Statistical Models and Parameter Estimation

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (53)

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.

Expectation Maximization: Learning Parameters Log in to Mediaspace to watch this video

Covers the Expectation Maximization algorithm for learning parameters and dealing with unknown variables.

Untitled Log in to Mediaspace to watch this video

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

Covers the theory behind Maximum Likelihood Estimation, discussing properties and applications in binary choice and ordered multiresponse models.

Regression Trees and Ensemble Methods in Machine Learning Log in to Mediaspace to watch this video

Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Probability Fundamentals Log in to Mediaspace to watch this video

Introduces fundamental probability concepts, including events, complements, conditional probability, and random variables.

Equidistribution of CM Points Log in to Mediaspace to watch this video

Explores the joint equidistribution of CM points and their properties in ergodic theory and homogeneous dynamics.

Estimation Example: Least Square Estimation Log in to Mediaspace to watch this video

Covers the concept of least square estimation and its real-world applications.

Error Estimation in LHS Log in to Mediaspace to watch this video

Covers error estimation in Latin Hypercube Sampling, emphasizing the importance of accurate variance estimation.

Conditional Probability: Definition and Examples Log in to Mediaspace to watch this video

Explains the calculation of conditional probability with definitions and examples.

Data Analysis Techniques: Amplitude Shift Keying and Graphical Methods Log in to Mediaspace to watch this video

Covers amplitude shift keying and various data analysis techniques using Jupyter Notebooks.

Martingales and Brownian Motion: Leaving Intervals and Maximum Distribution Log in to Mediaspace to watch this video

Explores the average time for a Brownian motion to leave an interval and the maximum distribution.

Statistical Models: Sampling and Hypothesis Testing Log in to Mediaspace to watch this video

Explores statistical models, sampling distributions, and hypothesis testing using real-world examples.

Page 3 of 3