Titlebook: Sparse Estimation with Math and Python; 100 Exercises for Bu Joe Suzuki Textbook 2021 The Editor(s) (if applicable) and The Author(s), unde

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Generalized Linear Regression,In this chapter, we consider the so-called generalized linear regression, which includes logistic regression (binary and multiple cases), Poisson regression, and Cox regression.

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Fused Lasso,Fused Lasso is the problem of finding the . that minimize .given observations . and a constant ..

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Multivariate Analysis,In this chapter, we consider sparse estimation for the problems of multivariate analysis, such as principal component analysis and clustering .

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Joe SuzukiEquips readers with the logic required for machine learning and data science.Provides in-depth understanding of source programs.Written in an easy-to-follow and self-contained style

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Graphical Models,egarded as a variable, and edges express the dependency between them (conditional independence). In particular, assume a so-called sparse situation where the number of vertices is larger than the number of variables.