Lectures related to Choice models with latent variables: Modeling latent concepts

Knowledge Tracing: Student Learning and Latent Variables

Explores Bayesian Knowledge Tracing and latent variables for tracing student knowledge and making predictions.

Variational Inference and Neural Networks

Covers variational inference and neural networks for classification tasks.

Factor Models: Latent Variables and Asset Pricing

Covers Factor Models, including PCA, asset pricing, factor investing, GMM, and Fama-McBeth estimation.

Topic Models: Understanding Latent Structures

Explores topic models, Gaussian mixture models, Latent Dirichlet Allocation, and variational inference in understanding latent structures within data.

Nonlinear Structural Analysis: Modelling Choices Impact on Simulation Results

Examines the impact of modelling choices on nonlinear simulation results in structural analysis.

Statistical Analysis of Networks: Link Prediction and Biclustering

Explores link prediction, logistic regression, causal inference, and biclustering in statistical network analysis.