OOIR: Observatory of International Research

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 2020-09-01 to 2024-09-01.)

Article	Citations
Sparse Reduced-Rank Regression for Exploratory Visualisation of Paired Multivariate Data	19
Faecal shedding models for SARS-CoV-2 RNA among hospitalised patients and implications for wastewater-based epidemiology	13
Automated calibration for stability selection in penalised regression and graphical models	12
Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks	12
Semiparametric Model Averaging Prediction for Lifetime Data via Hazards Regression	11
Sequential Aggregation of Probabilistic Forecasts—Application to Wind Speed Ensemble Forecasts	11
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects	11
Flexible Domain Prediction using Mixed Effects Random Forests	10
Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting	10
Linear Mixed Effects Models for Non-Gaussian Continuous Repeated Measurement Data	9
Functional Ensemble Survival Tree: Dynamic Prediction of Alzheimer’s Disease Progression Accommodating Multiple Time-Varying Covariates	9
Multifidelity Computer Model Emulation with High-Dimensional Output: An Application to Storm Surge	9
A Unifying Framework for Flexible Excess Hazard Modelling with Applications in Cancer Epidemiology	8
RNN-Based Counterfactual Prediction, With an Application to Homestead Policy and Public Schooling	8
Inference About Complex Relationships Using Peak Height Data from DNA Mixtures	8
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles	8
Bayesian Criterion-Based Variable Selection	7
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer	7
Correcting Misclassification Errors in Crowdsourced Ecological Data: A Bayesian Perspective	7
Bayesian Modelling Strategies for Borrowing of Information in Randomised Basket Trials	7
Non-parametric Calibration of Multiple Related Radiocarbon Determinations and their Calendar Age Summarisation	7
Time Matters: How Default Resolution Times Impact Final Loss Rates	7
A Computationally Efficient Bayesian Seemingly Unrelated Regressions Model for High-Dimensional Quantitative Trait Loci Discovery	7
Finding Your Feet: A Gaussian Process Model for Estimating the Abilities of Batsmen in Test Cricket	6
MUCE: Bayesian hierarchical modelling for the design and analysis of phase 1b multiple expansion cohort trials	6

Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions	6
Estimating the Effect of Health Service Delivery Interventions on Patient Length of Stay: A Bayesian Survival Analysis Approach	6
A Bayesian Non-Linear State Space Copula Model for Air Pollution in Beijing	5
Phase I Clinical Trials in Adoptive T-Cell Therapies	5
A Non-Parametric Hawkes Process Model of Primary and Secondary Accidents on a UK Smart Motorway	5
Bayesian Hierarchical Factor Regression Models to Infer Cause of Death from Verbal Autopsy Data	5
Approximately linear INGARCH models for spatio-temporal counts	5
Mixed-Frequency Bayesian Predictive Synthesis for Economic Nowcasting	5
Fused Graphical Lasso for Brain Networks with Symmetries	5
Bayesian Imputation of COVID-19 Positive Test Counts for Nowcasting Under Reporting Lag	5
A Two-Field Geostatistical Model Combining Point and Areal Observations—A Case Study of Annual Runoff Predictions in the Voss Area	5
Bayesian Semi-parametric G-computation For Causal Inference in a Cohort Study with Mnar Dropout and Death	4
Modelling Clusters of Corporate Defaults: Regime-Switching Models Significantly Reduce the Contagion Source	4
Robust Correspondence Analysis	4
Clustering Based on Kolmogorov–Smirnov Statistic with Application to Bank Card Transaction Data	4
The Application of Continuous-Time Markov Chain Models in the Analysis of Choice Flume Experiments	4
Multisensor Fusion of Remotely Sensed Vegetation Indices Using Space-Time Dynamic Linear Models	4
Bayesian Modelling for Spatially Misaligned Health Areal Data: A Multiple Membership Approach	4
Random Effects Dynamic Panel Models for Unequally Spaced Multivariate Categorical Repeated Measures: An Application to Child–Parent Exchanges of Support	4
Generalizing Trial Evidence to Target Populations in Non-Nested Designs: Applications to AIDS Clinical Trials	4
A Model-Based Approach to Predict Employee Compensation Components	4
Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport Terminal	4
M-Quantile Regression for Multivariate Longitudinal Data with an Application to the Millennium Cohort Study	4
A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study	4
Stacked Inverse Probability of Censoring Weighted Bagging: A Case Study In the InfCareHIV Register	4
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data	4
The Saturated Pairwise Interaction Gibbs Point Process as a Joint Species Distribution Model	4
Outcome-Guided Sparse K-Means for Disease Subtype Discovery via Integrating Phenotypic Data with High-Dimensional Transcriptomic Data	4
Posterior Summaries of Grocery Retail Topic Models: Evaluation, Interpretability and Credibility	3
Future Proofing a Building Design using History Matching Inspired Level-set Techniques	3
Threshold-Based Subgroup Testing in Logistic Regression Models in Two-Phase Sampling Designs	3
Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances	3
Zero-State Coupled Markov Switching Count Models for Spatio-Temporal Infectious Disease Spread	3
Modelling Time-Varying Rankings with Autoregressive and Score-Driven Dynamics	3
Hierarchical confusion matrix for classification performance evaluation	3
A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands	3
Bayesian Varying Coefficient Model with Selection: An Application to Functional Mapping	3
A Bayesian Model for Estimating Sustainable Development Goal Indicator 4.1.2: School Completion Rates	3
A multivariate pseudo-likelihood approach to estimating directional ocean wave models	3
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies	3
Accounting for Missing Actors in Interaction Network Inference from Abundance Data	3
Urnings: A New Method for Tracking Dynamically Changing Parameters in Paired Comparison Systems	3
Inferring Bivariate Association from Respondent-driven Sampling Data	3
Modelling Time-varying Mobility Flows Using Function-on-Function Regression: Analysis of a Bike Sharing System in the City of Milan	3
Assessing the Reproducibility of Microbiome Measurements Based on Concordance Correlation Coefficients	3
Estimating the information content of genetic sequence data	3
Spatiotemporal ETAS Model with a Renewal Main-Shock Arrival Process	3
A Bayesian Phase I/II Design for Cancer Clinical Trials Combining an Immunotherapeutic Agent with a Chemotherapeutic Agent	3
Optimal Block Designs for Experiments on Networks	3
Association Plots: visualizing cluster-specific associations in high-dimensional correspondence analysis biplots	3

A parametric competing risks regression model with unknown dependent censoring	3
A Bayesian Nonparametric Model for Textural Pattern Heterogeneity	3
Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England	3
Censored Regression for Modelling Small Arms Trade Volumes and Its ‘Forensic’ Use for Exploring Unreported Trades	3
Distributional data analysis of accelerometer data from the NHANES database using nonparametric survey regression models	3
Reducing the Number of Experiments Required for Modelling the Hydrocracking Process with Kriging Through Bayesian Transfer Learning	3
Improving Cardio-Mechanic Inference by Combining in Vivo Strain Data with Ex Vivo Volume–Pressure Data	3
Non-Separable Spatio-Temporal Models via Transformed Multivariate Gaussian Markov Random Fields	3
Multivariate Bayesian structured variable selection for pharmacogenomic studies	2
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 Quality	2
Investigating spatial scan statistics for multivariate functional data	2
Quantile-Frequency Analysis and Spectral Measures for Diagnostic Checks of Time Series With Nonlinear Dynamics	2
A spatial stochastic frontier model introducing inefficiency spillovers	2
Clustering and Automatic Labelling Within Time Series of Categorical Observations—With an Application to Marine Log Messages	2
A Bayesian Quest for Finding a Unified Model for Predicting Volleyball Games	2
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity	2
Multilevel emulation for stochastic computer models with application to large offshore wind farms	2
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling	2
Gaussian Process Modeling for Dissolution Curve Comparisons	2
Assessing Predictive Discrimination Performance of Biomarkers in The Presence of Treatment-Induced Dependent Censoring	2
Pricing Wind Power Futures	2
Estimating a brain network predictive of stress and genotype with supervised autoencoders	2
A Dynamic Structural Equation Approach to Estimate the Short-Term Effects of Air Pollution on Human Health	2
A spline-based time-varying reproduction number for modelling epidemiological outbreaks	2
Sequential One-step Estimator by Sub-sampling for Customer Churn Analysis with Massive Data sets	2
Quantifying the Trendiness of Trends	2
A Discrete Kernel Stick-Breaking Model for Detecting Spatial Boundaries in Hydraulic Fracturing Wastewater Disposal Well Placement Across Ohio	2
Inferring the Sources of HIV Infection in Africa from Deep-Sequence Data with Semi-Parametric Bayesian Poisson Flow Models	2
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC2	2
Efficient auxiliary information synthesis for cure rate model	2
Robust functional ANOVA with application to additive manufacturing	2
The determinants of Airbnb prices in New York City: a spatial quantile regression approach	2
Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods	2
Assessing Daily Patterns Using Home Activity Sensors and Within Period Changepoint Detection	2
Longitudinal canonical correlation analysis	2
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data	2
Estimating the causal effects of multiple intermittent treatments with application to COVID-19	2
A design utility approach for preferentially sampled spatial data	2
Second-Order Semi-Parametric Inference for Multivariate Log Gaussian Cox Processes	2
Quantile Mixed Hidden Markov Models for Multivariate Longitudinal Data: An Application to Children's Strengths and Difficulties Questionnaire Scores	2