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 2020-04-01 to 2024-04-01.)
ArticleCitations
Sensitivity Analysis for Publication Bias in Meta-Analyses91
Bayesian Analysis of Tests with Unknown Specificity and Sensitivity67
Sparse Reduced-Rank Regression for Exploratory Visualisation of Paired Multivariate Data18
Causal Mechanism of Extreme River Discharges in the Upper Danube Basin Network13
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects11
Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting10
Sequential Aggregation of Probabilistic Forecasts—Application to Wind Speed Ensemble Forecasts10
Semiparametric Model Averaging Prediction for Lifetime Data via Hazards Regression10
Linear Mixed Effects Models for Non-Gaussian Continuous Repeated Measurement Data9
Fault Isolation for A Complex Decentralized Waste Water Treatment Facility9
Global Forensic Geolocation with Deep Neural Networks9
Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks9
Inference for Extreme Values Under Threshold-Based Stopping Rules9
Global Household Energy Model: A Multivariate Hierarchical Approach to Estimating Trends in The Use of Polluting and Clean Fuels for Cooking9
Longitudinal Networks of Dyadic Relationships Using Latent Trajectories: Evidence from The European Interbank Market8
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer7
Correcting Misclassification Errors in Crowdsourced Ecological Data: A Bayesian Perspective7
Variable Selection in Functional Linear Concurrent Regression7
Faecal shedding models for SARS-CoV-2 RNA among hospitalised patients and implications for wastewater-based epidemiology7
Inference About Complex Relationships Using Peak Height Data from DNA Mixtures7
Flexible Domain Prediction using Mixed Effects Random Forests7
Functional Ensemble Survival Tree: Dynamic Prediction of Alzheimer’s Disease Progression Accommodating Multiple Time-Varying Covariates7
Time Matters: How Default Resolution Times Impact Final Loss Rates6
Automated calibration for stability selection in penalised regression and graphical models6
MUCE: Bayesian hierarchical modelling for the design and analysis of phase 1b multiple expansion cohort trials6
A Computationally Efficient Bayesian Seemingly Unrelated Regressions Model for High-Dimensional Quantitative Trait Loci Discovery6
Statistical Inference on Tree Swallow Migrations with Random Forests5
Markov Switching Modelling of Shooting Performance Variability and Teammate Interactions in Basketball5
Estimating the Effect of Health Service Delivery Interventions on Patient Length of Stay: A Bayesian Survival Analysis Approach5
Multifidelity Computer Model Emulation with High-Dimensional Output: An Application to Storm Surge5
A Two-Field Geostatistical Model Combining Point and Areal Observations—A Case Study of Annual Runoff Predictions in the Voss Area5
Bayesian Modelling Strategies for Borrowing of Information in Randomised Basket Trials5
Generalized Partially Linear Models on Riemannian Manifolds5
Small Sample Corrections for Wald Tests in Latent Variable Models5
The Harmonic Meanχ2-Test to Substantiate Scientific Findings5
Estimating The Binary Endogenous Effect of Insurance on Doctor Visits by Copula-Based Regression Additive Models5
A Calibrated Sensitivity Analysis for Matched Observational Studies with Application to the Effect of Second-Hand Smoke Exposure on Blood Lead Levels in Children5
Bayesian Criterion-Based Variable Selection5
Finding Your Feet: A Gaussian Process Model for Estimating the Abilities of Batsmen in Test Cricket5
A Unifying Framework for Flexible Excess Hazard Modelling with Applications in Cancer Epidemiology5
Mixed-Frequency Bayesian Predictive Synthesis for Economic Nowcasting5
Cluster Analysis of Microbiome Data by Using Mixtures of Dirichlet–Multinomial Regression Models5
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles5
A Bayesian Non-Linear State Space Copula Model for Air Pollution in Beijing4
Stacked Inverse Probability of Censoring Weighted Bagging: A Case Study In the InfCareHIV Register4
Approximately linear INGARCH models for spatio-temporal counts4
RNN-Based Counterfactual Prediction, With an Application to Homestead Policy and Public Schooling4
A Non-Parametric Hawkes Process Model of Primary and Secondary Accidents on a UK Smart Motorway4
The Application of Continuous-Time Markov Chain Models in the Analysis of Choice Flume Experiments4
M-Quantile Regression for Multivariate Longitudinal Data with an Application to the Millennium Cohort Study4
Modelling Clusters of Corporate Defaults: Regime-Switching Models Significantly Reduce the Contagion Source4
Phase I Clinical Trials in Adoptive T-Cell Therapies4
The Use of Sampling Weights inM-Quantile Random-Effects Regression: An Application to Programme for International Student Assessment Mathematics Scores4
Modelling Fuel Injector Spray Characteristics in Jet Engines by Using Vine Copulas4
A Hierarchical Mixed Effect Hurdle Model for Spatiotemporal Count Data and its Application to Identifying Factors Impacting Health Professional Shortages4
Bayesian Semi-parametric G-computation For Causal Inference in a Cohort Study with Mnar Dropout and Death4
Random Effects Dynamic Panel Models for Unequally Spaced Multivariate Categorical Repeated Measures: An Application to Child–Parent Exchanges of Support4
Bayesian Hierarchical Factor Regression Models to Infer Cause of Death from Verbal Autopsy Data4
Generalizing Trial Evidence to Target Populations in Non-Nested Designs: Applications to AIDS Clinical Trials4
Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport Terminal4
Multisensor Fusion of Remotely Sensed Vegetation Indices Using Space-Time Dynamic Linear Models4
A parametric competing risks regression model with unknown dependent censoring3
Urnings: A New Method for Tracking Dynamically Changing Parameters in Paired Comparison Systems3
Censored Regression for Modelling Small Arms Trade Volumes and Its ‘Forensic’ Use for Exploring Unreported Trades3
Modelling Time-varying Mobility Flows Using Function-on-Function Regression: Analysis of a Bike Sharing System in the City of Milan3
A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study3
Reducing the Number of Experiments Required for Modelling the Hydrocracking Process with Kriging Through Bayesian Transfer Learning3
Non-Separable Spatio-Temporal Models via Transformed Multivariate Gaussian Markov Random Fields3
Optimal Block Designs for Experiments on Networks3
Association Plots: visualizing cluster-specific associations in high-dimensional correspondence analysis biplots3
Threshold-Based Subgroup Testing in Logistic Regression Models in Two-Phase Sampling Designs3
Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances3
Bayesian Modelling for Spatially Misaligned Health Areal Data: A Multiple Membership Approach3
A Bayesian Group Sequential SmallnSequential Multiple-Assignment Randomized Trial3
Spatiotemporal ETAS Model with a Renewal Main-Shock Arrival Process3
A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands3
A Bayesian Phase I/II Design for Cancer Clinical Trials Combining an Immunotherapeutic Agent with a Chemotherapeutic Agent3
Posterior Summaries of Grocery Retail Topic Models: Evaluation, Interpretability and Credibility3
Future Proofing a Building Design using History Matching Inspired Level-set Techniques3
Accounting for Missing Actors in Interaction Network Inference from Abundance Data3
Inferring Bivariate Association from Respondent-driven Sampling Data3
Fused Graphical Lasso for Brain Networks with Symmetries3
Robust Correspondence Analysis3
Landmark Proportional Subdistribution Hazards Models for Dynamic Prediction of Cumulative Incidence Functions3
A Bayesian Model for Estimating Sustainable Development Goal Indicator 4.1.2: School Completion Rates3
Bayesian Varying Coefficient Model with Selection: An Application to Functional Mapping3
The Saturated Pairwise Interaction Gibbs Point Process as a Joint Species Distribution Model3
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