OOIR: Observatory of International Research

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 2021-05-01 to 2025-05-01.)

Article	Citations
Bayesian adjustment for measurement error in an offset variable in a Poisson regression model	21
A model for space-time threshold exceedances with an application to extreme rainfall	14
Integrating joint latent class mixed models and Bayesian network for uncovering clinical subgroups of COVID-19 patients	9
The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany	9
Editorial	9
On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods	8
Bayesian discrete conditional transformation models	8
Simple or complex statistical models: Non-traditional regression models with intuitive interpretations	6
Response mixture models based on supervised components: Clustering floristic taxa	6
A Bayesian framework for modelling the preferential selection process in respondent-driven sampling	5
Discussion on: ‘Simple or complex statistical models: Non-traditional regression models with intuitive interpretations’ by Gillian Z. Heller	5
Fast, effective, and coherent time series modelling using the sparsity-ranked lasso	5
Twenty-five years of statistics and Statistical Modelling	4
A flexible Bayesian hierarchical quantile spatial model for areal data	4
Rational voting behaviour accounting for heterogeneous ballots in British elections	4
Parametric estimation of non-crossing quantile functions	4
Obituary: Brian Douglas Marx	4
Random effect models for multivariate mixed data: A Parafac-based finite mixture approach	3
Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal	3
Editorial: An informal look at 25 Years of Statistical Modelling papers	3
A Bayesian approach for variable selection in mixture of logistic regressions with Pólya-Gamma data augmentation	3
An extended generalized Pareto regression model for count data	3
Graph-structured variable selection with Gaussian Markov random field horseshoe prior	3
Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models	2
A regularized hidden Markov model for analyzing the ‘hot shoe’ in football	2

A spline-based framework for the flexible modelling of continuously observed multistate survival processes	2
Guest Editorial: Special Issue in Honour of Murray Aitkin	2
A statistical modelling approach to feedforward neural network model selection	2
Interactively visualizing distributional regression models with distreg.vis	2
Dual-phase threshold selection methodology for modelling extreme events	2
Impact of jittering on raster- and distance-based geostatistical analyses of DHS data	2
Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models	2
A novel mixture model for characterizing human aiming performance data	2
Inference on a bivariate binomial distribution with zero-inflation applicable to baseball data	2
Covariate-modulated rectangular latent Markov models with an unknown number of regime profiles	1
Fast and efficient joint modelling of multivariate longitudinal data and time-to-event data with a pairwise-fitting approach	1
A joint normal-binary (probit) model for high-dimensional longitudinal data	1
Guided structure learning of DAGs for count data	1
On Lasso and adaptive Lasso for non-random sample in credit scoring	1
Withdrawal: Administrative Duplicate Publication	1
Joint modelling of dyadic and monadic count outcomes: an application to modelling forced migration flows	1
A Bayesian hierarchical model for predicting rates of oxygen consumption in mechanically ventilated intensive care patients	1
Nonlinear discrete-time hazard models for women's entry into marriage	1
Taking advantage of sampling designs in spatial small-area survey studies	1
Canonical correlation analysis in high dimensions with structured regularization	0
A joint transition model for evaluating eGFR as biomarker for rejection after kidney transplantation	0
Power logit regression for modeling bounded data	0
Joint modelling of non-crossing additive quantile regression via constrained B-spline varying coefficients	0
Multi-parameter regression survival modelling with random effects	0
A combined overdispersed longitudinal model for nominal data	0
A multilevel analysis of real estate valuation using distributional and quantile regression	0
Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India	0
Childhood obesity in Singapore: A Bayesian nonparametric approach	0
Editorial	0
Realized covariance models with time-varying parameters and spillover effects	0
A two-level multivariate response model for data with latent structures	0
P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions	0
Quantile regression for longitudinal data via the multivariate generalized hyperbolic distribution	0
Reflections on statistical modelling: A conversation with Murray Aitkin	0
Editorial	0
Bayesian effect selection in structured additive quantile regression	0
Editorial to the Special Issue “Applications of P-Splines” in Memory of Brian D. Marx	0
Semi-parametric model approach to causal mediation analysis for longitudinal data	0
A doubly stochastic point process approach for spatio-temporal dynamics of crime data	0
Statistical modelling of COVID-19 data: Putting generalized additive models to work	0
Smoothing spatio-temporal data with complex missing data patterns	0
A two-part measurement error model to estimate participation in undeclared work and related earnings	0
Spatio-temporal hierarchical clustering of interval time series with application to suicide rates in Europe	0
Multivariate functional additive mixed models	0
Copula-based pairwise estimator for quantile regression with hierarchical missing data	0
Semi-parametric hidden Markov model for large-scale multiple testing under dependency	0
Robust clustering based on finite mixture of multivariate fragmental distributions	0
Bayesian modelling of integer-valued transfer function models	0
Bayesian clustered coefficients regression with auxiliary covariates assistant random effects	0
A spatially explicit N-mixture model for the estimation of disease prevalence	0

Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes	0
Tensor product P-splines using a sparse mixed model formulation	0
Mixture models and networks: The stochastic blockmodel	0
Self-exciting point process modelling of crimes on linear networks	0
Mixed effect modelling and variable selection for quantile regression	0
Interpretable modelling of retail demand and price elasticity for passenger flights using booking data	0
Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market	0
Derivative curve estimation in longitudinal studies using P-splines	0
A Bayesian semiparametric mixed effects proportional hazards model for clustered partly interval-censored data	0
Editorial	0
Outlier accommodation with semiparametric density processes: A study of Antarctic snow density modelling	0
A black box approach to fitting smooth models of mortality	0
Spatial smoothing revisited: An application to rental data in Munich	0
Linear or smooth? Enhanced model choice in boosting via deselection of base-learners	0
Maximum approximate likelihood estimation of general continuous-time state-space models	0
Recurrent events analysis with piece-wise exponential additive mixed models	0
A truncated mean-parameterized Conway-Maxwell-Poisson model for the analysis of Test match bowlers	0
Bayesian analysis of two-part nonlinear latent variable model: Semiparametric method	0
Modelling agreement for binary intensive longitudinal data	0
Estimation for vector autoregressive model under multivariate skew- t -normal innovations	0
Ordinal compositional data and time series	0
Principal component regression in GAMLSS applied to Greek–German government bond yield spreads	0
Soft-clipping INGARCH models for time series of bounded counts	0
A time-varying GARCH mixed-effects model for isolating high- and low- frequency volatility and co-volatility	0
A general framework for random effects models for binary, ordinal, count type and continuous dependent variables	0
Bayesian semiparametric inference for TVP-SVAR models with asymmetry and fat tails	0
Robust function-on-function interaction regression	0
Dynamic modelling of corporate credit ratings and defaults	0