2025-02-23T15:11:21-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-108913%22&qt=morelikethis&rows=5
2025-02-23T15:11:21-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-108913%22&qt=morelikethis&rows=5
2025-02-23T15:11:21-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T15:11:21-05:00 DEBUG: Deserialized SOLR response

Нові підходи регресії у фінансовій математиці і науках про життя з використанням адитивних моделей

This paper introduces into and improves the theoretical research done by the authors in the last two years in the applied area of GAMs (generalized additive models) which belong to the modern statistical learning, important in many areas of prediction, e.g., in financial mathematics and life science...

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Bibliographic Details
Main Authors: Taylan, P., Weber, G.-W.
Format: Article
Language:English
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2008
Online Access:http://journal.iasa.kpi.ua/article/view/108913
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