Basic Information
1. Convergence Concepts - Convergence in Probability, Almost Sure Convergence, Weak Convergence For Probability Measures And Sub-probability Measures. 2. Kolmogorov's Three Series Theorem, The Law of Large Numbers, Applications. 3. Markov Chains. 4. Ergodic Theory.
Faculty: Mathematics
|Undergraduate Studies
|Graduate Studies
Pre-required courses
(104165 - Real Functions and 104222 - Probability Theory) or 106378 - Measure Theory
Related Books
- A Graduate Course in Probability. - Howard G. Tucker
- Probability [electronic resource] : theory and examples - Durrett, Richard
- Probability [electronic resource] : theory and examples / Rick Durrett. - Durrett, Richard
- Probability : theory and examples - Durrett, Richard
- Probability : theory and examples - Durrett, Richard
- Probability : theory and examples - Durrett, Richard,
- Probability : theory and examples / Richard Durrett. - Durrett, Richard
- Probability : theory and examples / Richard Durrett. - Durrett, Richard
- Probability : theory and examples / Richard Durrett. - Durrett, Richard
- Probability : theory and examples / Rick Durrett. - Durrett, Richard
- Probability and measure - Billingsley, Patrick
- Probability and measure. - Billingsley, Patrick
- Probability with martingales - Williams, D.
- Probability with martingales / David Williams. - Williams, D.
- Probability [electronic resource] : theory and examples - Durrett, Richard,
- Probability [electronic resource] : theory and examples / Rick Durrett. - Durrett, Richard,