Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Elements of Statistics: Memorylessness and Stationary Processes
Graph Chatbot
Related lectures (35)
Continuous-Time Stochastic Processes: Ergodicity Examples
Log in to Mediaspace to watch this video
Covers examples of ergodicity in continuous-time stochastic processes, illustrating concepts such as ergodicity and random processes.
Estimation and Linear Prediction - Part 2
Log in to Mediaspace to watch this video
Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.
Markov Chains: Ergodic Chains Examples
Log in to Mediaspace to watch this video
Covers stochastic models for communications, focusing on discrete-time Markov chains.
Stochastic Models for Communications
Log in to Mediaspace to watch this video
Covers stochastic models for communications and the estimation of correlation functions.
Statistical Theory: Cramér-Rao Bound & Hypothesis Testing
Log in to Mediaspace to watch this video
Explores the Cramér-Rao bound, hypothesis testing, and optimality in statistical theory.
Introduction to Quantum Chaos
Log in to Mediaspace to watch this video
Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.
Joint Equidistribution of CM Points
Log in to Mediaspace to watch this video
Covers the joint equidistribution of CM points and the ergodic decomposition theorem in compact abelian groups.
Yule Walker Equations: Efficient Implementation and Correlation Analysis
Log in to Mediaspace to watch this video
Explores Yule Walker equations for efficient implementation and correlation analysis in signal processing.
Statistical Theory: Inference and Optimality
Log in to Mediaspace to watch this video
Explores constructing confidence regions, inverting hypothesis tests, and the pivotal method, emphasizing the importance of likelihood methods in statistical inference.
Likelihood Ratio Tests: Optimality and Applications
Log in to Mediaspace to watch this video
Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.
Continuous-Time Markov Chains: Reversible Chains
Log in to Mediaspace to watch this video
Covers continuous-time Markov chains, focusing on reversible chains and their properties.
Chimpanzee Data Analysis
Log in to Mediaspace to watch this video
Covers the analysis of chimpanzee data on learning times and explores generalized linear models and logistic regression.
Modeling Neurobiological Signals: Markov Chains
Log in to Mediaspace to watch this video
Explores modeling neurobiological signals with Markov Chains, focusing on parameter estimation and data classification.
Point Processes: Convergence and Gaussian Processes
Log in to Mediaspace to watch this video
Covers point processes, convergence criteria, Laplace functionals, Gaussian processes, covariance functions, and intrinsic stationarity.
Modern Regression: Applications and Examples
Log in to Mediaspace to watch this video
Explores the EM algorithm, extreme-value distribution fitting, and seasonal decomposition in regression models.
Previous
Page 2 of 2
Next