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 2020-09-01 to 2024-09-01.)
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
Automated calibration for stability selection in penalised regression and graphical models12
Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks12
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects11
Semiparametric Model Averaging Prediction for Lifetime Data via Hazards Regression11
Sequential Aggregation of Probabilistic Forecasts—Application to Wind Speed Ensemble Forecasts11
Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting10
Flexible Domain Prediction using Mixed Effects Random Forests10
Multifidelity Computer Model Emulation with High-Dimensional Output: An Application to Storm Surge9
Linear Mixed Effects Models for Non-Gaussian Continuous Repeated Measurement Data9
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
RNN-Based Counterfactual Prediction, With an Application to Homestead Policy and Public Schooling8
Inference About Complex Relationships Using Peak Height Data from DNA Mixtures8
Bayesian Criterion-Based Variable Selection7
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer7
Correcting Misclassification Errors in Crowdsourced Ecological Data: A Bayesian Perspective7
Bayesian Modelling Strategies for Borrowing of Information in Randomised Basket Trials7
Non-parametric Calibration of Multiple Related Radiocarbon Determinations and their Calendar Age Summarisation7
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
Finding Your Feet: A Gaussian Process Model for Estimating the Abilities of Batsmen in Test Cricket6
MUCE: Bayesian hierarchical modelling for the design and analysis of phase 1b multiple expansion cohort trials6
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions6
Estimating the Effect of Health Service Delivery Interventions on Patient Length of Stay: A Bayesian Survival Analysis Approach6
A Bayesian Non-Linear State Space Copula Model for Air Pollution in Beijing5
Phase I Clinical Trials in Adoptive T-Cell Therapies5
A Non-Parametric Hawkes Process Model of Primary and Secondary Accidents on a UK Smart Motorway5
Bayesian Hierarchical Factor Regression Models to Infer Cause of Death from Verbal Autopsy Data5
Approximately linear INGARCH models for spatio-temporal counts5
Mixed-Frequency Bayesian Predictive Synthesis for Economic Nowcasting5
Fused Graphical Lasso for Brain Networks with Symmetries5
Bayesian Imputation of COVID-19 Positive Test Counts for Nowcasting Under Reporting Lag5
A Two-Field Geostatistical Model Combining Point and Areal Observations—A Case Study of Annual Runoff Predictions in the Voss Area5
Stacked Inverse Probability of Censoring Weighted Bagging: A Case Study In the InfCareHIV Register4
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data4
The Saturated Pairwise Interaction Gibbs Point Process as a Joint Species Distribution Model4
Outcome-Guided Sparse K-Means for Disease Subtype Discovery via Integrating Phenotypic Data with High-Dimensional Transcriptomic Data4
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
Robust Correspondence Analysis4
Clustering Based on Kolmogorov–Smirnov Statistic with Application to Bank Card Transaction Data4
The Application of Continuous-Time Markov Chain Models in the Analysis of Choice Flume Experiments4
Multisensor Fusion of Remotely Sensed Vegetation Indices Using Space-Time Dynamic Linear Models4
Bayesian Modelling for Spatially Misaligned Health Areal Data: A Multiple Membership Approach4
Random Effects Dynamic Panel Models for Unequally Spaced Multivariate Categorical Repeated Measures: An Application to Child–Parent Exchanges of Support4
Generalizing Trial Evidence to Target Populations in Non-Nested Designs: Applications to AIDS Clinical Trials4
A Model-Based Approach to Predict Employee Compensation Components4
Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport Terminal4
M-Quantile Regression for Multivariate Longitudinal Data with an Application to the Millennium Cohort Study4
A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study4
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models3
Reducing the Number of Experiments Required for Modelling the Hydrocracking Process with Kriging Through Bayesian Transfer Learning3
Improving Cardio-Mechanic Inference by Combining in Vivo Strain Data with Ex Vivo Volume–Pressure Data3
Non-Separable Spatio-Temporal Models via Transformed Multivariate Gaussian Markov Random Fields3
Posterior Summaries of Grocery Retail Topic Models: Evaluation, Interpretability and Credibility3
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
Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances3
Zero-State Coupled Markov Switching Count Models for Spatio-Temporal Infectious Disease Spread3
Modelling Time-Varying Rankings with Autoregressive and Score-Driven Dynamics3
Hierarchical confusion matrix for classification performance evaluation3
A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands3
Bayesian Varying Coefficient Model with Selection: An Application to Functional Mapping3
A Bayesian Model for Estimating Sustainable Development Goal Indicator 4.1.2: School Completion Rates3
A multivariate pseudo-likelihood approach to estimating directional ocean wave models3
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies3
Accounting for Missing Actors in Interaction Network Inference from Abundance Data3
Urnings: A New Method for Tracking Dynamically Changing Parameters in Paired Comparison Systems3
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
Estimating the information content of genetic sequence data3
Spatiotemporal ETAS Model with a Renewal Main-Shock Arrival Process3
A Bayesian Phase I/II Design for Cancer Clinical Trials Combining an Immunotherapeutic Agent with a Chemotherapeutic Agent3
Optimal Block Designs for Experiments on Networks3
Association Plots: visualizing cluster-specific associations in high-dimensional correspondence analysis biplots3
A parametric competing risks regression model with unknown dependent censoring3
A Bayesian Nonparametric Model for Textural Pattern Heterogeneity3
Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England3
Censored Regression for Modelling Small Arms Trade Volumes and Its ‘Forensic’ Use for Exploring Unreported Trades3
Multilevel emulation for stochastic computer models with application to large offshore wind farms2
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling2
Gaussian Process Modeling for Dissolution Curve Comparisons2
Assessing Predictive Discrimination Performance of Biomarkers in The Presence of Treatment-Induced Dependent Censoring2
Pricing Wind Power Futures2
Estimating a brain network predictive of stress and genotype with supervised autoencoders2
A spline-based time-varying reproduction number for modelling epidemiological outbreaks2
Sequential One-step Estimator by Sub-sampling for Customer Churn Analysis with Massive Data sets2
Investigating spatial scan statistics for multivariate functional data2
Quantifying the Trendiness of Trends2
A spatial stochastic frontier model introducing inefficiency spillovers2
A Discrete Kernel Stick-Breaking Model for Detecting Spatial Boundaries in Hydraulic Fracturing Wastewater Disposal Well Placement Across Ohio2
Inferring the Sources of HIV Infection in Africa from Deep-Sequence Data with Semi-Parametric Bayesian Poisson Flow Models2
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC22
Efficient auxiliary information synthesis for cure rate model2
Robust functional ANOVA with application to additive manufacturing2
The determinants of Airbnb prices in New York City: a spatial quantile regression approach2
Assessing Daily Patterns Using Home Activity Sensors and Within Period Changepoint Detection2
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data2
Estimating the causal effects of multiple intermittent treatments with application to COVID-192
A Dynamic Structural Equation Approach to Estimate the Short-Term Effects of Air Pollution on Human Health2
A design utility approach for preferentially sampled spatial data2
Second-Order Semi-Parametric Inference for Multivariate Log Gaussian Cox Processes2
Quantile Mixed Hidden Markov Models for Multivariate Longitudinal Data: An Application to Children's Strengths and Difficulties Questionnaire Scores2
Multivariate Bayesian structured variable selection for pharmacogenomic studies2
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
Quantile-Frequency Analysis and Spectral Measures for Diagnostic Checks of Time Series With Nonlinear Dynamics2
Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods2
Clustering and Automatic Labelling Within Time Series of Categorical Observations—With an Application to Marine Log Messages2
A Bayesian Quest for Finding a Unified Model for Predicting Volleyball Games2
Longitudinal canonical correlation analysis2
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity2
Bayesian model comparison for mortality forecasting1
Highly Irregular Functional Generalized Linear Regression with Electronic Health Records1
Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-21
Regularized Regression on Compositional Trees with Application to MRI Analysis1
Outcome trajectory estimation for optimal dynamic treatment regimes with repeated measures1
Estimating disease transmission in a closed population under repeated testing1
Hypothesis testing for shapes using vectorized persistence diagrams1
Nonparametric k-Sample Test on Shape Spaces with Applications to Mitochondrial Shape Analysis1
Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors1
Erratum1
High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure1
Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer1
A Nearest-Neighbour Gaussian Process Spatial Factor Model for Censored, Multi-Depth Geochemical Data1
A Bayesian Approach for Determining Player Abilities in Football1
Functional Data Analysis and Visualisation of Three-Dimensional Surface Shape1
Bayesian Nonparametric Modelling of Multiple Graphs with an Application to Ethnic Metabolic Differences1
Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology1
A two-sample tree-based test for hierarchically organized genomic signals1
Adjusting for Population Differences Using Machine Learning Methods1
Missing data patterns in runners’ careers: do they matter?1
Efficient Estimation of the Marginal Mean of Recurrent Events1
Causal analysis at extreme quantiles with application to London traffic flow data1
Variable selection for individualised treatment rules with discrete outcomes1
Score Test for Assessing the Conditional Dependence in Latent Class Models and its Application to Record Linkage1
Response-Adaptive Rerandomization1
Combining Cytotoxic Agents with Continuous Dose Levels in Seamless Phase I-II Clinical Trials1
Population-level task-evoked functional connectivity via Fourier analysis1
Real-Time Prediction of Severe Influenza Epidemics Using Extreme Value Statistics1
A Bayesian latent class model for integrating multi-source longitudinal data: application to the CHILD cohort study1
Nowcasting COVID-19 Deaths in England by Age and Region1
Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?1
Optimal Approximate Choice Designs for a Two-step Coffee Choice, Taste and Choice Again Experiment1
Bayesian design with sampling windows for complex spatial processes1
Efficient calibration for imperfect epidemic models with applications to the analysis of COVID-191
Beyond Unidimensional Poverty Analysis Using Distributional Copula Models for Mixed Ordered-Continuous Outcomes1
Classification of Myocardial Blood Flow based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging using Hierarchical Bayesian Models1
Ranking Tailoring Variables for Constructing Individualized Treatment Rules: An Application to Schizophrenia1
The Modelling of Movement of Multiple Animals that Share Behavioural Features1
Estimation of the Size of Informal Employment Based on Administrative Records With Non-Ignorable Selection Mechanism1
Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data1
Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles1
Lifting Scheme for Streamflow Data in River Networks1
A stochastic gradient relational event additive model for modelling US patent citations from 1976 to 20221
Multilevel Network Item Response Modelling for Discovering Differences between Innovation and Regular School Systems in Korea1
Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach1
Long-term Trend Analysis of Extreme Coastal Sea Levels with Changepoint Detection1
Leveraging Network Structure to Improve Pooled Testing Efficiency1
Modelling the Extremes of Seasonal Viruses and Hospital Congestion: The Example of Flu in a Swiss Hospital1
Identification of taxon through classification with partial reject options1
A Semi-Parametric Integer-Valued Autoregressive Model with Covariates1
Estimating subject-specific hazard functions1
Measuring Diachronic Sense Change: New Models and Monte Carlo Methods for Bayesian Inference1
Horseshoe prior Bayesian quantile regression1
Robust Estimation for Small Domains in Business Surveys1
Analysing Cycling Sensors Data Through Ordinal Logistic Regression with Functional Covariates1
Stopping Time Detection of Wood Panel Compression: A Functional Time-Series Approach1
Semi-Parametric Time-to-Event Modelling of Lengths of Hospital Stays1
1
Transformation Model Based Regression with Dependently Truncated and Independently Censored Data1
Dynamic Disease Screening by Joint Modelling of Survival and Longitudinal Data1
Multiscale Null Hypothesis Testing for Network-valued Data: Analysis of Brain Networks of Patients with Autism1
A flexible mixed model for age-dependent performance: application to golf1
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