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A neural network applied to economic time series

Draisma, Gerrit - 1995

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Bayesian simultaneous equations analysis using reduced rank structures

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Adaptive polar sampling : a new MC technique for the analysis of III-behaved surfaces

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Testing for integration using evolving trend and seasonals models : a Bayesian approach

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A simple strategy to prune neural networks with an application to economic time series

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Some remarks on the simulation revolution in Bayesian econometric inference

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Parallelization experience with four canonical econometric models using ParMitISEM

Basturk, Nalan; Grassi, Stefano; Hoogerheide, Lennart; … - 2016

This paper presents the parallel computing implementation of the MitISEM algorithm, labeled Parallel MitISEM. The basic MitISEM algorithm, introduced by Hoogerheide, Opschoor and Van Dijk (2012), provides an automatic and flexible method to approximate a non-elliptical target density using...

Persistent link: https://www.econbiz.de/10011441581

Computational complexity and parallelization in Bayesian econometric analysis

Baştürk, Nalan; Casarin, Roberto; Ravazzolo, Francesco; … - In: Econometrics : open access journal 4 (2016) 1, pp. 1-3

Persistent link: https://www.econbiz.de/10011504585

Parallelization experience with four canonical econometric models using ParMitISEM

Baştürk, Nalan; Grassi, Stefano; Hoogerheide, Lennart; … - In: Econometrics : open access journal 4 (2016) 1, pp. 1-20

This paper presents the parallel computing implementation of the MitISEM algorithm, labeled Parallel MitISEM. The basic MitISEM algorithm provides an automatic and flexible method to approximate a non-elliptical target density using adaptive mixtures of Student-t densities, where only a kernel...

Persistent link: https://www.econbiz.de/10011504818