Statistical Modelling

Papers
(The median citation count of Statistical Modelling is 0. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany18
Editorial12
Integrating joint latent class mixed models and Bayesian network for uncovering clinical subgroups of COVID-19 patients12
A model for space-time threshold exceedances with an application to extreme rainfall10
Bayesian discrete conditional transformation models10
Response mixture models based on supervised components: Clustering floristic taxa8
Simple or complex statistical models: Non-traditional regression models with intuitive interpretations7
Discussion on: ‘Simple or complex statistical models: Non-traditional regression models with intuitive interpretations’ by Gillian Z. Heller7
A Bayesian framework for modelling the preferential selection process in respondent-driven sampling7
Nonparametric estimation of bivariate hidden Markov models using tensor-product B-splines6
Rational voting behaviour accounting for heterogeneous ballots in British elections5
Parametric estimation of non-crossing quantile functions5
Fast, effective, and coherent time series modelling using the sparsity-ranked lasso5
Twenty-five years of statistics and Statistical Modelling4
Obituary: Brian Douglas Marx4
A flexible Bayesian hierarchical quantile spatial model for areal data4
Guest Editorial: Special Issue in Honour of Murray Aitkin3
Random effect models for multivariate mixed data: A Parafac-based finite mixture approach3
A Bayesian approach for variable selection in mixture of logistic regressions with Pólya-Gamma data augmentation3
Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal3
Editorial: An informal look at 25 Years of Statistical Modelling papers3
A statistical modelling approach to feedforward neural network model selection2
Guest Editorial: Statistical modelling with latent variables2
Graph-structured variable selection with Gaussian Markov random field horseshoe prior2
Inference on a bivariate binomial distribution with zero-inflation applicable to baseball data2
Impact of jittering on raster- and distance-based geostatistical analyses of DHS data2
Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models2
An extended generalized Pareto regression model for count data2
On Lasso and adaptive Lasso for non-random sample in credit scoring1
A novel mixture model for characterizing human aiming performance data1
Dual-phase threshold selection methodology for modelling extreme events1
Joint modelling of dyadic and monadic count outcomes: an application to modelling forced migration flows1
A joint normal-binary (probit) model for high-dimensional longitudinal data1
Nonlinear discrete-time hazard models for women's entry into marriage1
A spline-based framework for the flexible modelling of continuously observed multistate survival processes1
A Bayesian hierarchical model for predicting rates of oxygen consumption in mechanically ventilated intensive care patients1
Taking advantage of sampling designs in spatial small-area survey studies1
Fast and efficient joint modelling of multivariate longitudinal data and time-to-event data with a pairwise-fitting approach1
Guided structure learning of DAGs for count data1
How to build your latent Markov model: The role of time and space1
Covariate-modulated rectangular latent Markov models with an unknown number of regime profiles1
Detection of nonlinearity, discontinuity and interactions in generalized regression models1
Linear or smooth? Enhanced model choice in boosting via deselection of base-learners0
Recurrent events analysis with piece-wise exponential additive mixed models0
Bayesian modelling of integer-valued transfer function models0
Statistical modelling of COVID-19 data: Putting generalized additive models to work0
Editorial to the Special Issue “Applications of P-Splines” in Memory of Brian D. Marx0
Mixture models and networks: The stochastic blockmodel0
A two-part measurement error model to estimate participation in undeclared work and related earnings0
A two-level multivariate response model for data with latent structures0
New mixture distributions for modelling count data0
Approaches for fully automated parameter estimation of mixtures of factor analysers0
Self-exciting point process modelling of crimes on linear networks0
Bayesian semiparametric inference for TVP-SVAR models with asymmetry and fat tails0
Maximum approximate likelihood estimation of general continuous-time state-space models0
Robust function-on-function interaction regression0
Derivative curve estimation in longitudinal studies using P-splines0
Modelling agreement for binary intensive longitudinal data0
Joint modelling of non-crossing additive quantile regression via constrained B-spline varying coefficients0
Spatial smoothing revisited: An application to rental data in Munich0
Realized covariance models with time-varying parameters and spillover effects0
A Bayesian semiparametric mixed effects proportional hazards model for clustered partly interval-censored data0
Editorial0
Bayesian analysis of two-part nonlinear latent variable model: Semiparametric method0
A doubly stochastic point process approach for spatio-temporal dynamics of crime data0
Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes0
Canonical correlation analysis in high dimensions with structured regularization0
Ordinal compositional data and time series0
Power logit regression for modeling bounded data0
Soft-clipping INGARCH models for time series of bounded counts0
P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions0
Multivariate functional additive mixed models0
A general framework for random effects models for binary, ordinal, count type and continuous dependent variables0
Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market0
Robust clustering based on finite mixture of multivariate fragmental distributions0
Semi-parametric model approach to causal mediation analysis for longitudinal data0
Dynamic modelling of corporate credit ratings and defaults0
Bayesian effect selection in structured additive quantile regression0
Copula-based pairwise estimator for quantile regression with hierarchical missing data0
A combined overdispersed longitudinal model for nominal data0
Semi-parametric hidden Markov model for large-scale multiple testing under dependency0
Childhood obesity in Singapore: A Bayesian nonparametric approach0
Estimation for vector autoregressive model under multivariate skew- t -normal innovations0
A multilevel analysis of real estate valuation using distributional and quantile regression0
Smoothing spatio-temporal data with complex missing data patterns0
Editorial0
Tensor product P-splines using a sparse mixed model formulation0
Stepwise estimation of latent variable models: An overview of approaches0
A black box approach to fitting smooth models of mortality0
Reflections on statistical modelling: A conversation with Murray Aitkin0
A time-varying GARCH mixed-effects model for isolating high- and low- frequency volatility and co-volatility0
Multi-parameter regression survival modelling with random effects0
A joint transition model for evaluating eGFR as biomarker for rejection after kidney transplantation0
Editorial0
A truncated mean-parameterized Conway-Maxwell-Poisson model for the analysis of Test match bowlers0
Interpretable modelling of retail demand and price elasticity for passenger flights using booking data0
Bayesian clustered coefficients regression with auxiliary covariates assistant random effects0
Outlier accommodation with semiparametric density processes: A study of Antarctic snow density modelling0
Spatio-temporal hierarchical clustering of interval time series with application to suicide rates in Europe0
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