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 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
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
Canonical correlation analysis in high dimensions with structured regularization6
Robust clustering based on finite mixture of multivariate fragmental distributions5
Interactively visualizing distributional regression models with distreg.vis5
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
Statistical modelling of COVID-19 data: Putting generalized additive models to work4
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
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