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Neural nets for indirect inference
Creel, Michael D. - 2016
Persistent link: https://www.econbiz.de/10011607329
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Financial frictions and the wealth distribution
Fernández-Villaverde, Jesús; Hurtado, Samuel; Nuño, Galo - 2020
Persistent link: https://www.econbiz.de/10012226875
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Neural network based approximations to posterior densities : a class of flexible sampling methods with applications to reduced rank models
Hoogerheide, Lennart F. (contributor);  … - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002056010
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Bayesian neural network learning for repeat purchase modelling in direct marketing
Viaene, Stijn; Baesens, Bart; VanDenPoel, Dirk; … - 2001
Persistent link: https://www.econbiz.de/10001594215
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Note on neural network sampling for Bayesian inference of mixture processes
Hoogerheide, Lennart F. (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003484078
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Financial frictions and the wealth distribution
Fernández-Villaverde, Jesús; Hurtado, Samuel; Nuño, Galo - 2020
We postulate a nonlinear DSGE model with a financial sector and heterogeneous households. In our model, the interaction between the supply of bonds by the financial sector and the precautionary demand for bonds by households produces significant endogenous aggregate risk. This risk induces an...
Persistent link: https://www.econbiz.de/10012260513
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Inference using simulated neural moments
Creel, Michael D. - 2020 - This version: November 2020
Persistent link: https://www.econbiz.de/10012431141
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Loss-based variational Bayes prediction
Frazier, David T.; Loiza-Maya, Ruben; Martin, Gael M.; … - 2021
Persistent link: https://www.econbiz.de/10012614593