A2RMS Algorithm Code
Implementation of the A2RMS Algorithm in Matlab
Status: Beta
Brought to you by:
jread82_nz
File | Date | Author | Commit |
---|---|---|---|
IA2RMS.m | 2015-11-23 |
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[398329] update for new release |
README.txt | 2015-11-23 |
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[398329] update for new release |
Sample_Eval_Proposal.m | 2014-10-20 |
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[f05eaa] minor speed improvement |
build_proposal.m | 2014-10-20 |
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[f05eaa] minor speed improvement |
checkInitPoints.m | 2014-10-20 |
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[48ad3d] Faster and more robust code |
eval_proposal.m | 2014-10-20 |
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[48ad3d] Faster and more robust code |
make_release.sh | 2015-11-23 |
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[398329] update for new release |
See http://a2rms.sourceforge.net/ for info, or L. Martino, J. Read, D. Luengo, "Independent Doubly Adaptive Rejection Metropolis Sampling within Gibbs Sampling", IEEE Transactions on Signal Processing, Volume 63, Issue 12, Pages: 3123-3138, 2015. The IA2RMS algorithm have been already applied successfully, e.g., in: - F. Feng, T. B. Kepler. "Bayesian Estimation of the Active Concentration and Affinity Constants Using Surface Plasmon Resonance Technology". PLoS One. 2015; 10(6): e0130812. - H. Yang. "Markov Chain Monte Carlo Estimation of Stochastic Volatility Models with Finite and Infinite Activity Lévy Jumps. Evidence for Efficient Models and Algorithms". Doctoral dissertation, Tampere University of Technology 2015. - P. Garcia-Moreno; A. Artes-Rodriguez; Z. Ghahramani, "Human Activity Recognition by Combining a Small Number of Classifiers". (to appear) IEEE Journal of Biomedical and Health Informatics, 2015.