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 2. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Sparse Reduced-Rank Regression for Exploratory Visualisation of Paired Multivariate Data19
Faecal shedding models for SARS-CoV-2 RNA among hospitalised patients and implications for wastewater-based epidemiology13
Flexible Domain Prediction using Mixed Effects Random Forests12
Sequential Aggregation of Probabilistic Forecasts—Application to Wind Speed Ensemble Forecasts12
Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks12
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects12
Automated calibration for stability selection in penalised regression and graphical models12
Semiparametric Model Averaging Prediction for Lifetime Data via Hazards Regression11
Multifidelity Computer Model Emulation with High-Dimensional Output: An Application to Storm Surge9
Functional Ensemble Survival Tree: Dynamic Prediction of Alzheimer’s Disease Progression Accommodating Multiple Time-Varying Covariates9
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles8
A Unifying Framework for Flexible Excess Hazard Modelling with Applications in Cancer Epidemiology8
Non-parametric Calibration of Multiple Related Radiocarbon Determinations and their Calendar Age Summarisation8
RNN-Based Counterfactual Prediction, With an Application to Homestead Policy and Public Schooling8
Inference About Complex Relationships Using Peak Height Data from DNA Mixtures8
Time Matters: How Default Resolution Times Impact Final Loss Rates7
A Computationally Efficient Bayesian Seemingly Unrelated Regressions Model for High-Dimensional Quantitative Trait Loci Discovery7
Bayesian Modelling Strategies for Borrowing of Information in Randomised Basket Trials7
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer7
Correcting Misclassification Errors in Crowdsourced Ecological Data: A Bayesian Perspective7
Bayesian Criterion-Based Variable Selection7
MUCE: Bayesian hierarchical modelling for the design and analysis of phase 1b multiple expansion cohort trials7
Estimating the Effect of Health Service Delivery Interventions on Patient Length of Stay: A Bayesian Survival Analysis Approach6
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions6
Finding Your Feet: A Gaussian Process Model for Estimating the Abilities of Batsmen in Test Cricket6
A Two-Field Geostatistical Model Combining Point and Areal Observations—A Case Study of Annual Runoff Predictions in the Voss Area5
Mixed-Frequency Bayesian Predictive Synthesis for Economic Nowcasting5
Fused Graphical Lasso for Brain Networks with Symmetries5
Phase I Clinical Trials in Adoptive T-Cell Therapies5
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data5
Approximately linear INGARCH models for spatio-temporal counts5
Bayesian Hierarchical Factor Regression Models to Infer Cause of Death from Verbal Autopsy Data5
A Non-Parametric Hawkes Process Model of Primary and Secondary Accidents on a UK Smart Motorway5
A Bayesian Non-Linear State Space Copula Model for Air Pollution in Beijing5
Bayesian Imputation of COVID-19 Positive Test Counts for Nowcasting Under Reporting Lag5
Bayesian Modelling for Spatially Misaligned Health Areal Data: A Multiple Membership Approach4
Reducing the Number of Experiments Required for Modelling the Hydrocracking Process with Kriging Through Bayesian Transfer Learning4
A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study4
Generalizing Trial Evidence to Target Populations in Non-Nested Designs: Applications to AIDS Clinical Trials4
The Saturated Pairwise Interaction Gibbs Point Process as a Joint Species Distribution Model4
The Application of Continuous-Time Markov Chain Models in the Analysis of Choice Flume Experiments4
A Bayesian Nonparametric Model for Textural Pattern Heterogeneity4
Bayesian Semi-parametric G-computation For Causal Inference in a Cohort Study with Mnar Dropout and Death4
Modelling Clusters of Corporate Defaults: Regime-Switching Models Significantly Reduce the Contagion Source4
Stacked Inverse Probability of Censoring Weighted Bagging: A Case Study In the InfCareHIV Register4
Posterior Summaries of Grocery Retail Topic Models: Evaluation, Interpretability and Credibility4
A Model-Based Approach to Predict Employee Compensation Components4
Outcome-Guided Sparse K-Means for Disease Subtype Discovery via Integrating Phenotypic Data with High-Dimensional Transcriptomic Data4
Multisensor Fusion of Remotely Sensed Vegetation Indices Using Space-Time Dynamic Linear Models4
M-Quantile Regression for Multivariate Longitudinal Data with an Application to the Millennium Cohort Study4
A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands4
Random Effects Dynamic Panel Models for Unequally Spaced Multivariate Categorical Repeated Measures: An Application to Child–Parent Exchanges of Support4
Robust Correspondence Analysis4
Clustering Based on Kolmogorov–Smirnov Statistic with Application to Bank Card Transaction Data4
Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport Terminal4
Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England4
Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances3
Inferring Bivariate Association from Respondent-driven Sampling Data3
Modelling Time-varying Mobility Flows Using Function-on-Function Regression: Analysis of a Bike Sharing System in the City of Milan3
Assessing the Reproducibility of Microbiome Measurements Based on Concordance Correlation Coefficients3
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models3
Modelling the Extremes of Seasonal Viruses and Hospital Congestion: The Example of Flu in a Swiss Hospital3
A Bayesian Phase I/II Design for Cancer Clinical Trials Combining an Immunotherapeutic Agent with a Chemotherapeutic Agent3
Improving Cardio-Mechanic Inference by Combining in Vivo Strain Data with Ex Vivo Volume–Pressure Data3
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling3
A parametric competing risks regression model with unknown dependent censoring3
Urnings: A New Method for Tracking Dynamically Changing Parameters in Paired Comparison Systems3
Zero-State Coupled Markov Switching Count Models for Spatio-Temporal Infectious Disease Spread3
Modelling Time-Varying Rankings with Autoregressive and Score-Driven Dynamics3
Estimating a brain network predictive of stress and genotype with supervised autoencoders3
Hierarchical confusion matrix for classification performance evaluation3
A multivariate pseudo-likelihood approach to estimating directional ocean wave models3
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
Future Proofing a Building Design using History Matching Inspired Level-set Techniques3
Threshold-Based Subgroup Testing in Logistic Regression Models in Two-Phase Sampling Designs3
Accounting for Missing Actors in Interaction Network Inference from Abundance Data3
Efficient auxiliary information synthesis for cure rate model3
Censored Regression for Modelling Small Arms Trade Volumes and Its ‘Forensic’ Use for Exploring Unreported Trades3
Spatiotemporal ETAS Model with a Renewal Main-Shock Arrival Process3
Estimating the information content of genetic sequence data3
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
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies3
Assessing Daily Patterns Using Home Activity Sensors and Within Period Changepoint Detection2
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data2
Longitudinal canonical correlation analysis2
Clustering and Automatic Labelling Within Time Series of Categorical Observations—With an Application to Marine Log Messages2
Second-Order Semi-Parametric Inference for Multivariate Log Gaussian Cox Processes2
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity2
Multilevel emulation for stochastic computer models with application to large offshore wind farms2
Quantile Mixed Hidden Markov Models for Multivariate Longitudinal Data: An Application to Children's Strengths and Difficulties Questionnaire Scores2
Assessing Predictive Discrimination Performance of Biomarkers in The Presence of Treatment-Induced Dependent Censoring2
Statistical Integration of Heterogeneous Omics Data: Probabilistic Two-Way Partial Least Squares (PO2PLS)2
Estimation of Large Block Structured Covariance Matrices: Application to ‘Multi-Omic’ Approaches to Study Seed Quality2
A Semi-Parametric Integer-Valued Autoregressive Model with Covariates2
A spatial stochastic frontier model introducing inefficiency spillovers2
Quantile-Frequency Analysis and Spectral Measures for Diagnostic Checks of Time Series With Nonlinear Dynamics2
Quantifying the Trendiness of Trends2
Estimating the causal effects of multiple intermittent treatments with application to COVID-192
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC22
A Dynamic Structural Equation Approach to Estimate the Short-Term Effects of Air Pollution on Human Health2
Gaussian Process Modeling for Dissolution Curve Comparisons2
Pricing Wind Power Futures2
The determinants of Airbnb prices in New York City: a spatial quantile regression approach2
A spline-based time-varying reproduction number for modelling epidemiological outbreaks2
Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods2
Combining Cytotoxic Agents with Continuous Dose Levels in Seamless Phase I-II Clinical Trials2
Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-22
A design utility approach for preferentially sampled spatial data2
Sequential One-step Estimator by Sub-sampling for Customer Churn Analysis with Massive Data sets2
Inferring the Sources of HIV Infection in Africa from Deep-Sequence Data with Semi-Parametric Bayesian Poisson Flow Models2
Investigating spatial scan statistics for multivariate functional data2
Multivariate Bayesian structured variable selection for pharmacogenomic studies2
Robust functional ANOVA with application to additive manufacturing2
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