Probability Theory A Comprehensive Course /

Show other versions (1)

This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorpho...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Klenke, Achim (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: London : Springer London : Imprint: Springer, 2014.
Edition:2nd ed. 2014.
Series:Universitext,
Subjects:
Probabilities.
Measure theory.
Dynamical systems.
Functional analysis.
System theory.
Mathematical physics.
Probability Theory.
Measure and Integration.
Dynamical Systems.
Functional Analysis.
Complex Systems.
Theoretical, Mathematical and Computational Physics.
Online Access:Texto Completo
Table of Contents:
  • Basic Measure Theory
  • Independence
  • Generating Functions
  • The Integral
  • Moments and Laws of Large Numbers
  • Convergence Theorems
  • Lp-Spaces and the Radon-Nikodym Theorem
  • Conditional Expectations
  • Martingales
  • Optional Sampling Theorems
  • Martingale Convergence Theorems and Their Applications
  • Backwards Martingales and Exchangeability
  • Convergence of Measures
  • Probability Measures on Product Spaces
  • Characteristic Functions and the Central Limit Theorem
  • Infinitely Divisible Distributions
  • Markov Chains
  • Convergence of Markov Chains
  • Markov Chains and Electrical Networks
  • Ergodic Theory
  • Brownian Motion
  • Law of the Iterated Logarithm
  • Large Deviations
  • The Poisson Point Process
  • The Itˆo Integral
  • Stochastic Differential Equations.

Similar Items