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Learning to Average Predictively Over Good and Bad : Comment on: Using Stacking to Average Bayesian Predictive Distributions
Hoogerheide, Lennart F. - 2018
We suggest to extend the stacking procedure for a combination of predictive densities, proposed by Yao et al in the journal Bayesian Analysis to a setting where dynamic learning occurs about features of predictive densities of possibly misspecified models. This improves the averaging process of...
Persistent link: https://www.econbiz.de/10012913233
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The AdMit package
Ardia, David (contributor);  … - 2008
Persistent link: https://www.econbiz.de/10003754344
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Adaptive mixture of student-t distributions as a flexible candidate distribution for efficient simulation : the R package AdMit
Ardia, David; Hoogerheide, Lennart F.; Dijk, Herman K. van - 2008
Persistent link: https://www.econbiz.de/10003739124
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Bayesian forecasting of value at risk and expected shortfall using adaptive importance sampling
Hoogerheide, Lennart F.; Dijk, Herman K. van - 2008
Persistent link: https://www.econbiz.de/10003774522
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Simulation based Bayesian econometric inference : principles and some recent computational advances
Hoogerheide, Lennart F. (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003414359
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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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Bayesian estimation of the GARCH (1,1) model with student-t innovations
Ardia, David; Hoogerheide, Lennart F. - 2010
Persistent link: https://www.econbiz.de/10003974018
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Efficient Bayesian estimation and combination of GARCH-type models
Ardia, David; Hoogerheide, Lennart F. - 2010
Persistent link: https://www.econbiz.de/10003974028
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Stock index returns' density prediction using GARCH models : frequentist or Bayesian estimation?
Hoogerheide, Lennart F.; Ardia, David; Corré, Nienke - 2011
Persistent link: https://www.econbiz.de/10008824705