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 2021-11-01 to 2025-11-01.)
ArticleCitations
Integrating joint latent class mixed models and Bayesian network for uncovering clinical subgroups of COVID-19 patients19
Editorial10
A model for space-time threshold exceedances with an application to extreme rainfall10
The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany8
Bayesian discrete conditional transformation models7
Simple or complex statistical models: Non-traditional regression models with intuitive interpretations6
Fast, effective, and coherent time series modelling using the sparsity-ranked lasso6
Response mixture models based on supervised components: Clustering floristic taxa6
Discussion on: ‘Simple or complex statistical models: Non-traditional regression models with intuitive interpretations’ by Gillian Z. Heller6
Nonparametric estimation of bivariate hidden Markov models using tensor-product B-splines4
A flexible Bayesian hierarchical quantile spatial model for areal data4
Obituary: Brian Douglas Marx4
Twenty-five years of statistics and Statistical Modelling4
Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal3
Guest Editorial: Special Issue in Honour of Murray Aitkin3
Rational voting behaviour accounting for heterogeneous ballots in British elections3
An extended generalized Pareto regression model for count data2
Guest Editorial: Statistical modelling with latent variables2
Inference on a bivariate binomial distribution with zero-inflation applicable to baseball data2
A Bayesian approach for variable selection in mixture of logistic regressions with Pólya-Gamma data augmentation2
Editorial: An informal look at 25 Years of Statistical Modelling papers2
A novel mixture model for characterizing human aiming performance data2
Graph-structured variable selection with Gaussian Markov random field horseshoe prior2
Impact of jittering on raster- and distance-based geostatistical analyses of DHS data2
A statistical modelling approach to feedforward neural network model selection2
Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models2
Taking advantage of sampling designs in spatial small-area survey studies1
A spline-based framework for the flexible modelling of continuously observed multistate survival processes1
Fast and efficient joint modelling of multivariate longitudinal data and time-to-event data with a pairwise-fitting approach1
Nonlinear discrete-time hazard models for women's entry into marriage1
Covariate-modulated rectangular latent Markov models with an unknown number of regime profiles1
How to build your latent Markov model: The role of time and space1
Detection of nonlinearity, discontinuity and interactions in generalized regression models1
Guided structure learning of DAGs for count data1
On Lasso and adaptive Lasso for non-random sample in credit scoring1
Semi-parametric model approach to causal mediation analysis for longitudinal 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 Bayesian hierarchical model for predicting rates of oxygen consumption in mechanically ventilated intensive care patients1
A joint normal-binary (probit) model for high-dimensional longitudinal data1
Robust function-on-function interaction regression1
Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes0
A black box approach to fitting smooth models of mortality0
Bayesian modelling of integer-valued transfer function models0
Joint modelling of non-crossing additive quantile regression via constrained B-spline varying coefficients0
Multi-parameter regression survival modelling with random effects0
P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions0
Evolving voices based on temporal Poisson factorisation0
New mixture distributions for modelling count data0
Tensor product P-splines using a sparse mixed model formulation0
Human-in-the-loop: Towards label embeddings for assessing classification difficulty0
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
Dynamic modelling of corporate credit ratings and defaults0
A doubly stochastic point process approach for spatio-temporal dynamics of crime data0
Smoothing spatio-temporal data with complex missing data patterns0
Spatial smoothing revisited: An application to rental data in Munich0
Recurrent events analysis with piece-wise exponential additive mixed models0
Power logit regression for modeling bounded data0
Childhood obesity in Singapore: A Bayesian nonparametric approach0
Approaches for fully automated parameter estimation of mixtures of factor analysers0
Semi-parametric hidden Markov model for large-scale multiple testing under dependency0
A Bayesian semiparametric mixed effects proportional hazards model for clustered partly interval-censored data0
Maximum approximate likelihood estimation of general continuous-time state-space models0
Ordinal compositional data and time series0
A truncated mean-parameterized Conway-Maxwell-Poisson model for the analysis of Test match bowlers0
Editorial0
A two-level multivariate response model for data with latent structures0
Bayesian semiparametric inference for TVP-SVAR models with asymmetry and fat tails0
Self-exciting point process modelling of crimes on linear networks0
Interpretable modelling of retail demand and price elasticity for passenger flights using booking data0
Statistical modelling of COVID-19 data: Putting generalized additive models to work0
Spatio-temporal hierarchical clustering of interval time series with application to suicide rates in Europe0
A combined overdispersed longitudinal model for nominal data0
Realized covariance models with time-varying parameters and spillover effects0
A two-part measurement error model to estimate participation in undeclared work and related earnings0
A multilevel analysis of real estate valuation using distributional and quantile regression0
Multivariate functional additive mixed models0
Editorial to the Special Issue “Applications of P-Splines” in Memory of Brian D. Marx0
Editorial0
Editorial0
Bayesian analysis of two-part nonlinear latent variable model: Semiparametric method0
Estimation for vector autoregressive model under multivariate skew- t -normal innovations0
Stepwise estimation of latent variable models: An overview of approaches0
Soft-clipping INGARCH models for time series of bounded counts0
Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market0
Bayesian effect selection in structured additive quantile regression0
Derivative curve estimation in longitudinal studies using P-splines0
A general framework for random effects models for binary, ordinal, count type and continuous dependent variables0
Copula-based pairwise estimator for quantile regression with hierarchical missing data0
Linear or smooth? Enhanced model choice in boosting via deselection of base-learners0
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