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  • Search: subject:"Hochdimensionale Daten"
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Year of publication
Subject
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Hochdimensionale Daten 5 High dimensional data 3 Estimation theory 2 Multivariate Analyse 2 Multivariate analysis 2 Schätztheorie 2 Time series analysis 2 Zeitreihenanalyse 2 1980-2011 1 ARCH model 1 ARCH-Modell 1 Aktienrendite 1 Analysis of variance 1 Arbitrage Pricing 1 Arbitrage pricing 1 Big Data 1 Big data 1 Capital income 1 Convex optimization 1 Data Analytics 1 Data analytics 1 Datenanalyse 1 Estimation 1 Factor analysis 1 Faktorenanalyse 1 Financial economics 1 Financial market 1 Finanzmarkt 1 Forecasting model 1 Induktive Statistik 1 Inferenzstatistik 1 Kapitaleinkommen 1 Kapitalmarkttheorie 1 Konvexe Optimierung 1 Linear algebra 1 Lineare Algebra 1 Multivariate Varianzanalyse 1 Portfolio Selection 1 Portfolio selection 1 Portfolio-Management 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 5
Type of publication (narrower categories)
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Graue Literatur 3 Non-commercial literature 3 Arbeitspapier 2 Hochschulschrift 2 Working Paper 2 Aufsatzsammlung 1 Thesis 1
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Language
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English 5
Author
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Glombek, Konstantin 1 Hochreiter, Sepp 1 Iwafuchi, Rei 1 Kaiser, Sebastian 1 Kasim, Adeyto 1 Lettau, Martin 1 Matsuda, Yasumasa 1 Sabharwal, Ragvir Singh 1 Shkedy, Ziv 1 Talloen, Willem 1
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Institution
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National Bureau of Economic Research 1
Published in...
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A Chapman & Hall book 1 Chapman & Hall/CRC biostatistics series 1 Data science and service research discussion paper 1 NBER working paper series 1 Reihe Quantitative Ökonomie : Ökon 1
Source
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ECONIS (ZBW) 5
Showing 1 - 5 of 5
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Deep learning for multivariate volatility forecasting in high-dimensional financial time series
Iwafuchi, Rei; Matsuda, Yasumasa - 2024
Persistent link: https://www.econbiz.de/10014526627
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On factor models for high-dimensional time series
Sabharwal, Ragvir Singh - 2023
Persistent link: https://www.econbiz.de/10014490982
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High Dimensional Factor Models with an Application to Mutual Fund Characteristics
Lettau, Martin - National Bureau of Economic Research - 2022
This paper considers extensions of 2-dimensional factor models to higher-dimension data that can be represented as tensors. I describe decompositions of tensors that generalize the standard matrix singular value decomposition and principal component analysis to higher dimensions. I estimate the...
Persistent link: https://www.econbiz.de/10013172133
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Applied biclustering methods for big and high dimensional data using R
Kasim, Adeyto (ed.); Shkedy, Ziv (ed.);  … - 2017
Persistent link: https://www.econbiz.de/10012388501
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High-dimensionality in statistics and portfolio optimization
Glombek, Konstantin - 2012 - 1. Aufl.
Persistent link: https://www.econbiz.de/10013360879
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