There is a vast amount of work on high-dimensional regression. The common starting point for the existing theoretical to assume data generating model homoscedastic linear regression with some sparsity structure. In reality homoscedasticity assumption often violated, and hence understanding heteroscedasticity critical importance. this article we systematically study estimation heteroscedastic mo...