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The primary aim of the journal is to publish original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas. Submissions must reflect important developments, extensions, and applications in statistical modelling. The journal also encourages submissions that describe scientifically interesting, complex or novel statistical modelling aspects from a wide diversity of disciplines, and submissions that embrace the diversity of applied statistical modelling.
Random EffectsLongitudinal DataMarkov Chain Monte CarloVariable SelectionQuantile RegressionEM AlgorithmGeneralized Linear ModelsCount DataModel SelectionMaximum LikelihoodMixture ModelMaximum Likelihood EstimationMissing DataFinite MixtureDirichlet ProcessStatistical ModelsSurvival AnalysisBayesian AnalysisTime SeriesPoisson Regression
The primary aim of the journal is to publish original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas. Submissions must reflect important developments, extensions, and applications in statistical modelling. The journal also encourages submissions that describe scientifically interesting, complex or novel statistical modelling aspects from a wide diversity of disciplines, and submissions that embrace the diversity of applied statistical modelling.