R in Insurance 2017
The fifth conference on R in Insurance will be held on 8 June 2017 at ENSAE. ENSAE is the Paris Graduate School for Economics, Statistics and Finance.
The intended audience of the conference includes both academics and practitioners who are active or interested in the applications of R in Insurance.
This one-day conference will focus again on applications in insurance and actuarial science that use R, the lingua franca for statistical computation. Topics covered are:
- the use of R in a production environment
- life insurance
- non-life insurance
All topics will be discussed within the context of using R as a primary tool for insurance risk management, analysis and modelling.
Programs of previous editions are available online: 2013, 2014, 2015 and 2016. To learn more about past events, please visit the associated web page.
Attendance of the whole conference is the equivalent of 6.5 hours of CPD for members of the UK Actuarial ProfessionRegistrations
Registrations on the conference website are opened and will be finalized in 2017 when participants will pay the registration fees. The registration’s fee will be:
- Professional: 250 euros with the conference’s dinner (150 euros without dinner)
- Academic: 100 euros with the conference’s dinner (20 euros without dinner).
Keynote speakers
We are pleased to announce that our keynote speakers are:
Venue
The conference will take place at ENSAE, 3 Avenue Pierre Larousse, 92240 Malakoff close to Paris.Committees
Conference committee:
You can reach the conference committe via [email protected].
The scientific committee consists of:
Sponsors
The organisers gratefully acknowledge the following sponsors
Institutional sponsors:Citation
For attribution, please cite this work as:Markus Gesmann (Dec 13, 2016) R in Insurance 2017. Retrieved from https://magesblog.com/post/2016-12-13-r-in-insurance-2017/
@misc{ 2016-r-in-insurance-2017,
author = { Markus Gesmann },
title = { R in Insurance 2017 },
url = { https://magesblog.com/post/2016-12-13-r-in-insurance-2017/ },
year = { 2016 }
updated = { Dec 13, 2016 }
}