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Econometrics with Machine Learning. 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Linear Econometric Models with Machine Learning. 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Econometrics of Networks with Machine Learning. 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The Use of Machine Learning in Treatment Effect Estimation. 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Econometrics with Machine Learning. (2022) ISBN:9783031151484; 9783031151491<div class="Book Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype-1"> Szerkesztő: <span class="author-name" >Chan Felix </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10012130"><a href="/gui2/?type=authors&mode=browse&sel=10012130" target="_blank">Mátyás László (<span class="authorship-author-name">Mátyás László</span> <span class="authorAux-mtmt"> Közgazdaságtudomány</span>) </a> </span> <span class="author-affil"><span title="Közép-európai Egyetem">KEE</span>/Economics Department</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;33088041" target="_blank">Econometrics with Machine Learning</a></div><div class="publish-data"> <span class="published-at"> Cham</span>: <span class="publishers">Springer International Publishing</span>, <span class="pages">371 p.</span> <span class="year">(2022)</span> </div> <span class="volume"> <span class="volumeTitle"></span> ( <span class="seriesTitle">Advanced Studies in Theoretical and Applied Econometrics; </span> <span class="seriesVolume">53</span> ) <br> </span> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1007/978-3-031-15149-1" target="_blank" href="https://doi.org/10.1007/978-3-031-15149-1"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9783031151484" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9783031151484"> 9783031151484 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9783031151491" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9783031151491"> 9783031151491 </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://link.springer.com/10.1007/978-3-031-15149-1" target="_blank" href="https://link.springer.com/10.1007/978-3-031-15149-1"> Egyéb URL </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 33088041</span> | <span class="status-data status-APPROVED"> Nyilvános </span> Forrás | <span class="type-subtype">Könyv ( Szakkönyv ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Utolsó módosítás: 2024.08.15. 10:57 Tomcsányi Zsuzsanna (MTMT_KP_admin) </div> <div class="chapters"> <b><a target="_blank" href="/api/publication?from=BookChapter&cond=book.mtid;eq;33088041">Fejezetek: 3</a></b> </div> </div></div>