Lectures related to Conditional random field

Graphical Models: Probability Distributions and Factor Graphs

Covers graphical models for probability distributions and factor graphs representation.

Introduces logistic regression for binary classification and explores multiclass classification using OvA and OvO strategies.

Mean Field Theory: Stochastic Analysis and Applications

Explores classical mean field theory, local interactions, and examples like individual-based SIR models and raindrop formation.

Replica and Symmetry Breaking

Explores the Nobel Prize-winning discovery of replica and cavity methods in complex systems, focusing on the random energy model and the application of probability theory.

Stochastic Analysis & Epidemic Containment Models

Delves into stochastic analysis, contract theory, and epidemic models, exploring uncertainties and interventions in epidemiology.

Theoretical Properties of Linear Regression Estimator

Covers the theoretical properties of the linear regression estimator, including the hat matrix and the Gauss-Markov theorem.