BYNotes

Home

❯

Probability Theory

❯

Limit Theorems and Convergence

Limit Theorems and Convergence

May 25, 20261 min read

Convergence and limit theorem notes for understanding asymptotic behavior in statistical learning.

Notes

AreaNoteStatus
InequalityChebyshev Inequalitydraft
ConvergenceConvergence of Random Variablesdraft
Limit theoremCentral Limit Theoremdraft

Statistical Learning Use

  • Approximation of empirical averages.
  • Asymptotic behavior of estimators.
  • Probability bounds used in learning theory.

Related Modules

  • Distribution Theory
  • Statistical Inference
  • Statistical Learning Algorithms

3 items under this folder.

  • Jul 06, 2026

    Central Limit Theorem

    • course/probability-theory
    • topic/limit-theorems
    • topic/asymptotics
  • May 25, 2026

    Chebyshev Inequality

    • course/probability-theory
    • topic/limit-theorems
    • topic/concentration
  • Jul 06, 2026

    Convergence of Random Variables

    • course/probability-theory
    • topic/convergence
    • topic/limit-theorems

Created with Quartz v4.5.2 © 2026

  • Homepage
  • GitHub
  • RSS