Abstract
This is a brief summary of review talks given at the Valencia Summer School on Data Analysis in Cosmology and the 2005 UK National Astronomical Meeting. We describe the following examples: galaxy classification with principle component analysis, photometric redshift estimation with artificial neural networks and multi-parameter estimation with Markov chain Monte Carlo in a Bayesian framework.
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Lahav, O. (2008). Data Compression, Classification and Parameter Estimation. Methods: Examples from Astronomy. In: Martinez, V., Saar, E., Gonzales, E., Pons-Borderia, M. (eds) Data Analysis in Cosmology. Lecture Notes in Physics, vol 665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44767-2_3
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DOI: https://doi.org/10.1007/978-3-540-44767-2_3
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