Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Nuclear Power Safety Concerns

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (35)

Maximum Likelihood, MSE, Fisher Information, Cramér-Rao Bound

Explains maximum likelihood estimation, MSE, Fisher information, and Cramér-Rao bound in statistical inference.

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.

Estimation and Confidence Intervals Log in to Mediaspace to watch this video

Explores parameter estimation, standard errors, and confidence intervals using the central limit theorem and practical examples.

Interval Estimation Log in to Mediaspace to watch this video

Covers the construction of confidence intervals for a normal distribution with unknown mean and variance.

Generalized Linear Models: A Brief Review Log in to Mediaspace to watch this video

Provides an overview of Generalized Linear Models, focusing on logistic and Poisson regression models, and their implementation in R.

Parameter Estimation Log in to Mediaspace to watch this video

Introduces statistical inference concepts, focusing on parameter estimation, unbiased estimators, and mean estimation using independent random variables.

Statistical Inference: Linear Models Log in to Mediaspace to watch this video

Explores statistical inference for linear models, covering model fitting, parameter estimation, and variance decomposition.

Optimality in Decision Theory: Unbiased Estimation Log in to Mediaspace to watch this video

Explores optimality in decision theory and unbiased estimation, emphasizing sufficiency, completeness, and lower bounds for risk.

Statistical Theory: Inference and Sufficiency Log in to Mediaspace to watch this video

Explores statistical inference, sufficiency, and completeness, emphasizing the importance of sufficient statistics and the role of complete statistics in data reduction.

Statistical Theory: Maximum Likelihood Estimation Log in to Mediaspace to watch this video

Explores the consistency and asymptotic properties of the Maximum Likelihood Estimator, including challenges in proving its consistency and constructing MLE-like estimators.

Regression: Simple and Multiple Linear Log in to Mediaspace to watch this video

Covers simple and multiple linear regression, including least squares estimation and model diagnostics.

Likelihood Inference Log in to Mediaspace to watch this video

Covers iterative weighted least squares, Poisson regression, mixed models, and likelihood ratio statistic.

Maximum Likelihood Estimation: Econometrics Log in to Mediaspace to watch this video

Introduces Maximum Likelihood Estimation in econometrics, covering principles, properties, applications, and specification tests.

Topic Models Log in to Mediaspace to watch this video

Introduces topic models, covering clustering, GMM, LDA, Dirichlet distribution, and variational inference.

Linear Models for Classification: Logistic Regression and SVM Log in to Mediaspace to watch this video

Covers linear models for classification, focusing on logistic regression and support vector machines.

Page 2 of 2