Showing 1 - 4 of 4
The integrative correlation coefficient was developed to facilitate the validation of expression microarray results in … public datasets, by identifying genes that are reproducibly measured across studies and even across microarray platforms. In …
Persistent link: https://www.econbiz.de/10010718989
This paper proposes a new method for estimating sparse precision matrices in the high dimensional setting. It has been popular to study fast computation and adaptive procedures for this problem. We propose a novel approach, called Sparse Column-wise Inverse Operator, to address these two issues....
Persistent link: https://www.econbiz.de/10011189572
models. The proposed method is based on basis function approximation and LASSO-type penalties. We show that the first stage … penalized estimator with LASSO penalty reduces the model from ultra-high dimensional to a model that has size close to the true … model, but contains the true model as a valid sub model. By applying adaptive LASSO penalty to the reduced model, the second …
Persistent link: https://www.econbiz.de/10010702800
In this paper, we consider variable selection for general transformation models with right censored data via nonconcave penalties. We will conduct the variable selection by maximizing the penalized log-marginal likelihood function. In the proposed variable selection procedures, we not only can...
Persistent link: https://www.econbiz.de/10010608106