Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients
Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients is a scholarly work, published in 2019 in ''Computational Statistics & Data Analysis''. The main subjects of the publication include regularization, regression, non-parametric statistics, mathematics, feature selection, artificial intelligence, Genomic selection, computer science, boosting, algorithm, machine learning, pattern recognition, gradient boosting, and microarray. The authors focus on high-dimensional longitudinal observations in this article.