↓ Skip to main content

High Dimensional Probability VII

Overview of attention for book
Cover of 'High Dimensional Probability VII'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Stability of Cramer’s Characterization of Normal Laws in Information Distances
  3. Altmetric Badge
    Chapter 2 V.N. Sudakov’s Work on Expected Suprema of Gaussian Processes
  4. Altmetric Badge
    Chapter 3 Optimal Concentration of Information Content for Log-Concave Densities
  5. Altmetric Badge
    Chapter 4 Maximal Inequalities for Dependent Random Variables
  6. Altmetric Badge
    Chapter 5 On the Order of the Central Moments of the Length of the Longest Common Subsequences in Random Words
  7. Altmetric Badge
    Chapter 6 A Weighted Approximation Approach to the Study of the Empirical Wasserstein Distance
  8. Altmetric Badge
    Chapter 7 On the Product of Random Variables and Moments of Sums Under Dependence
  9. Altmetric Badge
    Chapter 8 The Expected Norm of a Sum of Independent Random Matrices: An Elementary Approach
  10. Altmetric Badge
    Chapter 9 Fechner’s Distribution and Connections to Skew Brownian Motion
  11. Altmetric Badge
    Chapter 10 Erdős-Rényi-Type Functional Limit Laws for Renewal Processes
  12. Altmetric Badge
    Chapter 11 Limit Theorems for Quantile and Depth Regions for Stochastic Processes
  13. Altmetric Badge
    Chapter 12 In Memory of Wenbo V. Li’s Contributions
  14. Altmetric Badge
    Chapter 13 Orlicz Integrability of Additive Functionals of Harris Ergodic Markov Chains
  15. Altmetric Badge
    Chapter 14 Bounds for Stochastic Processes on Product Index Spaces
  16. Altmetric Badge
    Chapter 15 Permanental Vectors and Selfdecomposability
  17. Altmetric Badge
    Chapter 16 Permanental Random Variables, M -Matrices and α -Permanents
  18. Altmetric Badge
    Chapter 17 Convergence in Law Implies Convergence in Total Variation for Polynomials in Independent Gaussian, Gamma or Beta Random Variables
  19. Altmetric Badge
    Chapter 18 Perturbation of Linear Forms of Singular Vectors Under Gaussian Noise
  20. Altmetric Badge
    Chapter 19 Optimal Kernel Selection for Density Estimation
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
4 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
High Dimensional Probability VII
Published by
Springer International Publishing, September 2016
DOI 10.1007/978-3-319-40519-3
ISBNs
978-3-31-940517-9, 978-3-31-940519-3
Editors

Houdré, Christian, Mason, David M., Reynaud-Bouret, Patricia, Rosiński, Jan

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 2 50%
Readers by discipline Count As %
Engineering 2 50%
Physics and Astronomy 1 25%
Mathematics 1 25%