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Juan Andres Riquelme

Biographic Data

ID8921175
NAMEJuan Andres Riquelme
GIVEN NAMESJuan Andres
FAMILY NAMERiquelme
SIGNATURERIQUELME J A
AFFILIATIONSUniversity of Talca
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2017
H-INDEX0
  • Sharp Threshold Detection Based on Sup-Norm Error Rates in High-Dimensional Models

    Laurent Callot, Mehmet Caner et al.•ARTICLE•Journal of Business and Economic…•2017

    We propose a new estimator, the thresholded scaled Lasso, in high-dimensional threshold regressions. First, we establish an upper bound on the l∞ estimation error of the scaled Lasso estimator of Lee, Seo, and Shin. This is a nontrivial task as the literature on high-dimensional models has focused almost exclusively on l1 and l2 estimation errors. We show that this sup-norm bound can be used to distinguish between zero and nonzero coefficients at…

No prominent works on this page.

  • Sharp Threshold Detection Based on Sup-Norm Error Rates in High-Dimensional Models

    Laurent Callot, Mehmet Caner et al.•ARTICLE•Journal of Business and Economic…•2017

    We propose a new estimator, the thresholded scaled Lasso, in high-dimensional threshold regressions. First, we establish an upper bound on the l∞ estimation error of the scaled Lasso estimator of Lee, Seo, and Shin. This is a nontrivial task as the literature on high-dimensional models has focused almost exclusively on l1 and l2 estimation errors. We show that this sup-norm bound can be used to distinguish between zero and nonzero coefficients at…

Advanced Statistical Methods and Models (1 work) · Computer Science (1 work) · Econometrics (1 work) · Image and Signal Denoising Methods (1 work) · Law (1 work) · Mathematics (1 work) · Political science (1 work) · Statistical Methods and Inference (1 work) · Statistics (1 work)

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