Time series analysis concerns the study of data collected sequentially over time, with the dual objectives of understanding its dependence structure and generating reliable forecasts. Model selection ...
High-dimensional statistical models arise when the number of candidate predictors greatly exceeds the number of observations, a setting common in genomics, neuroimaging and finance. Group variable ...
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