Markov Chains: Recurrence and Transience

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (30)

Markov Chains Decomposition

Covers Markov chains decomposition, LLN proof, Inventory Model application, and average costs.

Derivatives and Limits: Generalization and Indeterminacy

Covers the generalization of the TAF theorem, lateral derivatives, limits of derivatives, and indeterminacy.

Stochastic Simulation: Theory of Markov Chains

Covers the theory of Markov chains, focusing on reversible chains and detailed balance.

Markov Chains: Theory and Applications

Covers the theory and applications of Markov chains in modeling random phenomena and decision-making under uncertainty.

Finite Differences: Definition and Proof

Covers the definition of the center of a function using finite differences and provides step-by-step proofs.

Modular Arithmetic: Inverses and Equations

Explores modular arithmetic, emphasizing inverses and equations in Z/mZ, with practical examples and exercises.

Hidden Markov Models: Primer

Introduces Hidden Markov Models, explaining the basic problems and algorithms like Forward-Backward, Viterbi, and Baum-Welch, with a focus on Expectation-Maximization.

Markov Chains and Algorithm Applications

Explores the application of Markov chains in algorithms and the theorems guaranteeing good representations.

Markov Chains and Algorithm Applications

Covers Markov chains and their applications in algorithms, focusing on Markov Chain Monte Carlo sampling and the Metropolis-Hastings algorithm.

Coq: Introduction

Introduces Coq, covering defining propositions, proving theorems, and using tactics.

Page 2 of 2