Teaching material and evaluations available on demand. Past teaching activities available in my curriculum.
This page features courses taught at Université de Lorraine for the academic year 2024-2025.
Graduate courses belong to the Statistical Expertise for Economics and Finance master program.
Chapter 1bis: Mathematical preliminaries
Chapter 4: Clustering
Lectures are outdated (2023-2024 version)
Chapter 1: Statistical analysis of network data
Chapter 2: Mathematical foundations of supervised learning
Chapter 3: Numerical optimization, from theory to algorithms
Chapter 4: Proximity-based learning
Chapter 5: Linear models for prediction
Chapter 6: Kernel methods in statistical learning
Chapter 7: Tree-based methods and ensemble learning
Syllabus
Chapter 1: Macroeconomic impact of the digital transition
Chapter 2: Consumers and transaction costs
Chapter 3: Intermediation, matching and market design
Chapter 4: Platform strategies
Chapter 5: Data, pricing and auctions
Chapter 1: Perfect competition to monopolies
Chapter 2: Price discrimination
Chapter 3: Oligopolies revisited
Chapter 4: Differenciation
Chapter 5: Vertical relationships