Category
Bayesian statistics
Related lectures (180)
Bayesian Statistics: Hypothesis Testing and Estimation
Covers hypothesis testing, p-values, significance levels, and Bayesian estimation.
Monte Carlo: Optimization and Estimation
Explores optimization and estimation in Monte Carlo methods, emphasizing Bayes-optimal groups and estimators.
Partitioning Equilibrium
Covers partitioning equilibrium, sorption isotherms, and the role of natural organic matter in environmental chemistry.
Insurance Risk Modeling
Covers the modeling of insurance risk, discussing joint distributions and the impact of accidents.
Bayes' Theorem: Defective Parts Detection
Explores Bayes' Theorem for defective parts detection, discrete random variables, and distribution functions, with practical examples and exercises.
Exponential Family
Covers the properties of the exponential family and the estimation of parameters.
Gaussian Mixture Models: Data Classification
Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.
The Binomial Model
Covers the binomial model for asset pricing, including options pricing and convergence to the Black-Scholes model.
Expectation Maximization and Clustering
Covers the Expectation Maximization algorithm and clustering techniques, focusing on Gibbs Sampling and detailed balance.
Bayes Estimator: Definition and Application
Introduces the Bayes estimator, explaining its definition, application in quadratic cost scenarios, and importance in probabilistic reasoning.