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selection operator (LASSO), this approach sets certain regression coefficients exactly to zero, thus performing variable … selection. However, such a framework, contrary to the LASSO, has never been used in regression models for survival data with …
Persistent link: https://www.econbiz.de/10010745019
can be easily modified by adding a LASSO penalty term if a sparse representation is desired, or by restricting the … asymptotic properties of the estimation, both with or without LASSO, are established. A measure and an associated statistical … applications in portfolio tracking, which demonstrates the usefulness of combining MQE with LASSO. …
Persistent link: https://www.econbiz.de/10011126049
We propose a new method to determine the cointegration rank in the error correction model of Engle and Granger (1987). To this end, we first estimate the cointegration vectors in terms of a residual-based principal component analysis. Then the cointegration rank, together with the lag order, is...
Persistent link: https://www.econbiz.de/10010746018