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33![This article was originally published in a journal published by Elsevier, and the attached copy is provided by Elsevier for the author’s benefit and for the benefit of the author’s institution, for non-commercial res This article was originally published in a journal published by Elsevier, and the attached copy is provided by Elsevier for the author’s benefit and for the benefit of the author’s institution, for non-commercial res](https://www.pdfsearch.io/img/4e38f0d6845fd65fcd25a31d55e1ffbf.jpg) | Add to Reading ListSource URL: ocean.mit.eduLanguage: English - Date: 2007-05-24 12:30:06
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38![Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model](https://www.pdfsearch.io/img/6ae740c0b34f5565386af3eddc2eebe1.jpg) | Add to Reading ListSource URL: www.dcc.fc.up.ptLanguage: English - Date: 2012-12-13 10:18:43
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40![INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL arXiv:1411.6507v1 [stat.ME] 24 NovALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL arXiv:1411.6507v1 [stat.ME] 24 NovALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR](https://www.pdfsearch.io/img/585759f418d5e3d4a21e4737904a08b0.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2014-11-24 20:40:16
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