Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models
Abstract: Model selection in linear regression models is a major challenge when dealing with high-dimensional data where the number of available measurements (sample size) is much smaller than the ...
Primary and secondary outcome measures Children’s mental health was assessed using the Mental Health Test; parental anxiety and depression were measured with the Generalised Anx ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...
Abstract: In this work, we focus on studying the differentiable relaxations of several linear regression problems, where the original formulations are usually both nonsmooth with one nonconvex term.
You finish a drink at the bar, friends arrive and a table opens. You grab your glass, head to the dining room and ask a simple question: "Can you transfer my tab?" For bartenders, that routine request ...
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