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Least-angle regression / Elastic net regularization / Least squares / Regularization / Stepwise regression / Compressed sensing / Tikhonov regularization / Degrees of freedom / Additive model / Statistics / Regression analysis / Linear regression


42 In praise of sparsity and convexity Robert J. Tibshirani Department of Statistics, Stanford, CA To celebrate the 50th anniversary of COPSS, I discuss some examples of exciting developments of sparsity and convexity,
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Document Date: 2013-12-13 12:42:42

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Madrid / Trendafilov / Springer / Roeder / L.A. / /

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the New York Times / Cox / Google / /

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United States / Spain / /

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Stanford University / /

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least squares solution / Spectral regularization algorithms / lasso yield sparse solutions / regression software / final solution / /

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Linux / /

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Royal Statistical Society / International Congress / American Statistical Association / Stanford University / Robert J. Tibshirani Department of Statistics / Statistics Department / Stanford / /

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Hal Varian / Jerome Friedman / Robert J. Tibshirani / Lin / Larry Wasserman / Yuan / Trevor Hastie / Noah Simon / /

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statistician / Chief Economist / proportional hazards model for survival data / pathologist / Forward / /

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New York / Northern Territory / /

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the New York Times / Journal of the Royal Statistical Society / Journal of Machine Learning Research / Journal of the American Statistical Association / Journal of Statistical Software / /

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Stanford University / /

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Linux / Data Mining / machine learning / Spectral regularization algorithms / /

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