Probability Theory

Author

John Robin Inston

Published

August 22, 2026

Modified

August 22, 2026

Topics

Foundations

Measure Theoretic Probability

Stochastic Processes

  • Stochastic Processes
  • Convergence Results:
    • Convergence of Stochastic Processes
    • Borel-Cantelli Lemma
    • \(L_p\) Spaces
    • Uniform Integrability
    • Skorohod’s Representation Theorem
    • Convergence Theorems:
      • Monotone Convergence Theorem
      • Dominated Convergence Theorem
    • Limit Theorems:
      • Law of Large Numbers
      • Central Limit Theorem
  • Large Deviations
  • Markov Chains
  • Branching Processes
    • Galton-Watson Process
  • Random Walks
  • Martingale Theory:
    • Filtrations & Adapted Processes
    • Martingales & Submartingales
    • Martingale Convergence Theorem
    • Optional Stopping Theorem
    • Doob’s Decomposition & Inequalities
  • Poisson Processes
  • Continuous-Time Markov Chains
    • Infiniteseimal Generator
    • Kolmogorov Forward & Backward Equations
    • Birth-Death Processes

Stochastic Calculus

  • Brownian Motion
  • Quadratic Variation
  • Ito Calculus
  • Stochastic Differential Equations
  • Common Stochastic Processes:
    • Ornstein-Uhlenbeck Process
    • Geometric Brownian Motion
    • Brownian Bridge
    • Cox-Ingersoll-Ross Process

Backlinks

Back to top