Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models

Hui Zou; Runze Li

doi:10.1214/07-AOS0316REJ

Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models

Hui Zou, Runze Li

Research output: Contribution to journal › Review article › peer-review

32 Scopus citations

Abstract

We would like to take this opportunity to thank the discussants for their thoughtful comments and encouragements on our work. The discussants raised a number of issues from theoretical as well as computational perspectives. Our rejoinder will try to provide some insights into these issues and address specific questions asked by the discussants.

Original language	English (US)
Pages (from-to)	1561-1566
Number of pages	6
Journal	Annals of Statistics
Volume	36
Issue number	4
DOIs	https://doi.org/10.1214/07-AOS0316REJ
State	Published - Aug 2008

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1214/07-AOS0316REJ

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title = "Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models",

abstract = "We would like to take this opportunity to thank the discussants for their thoughtful comments and encouragements on our work. The discussants raised a number of issues from theoretical as well as computational perspectives. Our rejoinder will try to provide some insights into these issues and address specific questions asked by the discussants.",

author = "Hui Zou and Runze Li",

year = "2008",

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doi = "10.1214/07-AOS0316REJ",

language = "English (US)",

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pages = "1561--1566",

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T2 - One-step sparse estimates in nonconcave penalized likelihood models

AU - Zou, Hui

AU - Li, Runze

PY - 2008/8

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N2 - We would like to take this opportunity to thank the discussants for their thoughtful comments and encouragements on our work. The discussants raised a number of issues from theoretical as well as computational perspectives. Our rejoinder will try to provide some insights into these issues and address specific questions asked by the discussants.

AB - We would like to take this opportunity to thank the discussants for their thoughtful comments and encouragements on our work. The discussants raised a number of issues from theoretical as well as computational perspectives. Our rejoinder will try to provide some insights into these issues and address specific questions asked by the discussants.

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DO - 10.1214/07-AOS0316REJ

M3 - Review article

AN - SCOPUS:51049087316

SN - 0090-5364

VL - 36

SP - 1561

EP - 1566

JO - Annals of Statistics

JF - Annals of Statistics

IS - 4

ER -

Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models

Abstract

All Science Journal Classification (ASJC) codes

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