Sparse Regression Analysis

Kohei Adachi ()
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Kohei Adachi: Osaka University, Graduate School of Human Sciences

Chapter Chapter 21 in Matrix-Based Introduction to Multivariate Data Analysis, 2020, pp 341-359 from Springer

Abstract: Abstract A matrix or vectorVector is said to be sparse whenRegression analysis it includes a number of zero elementsElement. Hence, the term sparse estimationSparse estimation refers to estimating a number of parametersNumber of parameters as zeros. The developments in multivariate analysis procedures with sparse estimationSparse estimation started from modifications to the multiple regression analysisMultiple regression analysis introduced in Chap. 4 .

Date: 2020
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DOI: 10.1007/978-981-15-4103-2_21

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