Estimation of stellar parameters using Monte Carlo Markov Chains

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We apply Monte Carlo Markov Chain methods to the stellar parameter estimation problem. This technique is useful when dealing with non-linear models and allows to derive realistic error bars on the inferred parameters. We give the first results obtained for alpha Cen A.
3 pages, 1 figures, to appear in "Memorie della Societa' Astronomica Italiana", Vol. 79 No. 2, eds. S. Cassisi & M. Salaris. Proceedings of the Cefalu' 2007 Workshop "XXI Century challenges for stellar evolution", Cefalu' (Sicily, Italy), August 29 - September 2, 2007

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