Add to ORKGThis is a chapter for the book "Bayesian Methods and Expert Elicitation" edited by Klaus Bocker, 23 pages, 9 figuresWhile Robert and Rousseau (2010) addressed the foundational aspects of Bayesian analysis, the current chapter details its practical aspects through a review of the computational methods available for approximating Bayesian procedures. Recent innovations like Monte Carlo Markov chain, sequential Monte Carlo methods and more recently Approximate Bayesian Computation techniques have considerably increased the potential for Bayesian applications and they have also opened new avenues for Bayesian inference, first and foremost Bayesian model choice
In this chapter, we will first present the most standard computational challenges met in Bayesian St...
The past decades have seen enormous im-provements in computational inference based on sta-tistical m...
Since 1990, Bayesian statistical methods have undergone major advances, both in estimation technique...
This is a chapter for the book "Bayesian Methods and Expert Elicitation" edited by Klaus Bocker, 23 ...
While the previous chapter (Robert and Rousseau, 2010) addressed the foundational aspects of Bayesia...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
© 2015, The Author(s). Recent decades have seen enormous improvements in computational inference for...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
Recent decades have seen enormous improvements in computational inference for statistical models; th...
This is a revised version of a chapter written for the Handbook of Computational Statistics, edited ...
Abstract: This chapter surveys advances in the field of Bayesian com-putation over the past twenty y...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...
If, in the mid 1980's, one had asked the average statistician about the di-culties of using Bayesian...
The emergence in the past years of Bayesian analysis in many methodological and applied fields as th...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
In this chapter, we will first present the most standard computational challenges met in Bayesian St...
The past decades have seen enormous im-provements in computational inference based on sta-tistical m...
Since 1990, Bayesian statistical methods have undergone major advances, both in estimation technique...
This is a chapter for the book "Bayesian Methods and Expert Elicitation" edited by Klaus Bocker, 23 ...
While the previous chapter (Robert and Rousseau, 2010) addressed the foundational aspects of Bayesia...
This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal me...
© 2015, The Author(s). Recent decades have seen enormous improvements in computational inference for...
This is a 20 page chapter for the upcoming Handbook of Statistical Systems Biology (D. Balding, M. S...
Recent decades have seen enormous improvements in computational inference for statistical models; th...
This is a revised version of a chapter written for the Handbook of Computational Statistics, edited ...
Abstract: This chapter surveys advances in the field of Bayesian com-putation over the past twenty y...
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide vari...
If, in the mid 1980's, one had asked the average statistician about the di-culties of using Bayesian...
The emergence in the past years of Bayesian analysis in many methodological and applied fields as th...
The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computat...
In this chapter, we will first present the most standard computational challenges met in Bayesian St...
The past decades have seen enormous im-provements in computational inference based on sta-tistical m...
Since 1990, Bayesian statistical methods have undergone major advances, both in estimation technique...