A Computational Approach to Statistical Learning

DOI10.1201/9781315171401zbMath1439.62003OpenAlexW2914928186MaRDI QIDQ3305005

Michael J. Kane, Bryan W. Lewis, Taylor B. Arnold

Publication date: 4 August 2020

Full work available at URL: https://doi.org/10.1201/9781315171401

zbMATH Keywords

ridge regressiongeneralized linear modelsspectral clusteringstatistical learningconvolutional neural networks (CNNs)

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Ridge regression; shrinkage estimators (Lasso) (62J07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12) Inference from stochastic processes and spectral analysis (62M15) Pattern recognition, speech recognition (68T10) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Neural nets and related approaches to inference from stochastic processes (62M45)

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