models for Value-at-Risk and Expected Shortfall with long range dependency features1
Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses1
Nonhomogeneous hidden semi-Markov models for toroidal data1
Estimation of the Size of Informal Employment Based on Administrative Records With Non-Ignorable Selection Mechanism1
Evaluating treatment effect modifiers using data from randomized two-sequence, two-period crossover clinical trials: application to a diabetes study1
Juliette Legrand and Thomas Opitz’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’1
Bayesian Imputation of COVID-19 Positive Test Counts for Nowcasting Under Reporting Lag1
Assessing Daily Patterns Using Home Activity Sensors and Within Period Changepoint Detection1
Variable selection for individualised treatment rules with discrete outcomes1
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
Accelerating Bayesian Estimation for Network Poisson Models Using Frequentist Variational Estimates1
Estimating subject-specific hazard functions1
CRP-Tree: a phylogenetic association test for binary traits1
Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances1
On the combination of data smoothing and Markov-switching models1
Score Test for Assessing the Conditional Dependence in Latent Class Models and its Application to Record Linkage1
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