OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Modelling 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 2022-05-01 to 2026-05-01.)

Article	Citations
Integrating joint latent class mixed models and Bayesian network for uncovering clinical subgroups of COVID-19 patients	20
Editorial	12
The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany	11
A model for space-time threshold exceedances with an application to extreme rainfall	10
Bayesian discrete conditional transformation models	9
Response mixture models based on supervised components: Clustering floristic taxa	8
Time-to-event modelling for grouped variables using Exclusive Lasso	7
Discussion on: ‘Simple or complex statistical models: Non-traditional regression models with intuitive interpretations’ by Gillian Z. Heller	6
Simple or complex statistical models: Non-traditional regression models with intuitive interpretations	6
Fast, effective, and coherent time series modelling using the sparsity-ranked lasso	5
Nonparametric estimation of bivariate hidden Markov models using tensor-product B-splines	5
Rational voting behaviour accounting for heterogeneous ballots in British elections	4
Twenty-five years of statistics and Statistical Modelling	4
Editorial: An informal look at 25 Years of Statistical Modelling papers	4
A flexible Bayesian hierarchical quantile spatial model for areal data	4
Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal	4
Regularization and model selection for ordinal-on-ordinal regression with applications to food products’ testing and survey data	4
An extended generalized Pareto regression model for count data	3
Impact of jittering on raster- and distance-based geostatistical analyses of DHS data	3
Graph-structured variable selection with Gaussian Markov random field horseshoe prior	3
A Bayesian approach for variable selection in mixture of logistic regressions with Pólya-Gamma data augmentation	3
Guest Editorial: Statistical modelling with latent variables	3
Omitted covariates bias and finite mixtures of regression models for longitudinal responses	2
Inference on a bivariate binomial distribution with zero-inflation applicable to baseball data	2
Dual-phase threshold selection methodology for modelling extreme events	2

Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models	2
How to build your latent Markov model: The role of time and space	2
A statistical modelling approach to feedforward neural network model selection	2
A novel mixture model for characterizing human aiming performance data	2
A spline-based framework for the flexible modelling of continuously observed multistate survival processes	2