Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Ergodic Theorem: Proof and Applications
Graph Chatbot
Related lectures (30)
Previous
Page 2 of 3
Next
Markov Chains: PageRank Algorithm
Explores the PageRank algorithm within Markov chains, emphasizing ergodicity and convergence for web page ranking.
Stochastic Simulation: Theory of Markov Chains
Covers the theory of Markov chains, focusing on reversible chains and detailed balance.
A Conjecture of Erdös: Proof by Moreira, Richter and Robertson
Presents a short proof of a conjecture by Erdös, exploring related questions and detailed proof of the proposition.
Theory of MCMC
Covers the theory of Markov Chain Monte Carlo (MCMC) sampling and discusses convergence conditions, transition matrix choice, and target distribution evolution.
Limiting Distribution and Ergodic Theorem
Explores limiting distribution in Markov chains and the implications of ergodicity and aperiodicity on stationary distributions.
Markov Chains: Applications and Coupled Chains
Covers Markov chains, coupled chains, and their applications, emphasizing the importance of irreducibility.
Continuous-Time Markov Chains: Reversible Chains
Covers continuous-time Markov chains, focusing on reversible chains and their properties.
Continuous-Time Markov Chains: Reversible Chains
Covers reversible continuous-time Markov chains and their properties.
Continuous-Time Markov Chains: Reversible Chains
Covers Mod.7 on continuous-time Markov chains, focusing on reversible chains and their applications in communication systems.
Ergodic Theory: Markov Chains
Explores ergodic theory in Markov chains, discussing irreducibility and unique stationary distributions.
