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Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain
Inference on a low-dimensional parameter after model selection imperfect model selection instrumental variables Lasso post-Lasso data-driven penalty heteroscedasticity non-Gaussian errors moderate deviations for self-normalized sums
2014/9/10
We develop results for the use of Lasso and post-Lasso methods to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with many instruments, p. O...
A Note on Sparse Minimum Variance Portfolios and Coordinate-Wise Descent Algorithms
Minimum Variance Portfolios Coordinate-Wise Descent Algorithms
2010/10/20
In this short report, we discuss how coordinate-wise descent algorithms can be used to solve minimum variance portfolio (MVP) problems in which the portfolio weights are constrained by $l_{q}$ norms,...