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File Date Author Commit
 IA2RMS.m 2015-11-23 Jesse Read Jesse Read [398329] update for new release
 README.txt 2015-11-23 Jesse Read Jesse Read [398329] update for new release
 Sample_Eval_Proposal.m 2014-10-20 Jesse Read Jesse Read [f05eaa] minor speed improvement
 build_proposal.m 2014-10-20 Jesse Read Jesse Read [f05eaa] minor speed improvement
 checkInitPoints.m 2014-10-20 Jesse Read Jesse Read [48ad3d] Faster and more robust code
 eval_proposal.m 2014-10-20 Jesse Read Jesse Read [48ad3d] Faster and more robust code
 make_release.sh 2015-11-23 Jesse Read Jesse Read [398329] update for new release

Read Me

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.