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Comments on: ℓ 1-penalization for mixture regression models

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Authors and Affiliations

  1. Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ, 08544, USA

    Jianqing Fan

  2. Information and Operations Management Department, Marshall School of Business, University of Southern California, Los Angeles, CA, 90089, USA

    Jinchi Lv

Authors
  1. Jianqing Fan
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  2. Jinchi Lv
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Correspondence to Jianqing Fan.

Additional information

This comment refers to the invited paper available at: doi:10.1007/s11749-010-0197-z.

Fan’s research was partially supported by NSF Grants DMS-0704337 and DMS-0714554 and NIH Grant R01-GM072611. Lv’s research was partially supported by NSF Grant DMS-0806030. We sincerely thank the Co-Editor, Professor Ricardo Cao, for his kind invitation to comment on this discussion paper.

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Fan, J., Lv, J. Comments on: ℓ 1-penalization for mixture regression models. TEST 19, 264–269 (2010). https://doi.org/10.1007/s11749-010-0200-8

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  • DOI: https://doi.org/10.1007/s11749-010-0200-8

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