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 ...
From birth-month signatures to global climate gradients, emerging evidence indicates that seasonal light, temperature, and ...
Research shows ECC shells can transform RC beam-column joints, enhancing load capacity and energy dissipation, crucial for earthquake-resistant design.
Abstract: Shuffled linear regression (SLR) seeks to estimate latent features through a linear transformation, complicated by unknown permutations in the measurement dimensions. This problem extends ...
Endovascular thrombectomy for large vessel occlusion stroke in patients with pre-existing disability
Background Approximately one in three patients with acute ischemic stroke (AIS) suffer from a premorbid disability prior to ...
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 ...
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