We propose both a penalized quantile regression and an independence screening procedure to identify important covariates and to exclude unimportant ones for
This talk will consider the task of estimating the underlying integrated covariation matrix function from noisy observations of a multidimensional continuou
Its of vital significance to provide accurate wind speed prediction algorithms for effective wind farm management and for efficient conversion of wind power