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 2020-03-01 to 2024-03-01.)
ArticleCitations
Multiple smoothing parameters selection in additive regression quantiles15
Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India14
Predicting match outcomes in association football using team ratings and player ratings12
Soft-clipping INGARCH models for time series of bounded counts10
Competing risks joint models using R-INLA9
Joint modelling of longitudinal and survival data in the presence of competing risks with applications to prostate cancer data8
Multi-class classification of biomechanical data: A functional LDA approach based on multi-class penalized functional PLS8
Multivariate functional additive mixed models5
Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models5
Self-exciting point process modelling of crimes on linear networks5
Assessing importance of biomarkers: A Bayesian joint modelling approach of longitudinal and survival data with semi-competing risks5
Mixture models and networks: The stochastic blockmodel4
Quantile foliation for modelling performance across body mass and age in Olympic weightlifting4
Poisson–Tweedie mixed-effects model: A flexible approach for the analysis of longitudinal RNA-seq data4
Smoothing spatio-temporal data with complex missing data patterns4
Statistical modelling of COVID-19 data: Putting generalized additive models to work4
Robust clustering based on finite mixture of multivariate fragmental distributions4
Block models for generalized multipartite networks: Applications in ecology and ethnobiology4
Bayesian modelling of integer-valued transfer function models4
Streamlined variational inference for higher level group-specific curve models4
Bayesian analysis of two-part nonlinear latent variable model: Semiparametric method4
Parametric estimation of non-crossing quantile functions3
A primer on coupled state-switching models for multiple interacting time series3
An alternative characterization of MAR in shared parameter models for incomplete longitudinal data and its utilization for sensitivity analysis3
A regularized hidden Markov model for analyzing the ‘hot shoe’ in football3
Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data3
Canonical correlation analysis in high dimensions with structured regularization3
Interactively visualizing distributional regression models with distreg.vis3
Boosting functional response models for location, scale and shape with an application to bacterial competition3
WITHDRAWN—Administrative Duplicate Publication Kernel-based estimation of individual location densities from smartphone data2
Principal component regression in GAMLSS applied to Greek–German government bond yield spreads2
Outlier accommodation with semiparametric density processes: A study of Antarctic snow density modelling2
A time-varying GARCH mixed-effects model for isolating high- and low- frequency volatility and co-volatility2
Maximum approximate likelihood estimation of general continuous-time state-space models2
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
Multiple imputation and selection of ordinal level 2 predictors in multilevel models: An analysis of the relationship between student ratings and teacher practices and attitudes2
Kernel-based estimation of individual location densities from smartphone data2
Two-part quantile regression models for semi-continuous longitudinal data: A finite mixture approach2
Recurrent events analysis with piece-wise exponential additive mixed models1
Bayesian semiparametric mixed effects proportional hazards model for clustered partly interval-censored data1
A mixed hidden Markov model for multivariate monotone disease processes in the presence of measurement errors1
Covariate-modulated rectangular latent Markov models with an unknown number of regime profiles1
Random effect models for multivariate mixed data: A Parafac-based finite mixture approach1
A fully Bayesian approach to sparse reduced-rank multivariate regression1
Response transformations for random effect and variance component models1
Modelling changes over time in a multivariate paired comparison: An application to window display design1
Bayesian variable selection and shrinkage strategies in a complicated modelling setting with missing data: A case study using multistate models1
Pairwise estimation of multivariate longitudinal outcomes in a Bayesian setting with extensions to the joint model1
Renewal model for anomalous traffic in Internet2 links1
A combined overdispersed longitudinal model for nominal data1
Generalizing rate heterogeneity across sites in statistical phylogenetics1
Childhood obesity in Singapore: A Bayesian nonparametric approach1
On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods1
Bayesian adjustment for measurement error in an offset variable in a Poisson regression model1
Multivariate ordinal random effects models including subject and group specific response style effects1
Multi-parameter regression survival modelling with random effects1
Quantile regression for longitudinal data via the multivariate generalized hyperbolic distribution1
Modelling multiple outcomes in repeated measures studies: Comparing aesthetic eyelid surgery techniques1
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