Probability Theory A Comprehensive Course /

• Κύριος συγγραφέας: Klenke, Achim (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2008.
• Σειρά: Universitext
• Θέματα: Mathematics.; Probabilities.; Statistical physics.; Dynamical systems.; Statistics.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.; Statistical Physics, Dynamical Systems and Complexity.

Probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us to understand magnetism, amorphous media, genetic diversity and the perils of random developments on the financial markets, and they guide us in const...

Πίνακας περιεχομένων:

• 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 Itô Integral
• Stochastic Differential Equations.