Big Data Analysis

Junwei Lu
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Junwei Lu: Harvard University

in Springer Books from Springer

Date: 2025
ISBN: 978-3-032-03161-7
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Chapters in this book:

Ch Chapter 1 Introduction

Junwei Lu

Ch Chapter 10 Statistical Properties of Lasso

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Ch Chapter 11 Variations of Lasso

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Ch Chapter 12 Convexity and Subgradient

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Ch Chapter 13 Gradient Descent

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Ch Chapter 14 Proximal Gradient Descent

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Ch Chapter 15 Mirror Descent

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Ch Chapter 16 Duality and ADMM

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Ch Chapter 17 High Dimensional Inference

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Ch Chapter 18 Debiased Lasso

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Ch Chapter 19 Multiple Hypotheses

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Ch Chapter 2 Preliminaries in Probability

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Ch Chapter 20 False Discovery Rate

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Ch Chapter 21 Knock-Off

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Ch Chapter 3 Preliminaries in Linear Algebra

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Ch Chapter 4 Concentration Inequalities

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Ch Chapter 5 Sub-exponential Random Variables

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Ch Chapter 6 Bernstein and Maximal Inequalities

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Ch Chapter 7 Ordinary Least Squares

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Ch Chapter 8 Compressive Sensing

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Ch Chapter 9 Restricted Isometry Property

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DOI: 10.1007/978-3-032-03161-7

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