STATISTICAL MODELLING

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This journal focuses on statistical modelling techniques, including generalized additive models with shape constraints, extensions of Benford's Law for digit analysis, zero-inflated beta regression for longitudinal microbiome data, and discrete-time hazard models. It also covers correlated effects models for longitudinal studies, variance factorized loglinear models for count data, and spatial logistic regression. Further topics include optimal designs for beta binomial regression, gradient boosting for graph structures, distributional copula regression for bivariate responses, and ordinal-on-ordinal regression. The journal also addresses high-dimensional generalized linear models, penalized regression for genomic and clinical data, multivariate time-series with latent regimes, paired comparison models, mixture of generalized nonlinear models for gas flow, and statistical modelling of annotation uncertainty in machine learning. Additionally, it features research on temporal Poisson factorization for text analysis, latent Markov models, flexible modelling of continuous covariates, mixture of factor analyzers for dimension reduction and clustering, and stepwise approaches for latent variable models.

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