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  • Search: subject:"Network regression"
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Year of publication
Subject
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Estimation theory 3 Regression analysis 3 Regressionsanalyse 3 Schätztheorie 3 Network 2 Network regression 2 Netzwerk 2 Simulation 2 connection sign estimation 2 network penalty 2 ARMA models 1 Bregman divergence 1 Business network 1 Conditional tail expectation 1 Consistent loss function 1 Elicitability 1 Innovator Networks 1 Kalman filter 1 Local Innovation Systems 1 MACD technical models 1 Network Regression 1 Neural network regression 1 Neural networks 1 Neuronale Netze 1 Proper scoring rule 1 Quantile and expected shortfall regression 1 R+D Cooperation 1 Research University 1 Risikomaß 1 Risk measure 1 Social network 1 Soziales Netzwerk 1 Splicing model 1 Unternehmensnetzwerk 1 forecasting accuracy 1 logistic regression 1 neural network regression 1 regularized regression 1 regularizedregression 1 technical trading models 1
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Online availability
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Free 2 Undetermined 2
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
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Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 4 Undetermined 1
Author
All
Binder, Harald 2 Schumacher, Martin 2 Striaukas, Jonas 2 Weber, Matthias 2 Cantner, Uwe 1 Dunis, Christian L. 1 Fissler, Tobias 1 Graf, Holger 1 Merz, Michael 1 Morrison, Vincent 1 Wüthrich, Mario V. 1
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Institution
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Wirtschaftswissenschaftliche Fakultät, Friedrich-Schiller-Universität Jena 1
Published in...
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CORE discussion papers : DP 1 Insurance / Mathematics & economics 1 Jenaer Schriften zur Wirtschaftswissenschaft 1 The European Journal of Finance 1 University of St.Gallen, School of Finance Research Paper 1 Working papers on finance 1
Source
All
ECONIS (ZBW) 3 RePEc 2
Showing 1 - 5 of 5
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Deep quantile and deep composite triplet regression
Fissler, Tobias; Merz, Michael; Wüthrich, Mario V. - In: Insurance / Mathematics & economics 109 (2023), pp. 94-112
Persistent link: https://www.econbiz.de/10014282471
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Network-constrained covariate coefficient and connection sign estimation
Weber, Matthias; Striaukas, Jonas; Schumacher, Martin; … - 2020
Often, variables are linked to each other via a network. When such a network structure is known, this knowledge can be incorporated into regularized regression settings via a network penalty term. However, when the type of interaction via the network is unknown (that is, whether connections are...
Persistent link: https://www.econbiz.de/10012174169
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Network constrained covariate coefficient and connection sign estimation
Weber, Matthias; Striaukas, Jonas; Schumacher, Martin; … - 2018
Persistent link: https://www.econbiz.de/10011993270
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The Economic Value of Advanced Time Series Methods for Modelling and Trading 10-year Government Bonds
Dunis, Christian L.; Morrison, Vincent - In: The European Journal of Finance 13 (2007) 4, pp. 333-352
implementation of state space modelling using a Kalman filter and nonparametric nonlinear models with Neural Network Regression (NNR …
Persistent link: https://www.econbiz.de/10005471862
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The Network of Innovators in Jena: An Application of Social Network Analysis
Cantner, Uwe; Graf, Holger - Wirtschaftswissenschaftliche Fakultät, … - 2004
innovation system. Further we analyze the network resulting from R&D cooperations and explain - by means of network regression …
Persistent link: https://www.econbiz.de/10005105655
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