October 6-7 2022, Online conference
Alicia Bassière fera partie du comité d’experts environnement du Groupe TF1
Félicitations à Alicia Bassière fera partie du comité d’experts environnement du Groupe TF1, créé pour aborder la transition écologique dans sa globalité.
HiPARIS Seminar with Masashi Sugiyama – Monday 26 September 2022
Hi! PARIS is pleased to propose an exceptional seminar of Masashi Sugiyama, RIKEN AIP / The University of Tokyo and member of the Scientific Advisory Board of Hi! PARIS. We are delighted to welcome Masashi Sugiyama for an exceptional seminar, entitled “Recent advances in robust machine learning”.
ILB CREST CLASS – Conference on Robustness and Privacy
The ILB CREST CLASS is a collaboration between the Institut Louis Bachelier and the CREST.
The first collection organised by Guillaume Lecué in March 2021 includes a series of videos about the Robustness and Privacy conference the National Institute for Mathematical Sciences and their Interactions (CNRS), and the Médiamétrie chair.
“An Introduction to Sequential Monte Carlo” win the DeGroot Prize
Nicolas Chopin and Omiros Papaspiliopoulos, the co-authors of the book “An Introduction to Sequential Monte Carlo”, have been awarded the 2021 DeGroot Prize.
The DeGroot Prize is awarded to the author or authors of a published book in Statistical Science. The Prize is named for Morris H. (“Morrie”) DeGroot, and recognizes the impact and importance of his work in Statistics and Decision Theory, and his marked influence on the evolution of the discipline over several decades through his personal scholarship, educational and professional leadership. The prize particularly recognizes DeGroot’s authorship and editorship of major books that had marked impact on the development of Statistics and Decision Theory, and the value he placed on the role of books generally. The Prize was proposed during the ISBA 2000 meeting in Crete, and established later that year.
Prize link:
https://bayesian.org/project/degroot-prize/
“An Introduction to Sequential Monte Carlo” Springer, 2020
Abstract:
Offers a general and gentle introduction to all aspects of particle filtering: the algorithms, their uses in different areas, their computer implementation in Python and the supporting theory. Covers both the basics and more advanced, cutting-edge developments, such as PMCMC (particle Markov chain Monte Carlo) and SQMC (Sequential quasi-Monte Carlo).
Comes with a freely available Python library (particles), which implements all the algorithms discussed in the book.
Each chapter ends with a “Python corner” that discusses how the methods covered can be implemented in Python.
Editor link:
https://link.springer.com/book/10.1007/978-3-030-47845-2
Personal websites:
Nicolas Chopin: https://nchopin.github.io/
Omiros Papaspiliopoulos: https://didattica.unibocconi.it/docenti/cv.php?rif=253596&cognome=PAPASPILIOPOULOS&nome=OMIROS
ICML 2022 – Tutorial by Anna Korba and Adil Salim
“Sampling as First-Order Optimization over a space of probability measures”
A presentation by Anna Korba and Adil Salim
International Conference on cyber insurance: September 12th, 2022
Caroline Hillairet and Olivier Lopez will present their research project “CyberRisk: actuarial modeling” at the “International Conference on cyber insurance” at Sorbonne Université
The closing conference of the Joint Research Initiative “Cyber risk: actuarial modeling” will gather professional and academic experts on cyber-risk and cyber-insurance. It will be the occasion to confront different viewpoints and to present new developments in the field of cyber risk evaluation.
Date: 12th September 2022. 9h – 18h.
Place: Auditorium, Campus Pierre et Marie Curie, 4 place Jussieu, 75005 Paris.
Event link:
https://sites.google.com/view/cyber-actuarial/conference-12092022
Registration:
https://framaforms.org/conference-cyber-risk-actuarial-modeling-1656589861
Research Project:
The research initiative “Cyber risk: actuarial modeling” has been supported by Fondation du Risque (Institut Louis Bachelier since 2017, AXA ResearchFund and AXA Risk Management Group since 2018). The aim of this project is to gather expertise to provide statistical methodologies that allow to better understand the economic impact of cyber risk, and contribute to the development of the cyber insurance sector. The research topics cover actuarial pricing models adapted to cyber, stochastic scenarios generation, systemic risk (oraccumulation risk). With this closing conference, the project enters a new phase, making the link between cyber and other emerging risks for which insurability is at stake (climate risk, pandemic, supply chain interruption…).
Brochure Link:
https://crest.science/wp-content/uploads/2022/09/09Sep2022_Workshop_Program_v5.pdf
Project Link:
https://axa-research.org/fr/projet/caroline-hillairet-olivier-lopez
Workshop on “Advances in alternative data and machine learning for macroeconomics and finance” – September 9, 2022
Organizers : Anna Simoni (CREST, ENSAE), Laurent Ferrara (SKEMA Business School)
@ Institut Louis Bachelier, Palais Brongniart, Paris
Table ronde John List IPP – CREST 07 septembre 2022
Suite à la présentation de John List, Professeur à l’Université de Chicago qui présentera son dernier ouvrage “The voltage effect”, l’IPP et le CREST organisent une table ronde intitulée “Évaluation des politiques publiques: quels futurs pour l’expertise économique?”
“Beware Convergence of SRI and Impact Investing”
An article in the Ivey Business Journal about the paper “The Motivations and Practices of Impact Assessment in Socially Responsible Investing: The French Case and its Implications for the Accounting and Impact Investing Communities” co-authored by Patrica Crifo , Diane-Laure Arjaliès, Pierre Chollet & Nicolas Mottis.