Penalized maximum likelihood estimation with symmetric log-concave errors and LASSO penalty-Reference-Cited by-同舟云学术

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Penalized maximum likelihood estimation with symmetric log-concave errors and LASSO penalty

Published:2022-11-30 Issue:6 Volume:29 Page:641-653
ISSN:2287-7843
Container-title:Communications for Statistical Applications and Methods
language:en
Short-container-title:Communications for Statistical Applications and Methods

Author:

Park Seo-Young¹,Kim Sunyul²,Seo Byungtae¹

Affiliation:

1. Department of Statistics, Sungkyunkwan University, Korea

2. Samsung Electronics Co., LTD, Korea

Publisher

The Korean Statistical Society

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Finance,Modeling and Simulation,Statistics and Probability

Link

http://pdf.medrang.co.kr/CSAM/2022/029/CSAM029-06-641.pdf

Reference29 articles.

1. Bagnoli M and Bergstrom T (2005). Log-concave probability and its applications. Economic Theory, 26, 445-469.

2. Balabdaoui F, Rufibach K, and Wellner JA (2009). Limit distribution theory for maximum likelihood estimation of a log-concave density. The Annals of Statistics, 37, 1299.

3. Breiman L and Friedman JH (1985). Estimating optimal transformations for multiple regression and correlation. Journal of the American Statistical Association, 80, 580-598.

4. Chen Y and Samworth RJ (2013). Smoothed log-concave maximum likelihood estimation with applications. Statistica Sinica, 23, 1373-1398.

5. Dharmadhikari S and Joag-Dev K (1988). Unimodality, Convexity, and Applications, Boston, Boston, Academic Press.

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