Explores entropy, minimally sufficient statistics, exponential families, and Gaussian sampling distributions.
Discusses the Dirichlet distribution, Bayesian inference, posterior mean and variance, conjugate priors, and predictive distribution in the Dirichlet-Multinomial model.
Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.
Covers the properties of the exponential family and the estimation of parameters.
Explores the Exponential Family distribution, covering entropy, energy, and moments.
Covers inequalities, joint Gaussian distribution, risk estimation, and classification method testing in probability and statistics.
