Markov Chains: Theory and Applications

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (41)

Estimating Relaxation Time: Variance and Chains Log in to Mediaspace to watch this video

Covers the estimation of relaxation time in chains and the importance of sample sizes.

Probability & Stochastic Processes Log in to Mediaspace to watch this video

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Markov Chain Monte Carlo Log in to Mediaspace to watch this video

Covers the Markov Chain Monte Carlo method and the Metropolis-Hastings algorithm for generating samples from a target probability distribution.

Markov Chains: Reversibility & Convergence Log in to Mediaspace to watch this video

Covers Markov chains, focusing on reversibility, convergence, ergodicity, and applications.

Applied Probability & Stochastic Processes Log in to Mediaspace to watch this video

Covers applied probability, Markov chains, and stochastic processes, including transition matrices, eigenvalues, and communication classes.

Stochastic Simulation: Variance Reduction Techniques Log in to Mediaspace to watch this video

Covers stochastic simulation and variance reduction techniques, focusing on Courra variate and auxiliary distribution generation.

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.

Markov Chain Monte Carlo: Rejection Sampling Log in to Mediaspace to watch this video

Explores rejection sampling for generating sample values from a target distribution, along with Bayesian inference using MCMC.

Air Pollution Analysis Log in to Mediaspace to watch this video

Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.

Markov Chains: Transition Densities Log in to Mediaspace to watch this video

Covers Markov processes, transition densities, and distribution conditional on information, discussing classification of states and stationary distributions.

Conditional Probability Log in to Mediaspace to watch this video

Covers conditional probability, probability distributions, and choosing the right distribution for specific scenarios.

Understanding ROC Curves Log in to Mediaspace to watch this video

Explores the ROC curve, True Positive Rate, False Positive Rate, and prediction probabilities in classification models.

Eigenvalue Problem Solution Log in to Mediaspace to watch this video

Focuses on finding eigenvalues and eigenvectors of a matrix, emphasizing attention to detail in linear algebra problems.

Linear Algebra: Systems of Linear Equations Log in to Mediaspace to watch this video

Introduces linear algebra concepts, focusing on solving systems of linear equations and their representations.

Linear Regression: Ozone Data Analysis Log in to Mediaspace to watch this video

Explores linear regression analysis of ozone data using statistical models.

Markov Chains: State Classification Log in to Mediaspace to watch this video

Covers the classification of states in discrete-time Markov chains.

Linear Algebra: Quantum Mechanics Log in to Mediaspace to watch this video

Explores the application of linear algebra in quantum mechanics, emphasizing vector spaces, Hilbert spaces, and the spectral theorem.

Maximum Likelihood Decision Log in to Mediaspace to watch this video

Explains decision by maximum likelihood and the use of logarithms.

Multivariate Random Variables Log in to Mediaspace to watch this video

Covers multivariate random variables, joint Gaussian variables, and convergence of random variables.

Untitled Log in to Mediaspace to watch this video

Page 2 of 3