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Editorial

Computational Complexity and Parallelization in Bayesian Econometric Analysis

1
Department of Quantitative Economics, School of Business and Economics, Maastricht University, Maastricht, 6211LM, The Netherlands
2
Department of Economics, University Ca’ Foscari of Venice, Venice, 31022, Italy
3
Faculty of Economics and Management, Free University of Bozen-Bolzano, Bolzano, 39100, Italy
4
Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam, Amsterdam, 1081HV, The Netherlands
5
Tinbergen Institute, Amsterdam, 1082 MS, The Netherlands
6
Econometric Institute, Erasmus School of Economics, Erasmus University, Rotterdam, 3062 PA, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editor: Kerry Patterson
Econometrics 2016, 4(1), 9; https://doi.org/10.3390/econometrics4010009
Received: 27 January 2016 / Revised: 28 January 2016 / Accepted: 3 February 2016 / Published: 22 February 2016
(This article belongs to the Special Issue Computational Complexity in Bayesian Econometric Analysis)
Note: In lieu of an abstract, this is an excerpt from the first page.

Challenging statements have appeared in recent years in the literature on advances in computational procedures.[...] View Full-Text
MDPI and ACS Style

Baştürk, N.; Casarin, R.; Ravazzolo, F.; Van Dijk, H.K. Computational Complexity and Parallelization in Bayesian Econometric Analysis. Econometrics 2016, 4, 9. https://doi.org/10.3390/econometrics4010009

AMA Style

Baştürk N, Casarin R, Ravazzolo F, Van Dijk HK. Computational Complexity and Parallelization in Bayesian Econometric Analysis. Econometrics. 2016; 4(1):9. https://doi.org/10.3390/econometrics4010009

Chicago/Turabian Style

Baştürk, Nalan, Roberto Casarin, Francesco Ravazzolo, and Herman K. Van Dijk 2016. "Computational Complexity and Parallelization in Bayesian Econometric Analysis" Econometrics 4, no. 1: 9. https://doi.org/10.3390/econometrics4010009

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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