Add to ORKGThe full-text of this book chapter is not available in ORA at this time. Citation: Doornik, J. A., Hendry, D. F. & Shephard, N. (2006). Parallel computation in econometrics: a simplified approach. In: Kontoghiorghes, E. J. (ed.), Handbook of parallel computing and statistics, London : Chapman & Hall/CRC, pp. 449-476
The computational difficulty of econometric problems has increased dramatically in recent years as e...
This chapter is an introduction to the area of parallel computation written in accordance with the g...
In this paper we develop algorithms to solve macro econometric models with forward-looking variables...
Parallel computation has a long history in econometric computing, but is not at all wide spread. We ...
The computational properties of an econometric method are fundamental determinants of its importance...
The solution of large and sparse models presents in many ways a suitable structure for implementatio...
This is a draft of the first half of a book to be published in 2014 under the Chapman & Hall imp...
This paper discusses problems related to parallel computing applied in economics. It intr...
textabstractThis paper presents the parallel computing implementation of the MitISEM algorithm, labe...
This chapter is an introduction to the area of parallel computation written in accordance with the g...
This paper shows how a high level matrix programming language may be used to perform Monte Carlo sim...
Challenging statements have appeared in recent years in the literature on advances in computational ...
In Divide & Recombine (D&R), data are divided into subsets, analytic methodsare applied to each subs...
This paper shows how a high level matrix programming language may be used to perform Monte Carlo sim...
This paper shows the potential of heterogeneous computing in solving dynamic equilibrium models in e...
The computational difficulty of econometric problems has increased dramatically in recent years as e...
This chapter is an introduction to the area of parallel computation written in accordance with the g...
In this paper we develop algorithms to solve macro econometric models with forward-looking variables...
Parallel computation has a long history in econometric computing, but is not at all wide spread. We ...
The computational properties of an econometric method are fundamental determinants of its importance...
The solution of large and sparse models presents in many ways a suitable structure for implementatio...
This is a draft of the first half of a book to be published in 2014 under the Chapman & Hall imp...
This paper discusses problems related to parallel computing applied in economics. It intr...
textabstractThis paper presents the parallel computing implementation of the MitISEM algorithm, labe...
This chapter is an introduction to the area of parallel computation written in accordance with the g...
This paper shows how a high level matrix programming language may be used to perform Monte Carlo sim...
Challenging statements have appeared in recent years in the literature on advances in computational ...
In Divide & Recombine (D&R), data are divided into subsets, analytic methodsare applied to each subs...
This paper shows how a high level matrix programming language may be used to perform Monte Carlo sim...
This paper shows the potential of heterogeneous computing in solving dynamic equilibrium models in e...
The computational difficulty of econometric problems has increased dramatically in recent years as e...
This chapter is an introduction to the area of parallel computation written in accordance with the g...
In this paper we develop algorithms to solve macro econometric models with forward-looking variables...