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

Home

Lecture

Modern Regression: Inference and Models

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (33)

Multilevel Models: Part 2 Log in to Mediaspace to watch this video

Explores advanced techniques in multilevel modeling, including fitting separate models, estimating coefficients, and checking residuals for model evaluation.

Nonlinear Machine Learning: k-Nearest Neighbors and Feature Expansion Log in to Mediaspace to watch this video

Covers the transition from linear to nonlinear models, focusing on k-NN and feature expansion techniques.

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.

Linear Regression: Basics and Estimation Log in to Mediaspace to watch this video

Covers the basics of linear regression and how to solve estimation problems using least squares and matrix notation.

Basics of Linear Regression Log in to Mediaspace to watch this video

Covers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.

Linear and Weighted Regression: Optimal Parameters and Local Solutions Log in to Mediaspace to watch this video

Covers linear and weighted regression, optimal parameters, local solutions, SVR application, and regression techniques' sensitivity.

Modern Regression: Statistical Models and Data Analysis Log in to Mediaspace to watch this video

Introduces regression analysis, covering linear and nonlinear models, Poisson regression, and failure time analysis using various datasets.

Inference: Model Checking Log in to Mediaspace to watch this video

Covers iterative weighted least squares, generalized linear models, and model checking.

Basics of linear regression model Log in to Mediaspace to watch this video

Covers the basics of linear regression, OLS method, predicted values, residuals, matrix notation, goodness-of-fit, hypothesis testing, and confidence intervals.

Likelihood Inference Log in to Mediaspace to watch this video

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

Linear Regression: Ozone Data Analysis Log in to Mediaspace to watch this video

Explores linear regression analysis of ozone data using statistical models.

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.

Autocorrelation and Instrumental Variables Log in to Mediaspace to watch this video

Explores autocorrelation, instrumental variables, and challenges in regression analysis.

Page 2 of 2