Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Instrumental Variables: Addressing Measurement Error and Reverse Causality
Graph Chatbot
Related lectures (32)
Previous
Page 3 of 4
Next
Regression: Simple and Multiple Linear
Covers simple and multiple linear regression, including least squares estimation and model diagnostics.
House Price Regressions: Exploring OLS Assumptions
Explores OLS regressions for house prices, covering outliers, influential observations, model specification, and selection strategies.
Supervised Learning in Financial Econometrics
Explores supervised learning in financial econometrics, covering linear regression, model fitting, potential problems, basis functions, subset selection, cross-validation, regularization, and random forests.
Regression: Linear Models
Explores linear regression, least squares, residuals, and confidence intervals in regression models.
Understanding Data Attributes
Covers the analysis of various data attributes and linear regression models.
Linear Regression: Least Squares
Delves into linear regression, emphasizing least squares estimation, residuals, and variance.
Applied Biostatistics: Bivariate Data and Regression Analysis
Covers bivariate data analysis, correlation, and regression techniques, including interpretation of coefficients and least squares geometry.
Linear Regression Basics
Introduces the basics of linear regression, covering OLS approach, residuals, hat matrix, and Gauss-Markov assumptions.
Weighted Least Squares Estimation: IRLS Algorithm
Explores the IRLS algorithm for weighted least squares estimation in GLM.
Regression Trees and Ensemble Methods in Machine Learning
Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.