WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS
WILEY · US · Est. 1999
Aims & Scope✦ Inferred from recent articles
This journal publishes reviews on statistical methods and computational statistics. Recent articles focus on high-dimensional covariance estimation, functional graphical models, text mining for science mapping, sufficient dimension reduction, contrastive dimension reduction, subgroup identification using change point analysis, modal regression, analytic survey inference, marginal likelihood computation, statistical process monitoring of functional data, and optimal transport methods. Applications are found in diverse fields including economics, finance, bioinformatics, climate research, social network analysis, brain connectivity, protein signaling, transportation systems, longitudinal microbiome studies, genomics, imaging, time series analysis, econometrics, public health, biostatistics, and industrial settings.
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