Sold Out
Book Categories |
Foreword, Michel Ledoux
1. Introduction
2. Basic inequalities
3. Bounding the variance
4. Basic information inequalities
5. Logarithmic Sobolev inequalities
6. The entropy method
7. Concentration and isoperimetry
8. The transportation method
9. Influences and threshold phenomena
10. Isoperimetry on the hypercube and Gaussian spaces
11. The variance of suprema of empirical processes
12. Suprema of empirical processes: exponential inequalities
13. The expected value of suprema of empirical processes
14. Φ -entropies
15. Moment inequalities
Login|Complaints|Blog|Games|Digital Media|Souls|Obituary|Contact Us|FAQ
CAN'T FIND WHAT YOU'RE LOOKING FOR? CLICK HERE!!! X
You must be logged in to add to WishlistX
This item is in your Wish ListX
This item is in your CollectionConcentration Inequalities: A Nonasymptotic Theory of Independence
X
This Item is in Your InventoryConcentration Inequalities: A Nonasymptotic Theory of Independence
X
You must be logged in to review the productsX
X
X
Add Concentration Inequalities: A Nonasymptotic Theory of Independence, Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statist, Concentration Inequalities: A Nonasymptotic Theory of Independence to the inventory that you are selling on WonderClubX
X
Add Concentration Inequalities: A Nonasymptotic Theory of Independence, Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statist, Concentration Inequalities: A Nonasymptotic Theory of Independence to your collection on WonderClub |