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 2020-11-01 to 2024-11-01.)
ArticleCitations
Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India18
Soft-clipping INGARCH models for time series of bounded counts11
Competing risks joint models using R-INLA10
Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models9
Multivariate functional additive mixed models8
Block models for generalized multipartite networks: Applications in ecology and ethnobiology7
Canonical correlation analysis in high dimensions with structured regularization6
Mixture models and networks: The stochastic blockmodel6
Self-exciting point process modelling of crimes on linear networks6
Smoothing spatio-temporal data with complex missing data patterns6
Robust clustering based on finite mixture of multivariate fragmental distributions5
Interactively visualizing distributional regression models with distreg.vis5
Statistical modelling of COVID-19 data: Putting generalized additive models to work4
Multivariate ordinal random effects models including subject and group specific response style effects4
Bayesian analysis of two-part nonlinear latent variable model: Semiparametric method4
A regularized hidden Markov model for analyzing the ‘hot shoe’ in football4
Tensor product P-splines using a sparse mixed model formulation4
Principal component regression in GAMLSS applied to Greek–German government bond yield spreads4
Two-part quantile regression models for semi-continuous longitudinal data: A finite mixture approach3
Outlier accommodation with semiparametric density processes: A study of Antarctic snow density modelling3
Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models3
A mixed hidden Markov model for multivariate monotone disease processes in the presence of measurement errors3
Response transformations for random effect and variance component models2
Maximum approximate likelihood estimation of general continuous-time state-space models2
Bayesian modelling of integer-valued transfer function models2
Parametric estimation of non-crossing quantile functions2
Spatial survival modelling of business re-opening after Katrina: Survival modelling compared to spatial probit modelling of re-opening within 3, 6 or 12 months2
A Bayesian semiparametric mixed effects proportional hazards model for clustered partly interval-censored data2
Multi-parameter regression survival modelling with random effects2
Fast, effective, and coherent time series modelling using the sparsity-ranked lasso2
Recurrent events analysis with piece-wise exponential additive mixed models2
A combined overdispersed longitudinal model for nominal data1
Childhood obesity in Singapore: A Bayesian nonparametric approach1
Response mixture models based on supervised components: Clustering floristic taxa1
P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions1
Bayesian adjustment for measurement error in an offset variable in a Poisson regression model1
WITHDRAWN—Administrative Duplicate Publication Kernel-based estimation of individual location densities from smartphone data1
Power logit regression for modeling bounded data1
Random effect models for multivariate mixed data: A Parafac-based finite mixture approach1
Robust function-on-function interaction regression1
Interpretable modelling of retail demand and price elasticity for passenger flights using booking data1
Modelling changes over time in a multivariate paired comparison: An application to window display design1
Estimation of latent network flows in bike-sharing systems1
Covariate-modulated rectangular latent Markov models with an unknown number of regime profiles1
Renewal model for anomalous traffic in Internet2 links1
A two-part measurement error model to estimate participation in undeclared work and related earnings1
Quantile regression for longitudinal data via the multivariate generalized hyperbolic distribution1
A truncated mean-parameterized Conway-Maxwell-Poisson model for the analysis of Test match bowlers1
Derivative curve estimation in longitudinal studies using P-splines1
On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods1
Taking advantage of sampling designs in spatial small-area survey studies1
Mixed effect modelling and variable selection for quantile regression1
Bayesian discrete conditional transformation models0
Reflections on statistical modelling: A conversation with Murray Aitkin0
Reflections on Murray Aitkin's contributions to nonparametric mixture models and Bayes factors0
A flexible Bayesian hierarchical quantile spatial model for areal data0
Ordinal compositional data and time series0
Rational voting behaviour accounting for heterogeneous ballots in British elections0
The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany0
Nonlinear discrete-time hazard models for women's entry into marriage0
Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes0
Impact of jittering on raster- and distance-based geostatistical analyses of DHS data0
Modelling agreement for binary intensive longitudinal data0
Editorial0
A spatially explicit N-mixture model for the estimation of disease prevalence0
A joint transition model for evaluating eGFR as biomarker for rejection after kidney transplantation0
Joint modelling of non-crossing additive quantile regression via constrained B-spline varying coefficients0
Bayesian effect selection in structured additive quantile regression0
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
Semi-supervised clustering of time-dependent categorical sequences with application to discovering education-based life patterns0
A multilevel analysis of real estate valuation using distributional and quantile regression0
An extended generalized Pareto regression model for count data0
A statistical modelling approach to feedforward neural network model selection0
Renewal model for anomalous traffic in Internet2 links0
Integrating joint latent class mixed models and Bayesian network for uncovering clinical subgroups of COVID-19 patients0
Editorial0
A model for space-time threshold exceedances with an application to extreme rainfall0
Withdrawal: Administrative Duplicate Publication0
A doubly stochastic point process approach for spatio-temporal dynamics of crime data0
A joint normal-binary (probit) model for high-dimensional longitudinal data0
Editorial0
Discussion on: ‘Simple or complex statistical models: Non-traditional regression models with intuitive interpretations’ by Gillian Z. Heller0
Linear or smooth? Enhanced model choice in boosting via deselection of base-learners0
A Bayesian hierarchical model for predicting rates of oxygen consumption in mechanically ventilated intensive care patients0
Simple or complex statistical models: Non-traditional regression models with intuitive interpretations0
A black box approach to fitting smooth models of mortality0
Guest Editorial0
Guest Editorial: Special Issue in Honour of Murray Aitkin0
Editorial0
Copula-based pairwise estimator for quantile regression with hierarchical missing data0
Semi-parametric hidden Markov model for large-scale multiple testing under dependency0
Spatial smoothing revisited: An application to rental data in Munich0
Estimation for vector autoregressive model under multivariate skew-t-normal innovations0
Obituary: Brian Douglas Marx0
A copula-based approach to joint modelling of multiple longitudinal responses with multimodal structures0
Bayesian clustered coefficients regression with auxiliary covariates assistant random effects0
On Lasso and adaptive Lasso for non-random sample in credit scoring0
Editorial to the Special Issue “Applications of P-Splines” in Memory of Brian D. Marx0
Corrigendum to Poisson–Tweedie mixed-effects model: A flexible approach for the analysis of longitudinal RNA-seq data0
A Bayesian framework for modelling the preferential selection process in respondent-driven sampling0
Guided structure learning of DAGs for count data0
A spline-based framework for the flexible modelling of continuously observed multistate survival processes0
Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal0
A novel mixture model for characterizing human aiming performance data0
Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market0
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