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Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
The Lasso Method for Sparse Data Analysis - Unlock the Power of Sparsity in Your Datasets! π Are you tired of dealing with high-dimensional data that's too complex to analyze? Look no further than The Lasso Method for Sparse Data Analysis! π This comprehensive guide covers everything you need to know to exploit the power of sparsity in your datasets, from linear regression to generalized linear models and support vector machines.
π‘ With expert insights from top experts in the field, you'll learn how to: β¨ Estimate and interpret sparse statistical models with ease β¨ Apply β1 penalties to generalized linear models and support vector machines β¨ Use coordinate descent algorithms for efficient computation β¨ Perform statistical inference methods for fitted (lasso) models, including the bootstrap, Bayesian methods, and recently developed approaches And that's not all! You'll also discover matrix decomposition, sparse multivariate analysis, graphical models, and compressed sensing techniques to help you tackle even the biggest datasets.
πͺ Don't let high-dimensional data hold you back any longer.
Unlock the power of sparsity with The Lasso Method for Sparse Data Analysis! Order now and start analyzing your datasets like a pro! π
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