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With emergence of biomedical informatics, Web intelligence, and E-business, new challenges are coming for knowledge discovery and data mining modeling problems. In this dissertation work, a framework named Granular Support Vector Machines (GSVM) is proposed to systematically and formally combine...
Persistent link: https://www.econbiz.de/10009463403
This paper applies the Model Confidence Set (MCS) procedure of Hansen, Lunde, and Nason (2003) to a set of volatility models. A MCS is analogous to confidence interval of a parameter in the sense that the former contains the best forecasting model with a certain probability. The key to the MCS...
Persistent link: https://www.econbiz.de/10010318935
This paper applies the model confidence sets (MCS) procedure to a set of volatility models. A MSC is analogous to a confidence interval of parameter in the sense that the former contains the best forecasting model with a certain probability. The key to the MCS is that it acknowledges the...
Persistent link: https://www.econbiz.de/10014048659
Because of its many advantages, the use of decision trees has become an increasingly popular alternative predictive tool for building classification and regression models. Its origins date back for about five decades where the algorithm can be broadly described by repeatedly partitioning the...
Persistent link: https://www.econbiz.de/10012914471
What determines Foreign Direct Investment (FDI) inflows remains a primary concern of economists and policy makers; yet the uncertainty surrounding FDI theories and empirical approaches has created ambiguity regarding the determinants of FDI. It is a common practice in the fields of economics and...
Persistent link: https://www.econbiz.de/10013227861
Disclosure of prudential information on environmental, social and governance (ESG) risks will become mandatory from June, 2022 for large institutions with securities traded on a regulated market of any Member State. This paper tries to assess how prepared European financial institutions are for...
Persistent link: https://www.econbiz.de/10013297590
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In Data-Warehouse-Systemen (DWS) stehen verschiedene Möglichkeiten zur Verfügung, um Speicherkosten zu senken (wie Nearline-Storage oder Archivierung) oder Datenanalysezeiten zu verringern (wie durch die Verwendung von Hauptspeicher bzw. kompletter In-Memory-Datenhaltung). Bisher fehlte...
Persistent link: https://www.econbiz.de/10013518371