↓ Skip to main content
What is this page? Embed badge

Estimation and Testing Under Sparsity

Overview of attention for book
Cover of 'Estimation and Testing Under Sparsity'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
  3. Altmetric Badge
    Chapter 2 The Lasso
  4. Altmetric Badge
    Chapter 3 The Square-Root Lasso
  5. Altmetric Badge
    Chapter 4 The Bias of the Lasso and Worst Possible Sub-directions
  6. Altmetric Badge
    Chapter 5 Confidence Intervals Using the Lasso
  7. Altmetric Badge
    Chapter 6 Structured Sparsity
  8. Altmetric Badge
    Chapter 7 General Loss with Norm-Penalty
  9. Altmetric Badge
    Chapter 8 Empirical Process Theory for Dual Norms
  10. Altmetric Badge
    Chapter 9 Probability Inequalities for Matrices
  11. Altmetric Badge
    Chapter 10 Inequalities for the Centred Empirical Risk and Its Derivative
  12. Altmetric Badge
    Chapter 11 The Margin Condition
  13. Altmetric Badge
    Chapter 12 Some Worked-Out Examples
  14. Altmetric Badge
    Chapter 13 Brouwer’s Fixed Point Theorem and Sparsity
  15. Altmetric Badge
    Chapter 14 Asymptotically Linear Estimators of the Precision Matrix
  16. Altmetric Badge
    Chapter 15 Lower Bounds for Sparse Quadratic Forms
  17. Altmetric Badge
    Chapter 16 Symmetrization, Contraction and Concentration
  18. Altmetric Badge
    Chapter 17 Chaining Including Concentration
  19. Altmetric Badge
    Chapter 18 Metric Structure of Convex Hulls
Attention for Chapter 10: Inequalities for the Centred Empirical Risk and Its Derivative
Altmetric Badge

Citations

dimensions_citation
78 Dimensions
Summary Dimensions citations
So far, Dimensions has found 78 publications that cite this research output.

78

The most recent citing publications are shown below. View all 78 publications that cite this research output on Dimensions.

This page shows the most recent citations of this research output.

Click here to find out how to access more activity.

This page is provided by Altmetric.