OOIR: Observatory of International Research

Papers

(The TQCC of Journal of the Royal Statistical Society Series C-Applied Statistics is 4. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Christine P Chai’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’	49
Unconventional Policies Effects on Stock Market Volatility: The MAP Approach	40
Longitudinal canonical correlation analysis	33
Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model	28
Combining density forecast accuracy tests: an application to agricultural, energy, and metal commodities	24
A Mixture-of-Experts model to deal with the rural/urban dichotomy in small area estimation	22
Joint-likelihood Bayesian model for urban heat island mapping with two crowdsourced datasets	21
Multilevel emulation for stochastic computer models with application to large offshore wind farms	18
Spatiotemporal modelling with dynamic deformation for nonstationary covariance structures	15
A functional regression model for heterogeneous BioGeoChemical Argo data in the Southern Ocean	15
Revisiting the effects of maternal education on adolescents’ academic performance: Doubly robust estimation in a network-based observational study	15
Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC2	13
Asymmetry analysis of bilateral shapes	11
Efficient Estimation of the Marginal Mean of Recurrent Events	11
Ankur Dutta’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’	11
Identifying Brexit voting patterns in the British house of commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects	11
Accommodating informative visit times for analysing irregular longitudinal data: a sensitivity analysis approach with balancing weights estimators	9
Saralees Nadarajah’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’	9
An adaptive functional regression framework for locally heterogeneous signals in spectroscopy	9
Modelling calibration uncertainty in networks of environmental sensors	8
Utility-Based Bayesian Personalized Treatment Selection for Advanced Breast Cancer	8
Multiphasic stochastic epidemic models	8
Two-dimensional fused targeted ridge regression for health indicator prediction from accelerometer data	8
Bayesian Multi-level Mixed-effects Model for Influenza Dynamics	8
A Model-Based Approach to Predict Employee Compensation Components	8

High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure	8
Analysing opportunity cost of care work using mixed effects random forests under aggregated auxiliary data	7
Estimating the consumption-based carbon footprint: a small area model as a tool for place-based policies	7
Extending the Dixon and Coles model: an application to women’s football data	7
Wastewater surveillance using differentiable Gaussian processes	7
A multivariate pseudo-likelihood approach to estimating directional ocean wave models	7
Incorporating varying degrees of spatial cohesion in models of voter behaviour in the UK General Election 2024	7
Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach	7
Adaptive Fisher’s method using weakly geometric grid for combining p -values with application to COVID-19 surveillance	7
A spline-based time-varying reproduction number for modelling epidemiological outbreaks	7
A Bayesian Spatio-Temporal Analysis of Markets During the Finnish 1860s Famine	7
Unsupervised Bayesian classification for models with scalar and functional covariates	7
A Bayesian valuation framework for catastrophe bonds	6
Missing data patterns in runners’ careers: do they matter?	6
Inferring bivariate associations with continuous data from studies using respondent-driven sampling	6
Robust domain selection for functional data via interval-wise testing and effect size mapping	6
Model-based detection and classification of premature contractions from photoplethysmography signals	6
Reconstructing the Antarctic ice-sheet shape at the Last Glacial Maximum using ice-core data	6
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data	6
Leveraging Network Structure to Improve Pooled Testing Efficiency	6
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data	6
Polylogarithm models for heavy-tailed counts: approximate Bayesian inference and application to ecological networks	6
A design-based view of species richness estimation in environmental surveys	6
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 ch	6
A novel agreement statistic using data on uncertainty in ratings	5
A partially pooled network scale-up method model: detailed estimation of child sexual exploitation material trafficking prevalence in Philippine municipalities	5
A Bayesian spatio-temporal Poisson auto-regressive model for the disease infection rate: application to COVID-19 cases in England	5
A pseudo-response approach to constructing confidence intervals for the subset of patients expected to benefit from a new treatment	5
Modelling between- and within-season trajectories in elite athletic performance data	5
Non-Parametric Bayesian Covariate-Dependent Multivariate Functional Clustering: An Application to Time-Series Data for Multiple Air Pollutants	5
Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model	5
Contents of Volume 73, 2024	5
Exponential tilting for zero-inflated interval regression with applications to cyber security survey data	5
Efficient forecasting and uncertainty quantification for large-scale account level Monte Carlo models of debt recovery	5
Statistical Integration of Heterogeneous Omics Data: Probabilistic Two-Way Partial Least Squares (PO2PLS)	5
Species sensitivity distribution revisited: a Bayesian nonparametric approach	5
Joint modelling of survival and backwards recurrence outcomes: an analysis of factors associated with fertility treatment in the U.S.	4
tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction	4
Generalized functional additive mixed models with (functional) compositional covariates for areal Covid-19 incidence curves	4
A communication-efficient distributed Retire with application to the analysis of multi-site air-quality distributed data	4
Identifying regions of concomitant compound precipitation and wind speed extremes over Europe	4
A novel CFA + EFA model to detect aberrant respondents	4
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables	4
Estimating causal effect in case–control studies with nondifferential misclassified outcomes	4
Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else?	4
Learning local cascading failure pattern from massive network failure data	4
Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome	4
Exploring first and second-order spatio-temporal structures of lightning strike impacts in the French Alps using heavy subsampling	4
Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling	4
Modelling high-resolution spatio-temporal wind with deep echo state networks and stochastic partial differential equations	4

Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods	4
Bayesian emulation of geotechnical deterioration curves using quadratic and B-spline hierarchical models	4
A Tweedie Markov process and its application in fisheries stock assessment	4
Authors’ reply to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’	4
Fused partitioned regression to integrate tumour progression and omics data in colorectal cancer prognosis	4
Derivation of Maternal Dietary Patterns Accounting for Regional Heterogeneity	4
Adaptive hybrid control design for comparative clinical trials with historical control data	4
Gaussian process with dissolution spline kernel for in vitro dissolution testing	4
A flexible mixed model for age-dependent performance: application to golf	4
Precision mental health: predicting heterogeneous treatment effects for depression through data integration	4
Population-level task-evoked functional connectivity via Fourier analysis	4
Modelling physician visit frequency and costs using a copula additive distributional regression approach	4
Correction to: Systemic risks in the shadow: an extreme value analysis of hedge funds	4
Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors	4
The geometry of touching: optimal transport to cluster playing styles and match outcomes in soccer	4