Lectures related to Modelling Dependence Among X's

Elements of Statistics: Probability, Distributions, and Estimation Log in to Mediaspace to watch this video

Covers probability theory, distributions, and estimation in statistics, emphasizing accuracy, precision, and resolution of measurements.

The Stein Phenomenon and Superefficiency Log in to Mediaspace to watch this video

Explores the Stein Phenomenon, showcasing the benefits of bias in high-dimensional statistics and the superiority of the James-Stein Estimator over the Maximum Likelihood Estimator.

Linear Regression: Model Adjustment and Parameter Estimation Log in to Mediaspace to watch this video

Explains the decomposition of total sum of squares, model adjustment, and parameter estimation in linear regression.

Bayes Estimator, Simulated Annealing and EM Log in to Mediaspace to watch this video

Covers Bayes estimator, Simulated Annealing, and EM for parameter estimation.