Statistical Modelling

Papers
(The median citation count of Statistical Modelling 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Integrating joint latent class mixed models and Bayesian network for uncovering clinical subgroups of COVID-19 patients20
Editorial12
The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany11
A model for space-time threshold exceedances with an application to extreme rainfall10
Bayesian discrete conditional transformation models9
Response mixture models based on supervised components: Clustering floristic taxa8
Time-to-event modelling for grouped variables using Exclusive Lasso7
Discussion on: ‘Simple or complex statistical models: Non-traditional regression models with intuitive interpretations’ by Gillian Z. Heller6
Simple or complex statistical models: Non-traditional regression models with intuitive interpretations6
Nonparametric estimation of bivariate hidden Markov models using tensor-product B-splines5
Fast, effective, and coherent time series modelling using the sparsity-ranked lasso5
Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal4
Regularization and model selection for ordinal-on-ordinal regression with applications to food products’ testing and survey data4
Rational voting behaviour accounting for heterogeneous ballots in British elections4
Twenty-five years of statistics and Statistical Modelling4
Editorial: An informal look at 25 Years of Statistical Modelling papers4
A flexible Bayesian hierarchical quantile spatial model for areal data4
A Bayesian approach for variable selection in mixture of logistic regressions with Pólya-Gamma data augmentation3
Guest Editorial: Statistical modelling with latent variables3
An extended generalized Pareto regression model for count data3
Impact of jittering on raster- and distance-based geostatistical analyses of DHS data3
Graph-structured variable selection with Gaussian Markov random field horseshoe prior3
A spline-based framework for the flexible modelling of continuously observed multistate survival processes2
Omitted covariates bias and finite mixtures of regression models for longitudinal responses2
Inference on a bivariate binomial distribution with zero-inflation applicable to baseball data2
Dual-phase threshold selection methodology for modelling extreme events2
Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models2
How to build your latent Markov model: The role of time and space2
A statistical modelling approach to feedforward neural network model selection2
A novel mixture model for characterizing human aiming performance data2
Detection of nonlinearity, discontinuity and interactions in generalized regression models1
A path-based boosting algorithm for exploring transition metal compounds1
A joint normal-binary (probit) model for high-dimensional longitudinal data1
Interpretable modelling of retail demand and price elasticity for passenger flights using booking data1
Robust function-on-function interaction regression1
Covariate-modulated rectangular latent Markov models with an unknown number of regime profiles1
A Bayesian hierarchical model for predicting rates of oxygen consumption in mechanically ventilated intensive care patients1
Joint modelling of dyadic and monadic count outcomes: an application to modelling forced migration flows1
Bayesian effect selection in structured additive quantile regression1
Semi-parametric model approach to causal mediation analysis for longitudinal data1
Derivative curve estimation in longitudinal studies using P-splines1
Bayesian multivariate semi-Markov-switching mixed data sampling1
Taking advantage of sampling designs in spatial small-area survey studies1
Guided structure learning of DAGs for count data1
Fast and efficient joint modelling of multivariate longitudinal data and time-to-event data with a pairwise-fitting approach1
Bivariate distributional copula regression for mixed non-time-to-event and time-to-event responses1
On Lasso and adaptive Lasso for non-random sample in credit scoring1
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