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Some remarks on the simulation revolution in Bayesian econometric inference

Dijk, Herman K. van - In: Econometric reviews 18 (1999) 1, pp. 105-112

Persistent link: https://www.econbiz.de/10001395558

Bayesian simultaneous equations analysis using reduced rank structures

Kleibergen, Frank; Dijk, Herman K. van - In: Econometric theory 14 (1998) 6, pp. 701-743

Persistent link: https://www.econbiz.de/10001352109

Bezit en gebruik van personenauto's in zes EG-landen

Dijk, Herman K. van - In: Tijdschrift vervoerswetenschap : kwartaalschrift van de … 28 (1992) 4, pp. 465-482

Persistent link: https://www.econbiz.de/10001137927

A neural network applied to the calculation of Lyapunov exponents

Kaashoek, Johan F. - In: Econometric reviews 13 (1994) 1, pp. 123-137

Persistent link: https://www.econbiz.de/10001158124

Structure and dynamics in econometrics

Kiviet, J. F. (contributor); Dijk, Herman K. van (contributor) - In: Journal of econometrics 63 (1994) 1

Persistent link: https://www.econbiz.de/10001164650

Special issue on econometric inference using simulation techniques

Brown, Bryan W. (contributor); Monfort, Alain (contributor); … - In: Journal of applied econometrics 8 (1993), pp. 1-173

Persistent link: https://www.econbiz.de/10001153473

Bayes, Bernoullis, and Basel

Bauwens, Luc (contributor); Polasek, Wolfgang (contributor); … - In: Journal of econometrics 75 (1996) 1

Persistent link: https://www.econbiz.de/10001205699

Distribution and mobility of wealth of nations

Paap, Richard - In: European economic review : EER 42 (1998) 7, pp. 1269-1293

Persistent link: https://www.econbiz.de/10001252081

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