DOIAbstract
Challenging statements have appeared in recent years in the literature on advances in computational procedures.[...
Challenging statements have appeared in recent years in the literature on advances in computational procedures.[...
In this paper, we present a brief review of research work attempting to tackle the issue of tractabi...
A new book in the Econometric Exercises series, this volume contains questions and answers to provid...
constitutes a class of computational methods rooted in Bayesian statistics. In all model-based stati...
Challenging statements have appeared in recent years in the literature on advances in computational ...
The emergence in the past years of Bayesian analysis in many methodological and applied fields as th...
© 2015, The Author(s). Recent decades have seen enormous improvements in computational inference for...
The past decades have seen enormous im-provements in computational inference based on sta-tistical m...
Bayesian inference in economics is primarily perceived as a methodology for cases where the data are...
Recent decades have seen enormous improvements in computational inference for statistical models; th...
Current statistical methods for facilitating data-driven decision making are too computationally int...
As technology progresses, the processors used for statistical computation are not getting faster: th...
The computational properties of an econometric method are fundamental determinants of its importance...
AbstractI borrow themes from statistics—epsecially the Bayesian ideas underlying average-case analys...
A full-fledged Bayesian computation requries evaluation of the posterior probability density in t...
Abstract: This chapter surveys advances in the field of Bayesian com-putation over the past twenty y...
In this paper, we present a brief review of research work attempting to tackle the issue of tractabi...
A new book in the Econometric Exercises series, this volume contains questions and answers to provid...
constitutes a class of computational methods rooted in Bayesian statistics. In all model-based stati...
Challenging statements have appeared in recent years in the literature on advances in computational ...
The emergence in the past years of Bayesian analysis in many methodological and applied fields as th...
© 2015, The Author(s). Recent decades have seen enormous improvements in computational inference for...
The past decades have seen enormous im-provements in computational inference based on sta-tistical m...
Bayesian inference in economics is primarily perceived as a methodology for cases where the data are...
Recent decades have seen enormous improvements in computational inference for statistical models; th...
Current statistical methods for facilitating data-driven decision making are too computationally int...
As technology progresses, the processors used for statistical computation are not getting faster: th...
The computational properties of an econometric method are fundamental determinants of its importance...
AbstractI borrow themes from statistics—epsecially the Bayesian ideas underlying average-case analys...
A full-fledged Bayesian computation requries evaluation of the posterior probability density in t...
Abstract: This chapter surveys advances in the field of Bayesian com-putation over the past twenty y...
In this paper, we present a brief review of research work attempting to tackle the issue of tractabi...
A new book in the Econometric Exercises series, this volume contains questions and answers to provid...
constitutes a class of computational methods rooted in Bayesian statistics. In all model-based stati...
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