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VIF Regression: A Fast Regression Algorithm for Large Data

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  • Lin, Dongyu
  • Foster, Dean P.
  • Ungar, Lyle H.

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  • Lin, Dongyu & Foster, Dean P. & Ungar, Lyle H., 2011. "VIF Regression: A Fast Regression Algorithm for Large Data," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 232-247.
    • Handle: RePEc:bes:jnlasa:v:106:i:493:y:2011:p:232-247
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    Cited by:

    1. Ziqian Bao & Yihang Bai & Tao Geng, 2023. "Examining Spatial Inequalities in Public Green Space Accessibility: A Focus on Disadvantaged Groups in England," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    2. Max Grazier G'Sell & Stefan Wager & Alexandra Chouldechova & Robert Tibshirani, 2016. "Sequential selection procedures and false discovery rate control," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(2), pages 423-444, March.
    3. Farid Shirazi & Nick Hajli, 2021. "IT-Enabled Sustainable Innovation and the Global Digital Divides," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    4. Yow-Jen Jou & Chien-Chia Huang & Hsun-Jung Cho, 2014. "A VIF-based optimization model to alleviate collinearity problems in multiple linear regression," Computational Statistics, Springer, vol. 29(6), pages 1515-1541, December.
    5. Zdenka MALÁ & Michal MALÝ, 2013. "The determinants of adopting organic farming practices: a case study in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(1), pages 19-28.
    6. John B. Guerard & Ganlin Xu & Harry Markowitz, 2021. "A further analysis of robust regression modeling and data mining corrections testing in global stocks," Annals of Operations Research, Springer, vol. 303(1), pages 175-195, August.
    7. Min Zhu & Mengqi Sun & Ehsan Elahi & Yajie Li & Zainab Khalid, 2023. "Analyzing the Relationship between Green Finance and Agricultural Industrial Upgrading: A Panel Data Study of 31 Provinces in China," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    8. Liao, Zhiqiang & Dai, Sheng & Kuosmanen, Timo, 2024. "Convex support vector regression," European Journal of Operational Research, Elsevier, vol. 313(3), pages 858-870.
    9. Yencha, Christopher, 2019. "Valuing walkability: New evidence from computer vision methods," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 689-709.

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