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Aims & Scope✦ Inferred from recent articles

This journal publishes research on statistical methodologies and their applications. Topics include prediction frameworks, subgroup analysis for censored data, distributed conformal prediction, hypothesis testing in high-dimensional models, point process models for spatio-temporal clustering, estimation of precision matrices, Bayesian estimators, causal inference, network analysis, uncertainty quantification using polynomial chaos expansions, federated learning, survival analysis with dependent censoring, panel data analysis with network structures, integer-valued time series with overreporting, nonparametric independence testing, space-filling designs, change detection algorithms, Bayesian variable selection for genetic fine-mapping, interaction detection in ultra-high dimensional settings, inference in variance components models, and integrative analysis of multivariate functional time series.

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Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

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Subject Classification