Due to Covid-19, this research school could not take place in residence, as originally intended.
RESEARCH SCHOOL - ECOLE DE RECHERCHE
Quasi-Monte Carlo Methods and Applications
Méthodes quasi Monte-Carlo et applications
Dates: 2-6 November 2021
KEY WORDS
Risk Modeling, Computational Finance, Simulation Techniques
DESCRIPTION
The focus lies on applications in numerical integration, risk modelling, computational finance, simulation techniques, and computational geometry.

Speakers will introduce basic terminology and methods and then discuss fundamental applications.

The research school is open to advanced master students in mathematics, statistics, and computer science as well as to PhD students.
SCIENTIFIC COMMITTEE
ORGANIZING COMMITTEE
PRE-RECORDED MINI COURSES
​Quasi-Monte Carlo Methods and Applications: Introduction - VIDEO

​Optimizing dividends and capital injections limited by bankrupcy, and practical approximations for the Cramér-Lundberg process - VIDEO
​Two concrete FinTech applications of QMC - VIDEO​Brief Introduction of Quasi-Monte Carlo Methods and their applications - VIDEO
​Stochastic Differential Equation - VIDEO
​Number sequences for simulation (Part 1) - VIDEO
​Number sequences for simulation (Part 2) - VIDEO
​Derivative pricing: simulation from non-uniform distributions - VIDEO

​PDMPs in risk theory and QMC integration
​Part 1: Risk theory: models and objectives - VIDEO
​Part 2: PDMPs and Integrals - VIDEO
​Part 3: Two case studies - VIDEO
LIVE TALKS & DISCUSSION SESSIONS
​​The coordinate sampler: a non-reversible Gibbs-like MCMC sampler - VIDEO

Probabilistic models for selfish blockchain mining​​ - (NB: There is no recording of this talk.)
 On the estimation of conditional quantiles (Part 1) - VIDEO
On the estimation of conditional quantiles (Part 2) - VIDEO
On the estimation of conditional quantiles (Part 3)- VIDEO