Abstract
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2.1. Estimating a conditional distribution
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2.2. Least square regression
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2.3. Pattern recognition
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2.3.1. Prediction from classification trees
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2.3.2. Noisy non ambiguous classification
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2.3.3. Non randomized classification rules
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© 2004 Springer-Verlag Berlin/Heidelberg
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Catoni, O. (2004). 2. Links between data compression and statistical estimation. In: Picard, J. (eds) Statistical Learning Theory and Stochastic Optimization. Lecture Notes in Mathematics, vol 1851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44507-4_3
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DOI: https://doi.org/10.1007/978-3-540-44507-4_3
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