Free Access
Volume 549, January 2013
Article Number A21
Number of page(s) 11
Section Numerical methods and codes
Published online 10 December 2012
  1. Boone, F., Muders, D., Schilke, P., et al. 2006, Astronomical Data Analysis Software and Systems XV, ASP Conf. Ser. 351, Proceedings of the Conference Held 2–5 October 2005 in San Lorenzo de El Escorial, Spain, eds. C. Gabriel, C. Arviset, D. Ponz, & E. Solano (San Francisco: ASP), 577 [Google Scholar]
  2. Diaconis, P. 2009, Bull. Amer. Math. Soc., 46, 179 [CrossRef] [Google Scholar]
  3. Fan, S.-K. S., & Zahara, E. 2007, J. Oper. Res., 181, 527 [Google Scholar]
  4. Feroz, F., & Hobson, M. P. 2008, MNRAS, 384, 449 [NASA ADS] [CrossRef] [Google Scholar]
  5. Garbow, B., Lozano, M., Verdegay, J. L., et al. 1980, MINPACK, in, Argonne National Lab. [Google Scholar]
  6. Gilks, W. R., Richardson, S., & Spiegelhalter, D. 1996, Markov Chain Monte Carlo in Practice (London: Chapman and Hall) [Google Scholar]
  7. Herrera, F., Lozano, M., Verdegay, J. L., et al. 1998, Artif. Intellig. Rev., 12, 265 [CrossRef] [Google Scholar]
  8. Herrera, F., Lozano, M., Sanchez, A. M., et al. 2005, Soft Comput., 9, 280 [CrossRef] [Google Scholar]
  9. Ichida, K., & Fujii, Y. 1979, Computing, 23, 85 [CrossRef] [Google Scholar]
  10. Jaynes, E. T. 1976, Confidence Intervals vs Bayesian Intervals, in Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science, eds. W. L. Harper, & C. A. Hooker (Dordrecht: D. Reidel), 175 [Google Scholar]
  11. Kennedy, J., & Eberhart, R. 1995, Proc. IEEE Int. Conf. Neural Networks, IV., 1942 [Google Scholar]
  12. Krawczyk, R. 1985, Computing, 34, 243 [CrossRef] [Google Scholar]
  13. Marquardt, D. W. 1963, J. Soc. Indust. Appl. Math., II, 2 [Google Scholar]
  14. Müller, H. S. P., Thorwirth, S., Roth, D. A., & Winnewisser, G. 2001, A&A, 370, L49 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Müller, H. S. P., Schlöder, F., Stutzki, J., & Winnewisser, G. 2005, J. Mol. Struct., 742, 215 [NASA ADS] [CrossRef] [Google Scholar]
  16. Nelder, J. A., & Mead, R. 1965, Comp. J., 7, 308 [Google Scholar]
  17. Nocedal, J., & Wright, S. 2006, Numerical Optimization, 2nd edition (Springer) [Google Scholar]
  18. Pham, D. T., Ghanbarzadeh, A., Koc, E., et al. 2005, Manufacturing Engineering Centre, Cardiff University, UK [Google Scholar]
  19. Pickett, H. M., Poynter, R. L., Cohen, E. A., et al. 1998, J. Quant. Spectrosc. Radiat. Trans., 60, 883 [Google Scholar]
  20. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. 2007, Numerical Recipes: The Art of Scientific Computing, 3rd edition (Cambridge University Press) [Google Scholar]
  21. Schilke, P., Comito, C., Müller, H. S. P., et al. 2010, A&A, 521, L11 [Google Scholar]
  22. Sivia, D., & Skilling, J. 2006, Data Analysis: A Bayesian Tutorial (Oxford University Press) [Google Scholar]
  23. Skilling, J. 2006, Bayesian Anal., 1, 833 [CrossRef] [MathSciNet] [Google Scholar]
  24. Skilling, J., & MacKay, D. 2012, [Google Scholar]
  25. Whitley, D. 1994, Statist. Comp., 4, 65 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.