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 2021-04-01 to 2025-04-01.)
ArticleCitations
Impact of jittering on raster- and distance-based geostatistical analyses of DHS data21
Statistical modelling of COVID-19 data: Putting generalized additive models to work14
A spatially explicit N-mixture model for the estimation of disease prevalence9
A two-level multivariate response model for data with latent structures9
Editorial to the Special Issue “Applications of P-Splines” in Memory of Brian D. Marx8
Corrigendum to Poisson–Tweedie mixed-effects model: A flexible approach for the analysis of longitudinal RNA-seq data8
A joint normal-binary (probit) model for high-dimensional longitudinal data7
A Bayesian semiparametric mixed effects proportional hazards model for clustered partly interval-censored data6
Tensor product P-splines using a sparse mixed model formulation6
Editorial5
Mixture models and networks: The stochastic blockmodel5
Modelling agreement for binary intensive longitudinal data5
On Lasso and adaptive Lasso for non-random sample in credit scoring4
Editorial4
Outlier accommodation with semiparametric density processes: A study of Antarctic snow density modelling4
Estimation for vector autoregressive model under multivariate skew- t -normal innovations4
Bayesian adjustment for measurement error in an offset variable in a Poisson regression model4
A model for space-time threshold exceedances with an application to extreme rainfall3
Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes3
Bayesian modelling of integer-valued transfer function models3
Bayesian analysis of two-part nonlinear latent variable model: Semiparametric method3
Bayesian clustered coefficients regression with auxiliary covariates assistant random effects3
The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany3
Integrating joint latent class mixed models and Bayesian network for uncovering clinical subgroups of COVID-19 patients2
Nonlinear discrete-time hazard models for women's entry into marriage2
On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods2
P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions2
Two-part quantile regression models for semi-continuous longitudinal data: A finite mixture approach2
Ordinal compositional data and time series2
Smoothing spatio-temporal data with complex missing data patterns2
Withdrawal: Administrative Duplicate Publication2
A doubly stochastic point process approach for spatio-temporal dynamics of crime data2
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