Model selection for high-dimensional linear regression with dependent observations

18 Jun 2019Ching-Kang Ing

We investigate the prediction capability of the orthogonal greedy algorithm (OGA) in high-dimensional regression models with dependent observations. The rates of convergence of the prediction error of OGA are obtained under a variety of sparsity conditions... (read more)

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