Statistical Modelling

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 2022-08-01 to 2026-08-01.)
ArticleCitations
A novel Benford-based approach for detecting statistical anomalies in precinct-level election data20
Integrating joint latent class mixed models and Bayesian network for uncovering clinical subgroups of COVID-19 patients14
Editorial12
Simultaneous estimation and model choice for big discrete time-to-event data with additive predictors10
The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany9
Simple or complex statistical models: Non-traditional regression models with intuitive interpretations9
Time-to-event modelling for grouped variables using Exclusive Lasso8
Response mixture models based on supervised components: Clustering floristic taxa7
Bayesian discrete conditional transformation models6
Nonparametric estimation of bivariate hidden Markov models using tensor-product B-splines6
Fast, effective, and coherent time series modelling using the sparsity-ranked lasso6
Regularization and model selection for ordinal-on-ordinal regression with applications to food products’ testing and survey data5
Discussion on: ‘Simple or complex statistical models: Non-traditional regression models with intuitive interpretations’ by Gillian Z. Heller5
Twenty-five years of statistics and Statistical Modelling4
Rational voting behaviour accounting for heterogeneous ballots in British elections4
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
An extended generalized Pareto regression model for count data3
Graph-structured variable selection with Gaussian Markov random field horseshoe prior3
Guest Editorial: Statistical modelling with latent variables3
Editorial: An informal look at 25 Years of Statistical Modelling papers3
Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal3
Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models2
Inference on a bivariate binomial distribution with zero-inflation applicable to baseball data2
How to build your latent Markov model: The role of time and space2
Omitted covariates bias and finite mixtures of regression models for longitudinal responses2
A novel Benford-based approach for detecting statistical anomalies in precinct-level election data2
Bayesian multivariate semi-Markov-switching mixed data sampling2
Impact of jittering on raster- and distance-based geostatistical analyses of DHS data2
A statistical modelling approach to feedforward neural network model selection2
A spline-based framework for the flexible modelling of continuously observed multistate survival processes2
A novel mixture model for characterizing human aiming performance data2
0.22311401367188