Markov Chains: Transience & Recurrence

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (35)

Law of Large Numbers: Strong Convergence Log in to Mediaspace to watch this video

Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.

Probability and Statistics Log in to Mediaspace to watch this video

Explores joint random variables, conditional density, and independence in probability and statistics.

Normal Distribution: Properties and Calculations Log in to Mediaspace to watch this video

Covers the normal distribution, including its properties and calculations.

Central Limit Theorem: Properties and Applications Log in to Mediaspace to watch this video

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Probability Distributions in Environmental Studies Log in to Mediaspace to watch this video

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Elements of Statistics: Probability and Random Variables Log in to Mediaspace to watch this video

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Statistical Theory: Fundamentals Log in to Mediaspace to watch this video

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Stochastic Models for Communications Log in to Mediaspace to watch this video

Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.

Causal Systems & Transforms: Delay Operator Interpretation Log in to Mediaspace to watch this video

Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.

Conditional Density and Expectation Log in to Mediaspace to watch this video

Explores conditional density, expectations, and independence of random variables with practical examples.

Probability Theory: Basics Log in to Mediaspace to watch this video

Introduces the basics of probability theory, covering events, intersections, unions, and sample space.

Continuous-Time Stochastic Processes: Ergodicism Examples Log in to Mediaspace to watch this video

Introduces continuous-time stochastic processes and provides examples illustrating ergodicism.

Probability and Statistics Log in to Mediaspace to watch this video

Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.

Metropolis Hastings Algorithm: Markov Chains and Transition Matrix Log in to Mediaspace to watch this video

Covers the Metropolis Hastings algorithm and constructing Markov chains with proposal distributions for convergence.

Graphs and Probabilities Log in to Mediaspace to watch this video

Explores the connection between graphs and probabilities, emphasizing modular and super modular probabilities and correlation properties.

Page 2 of 2