R in Insurance Conference, London, 14 July 2014
[This article was first published on mages' blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Following the very positive feedback that Andreas and I have received from delegates of the first R in Insurance conference in July of this year, we are planning to repeat the event next year. We have already reserved a bigger auditorium. Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The second conference on R in Insurance will be held on Monday 14 July 2014 at Cass Business School in London, UK.
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 may include actuarial statistics, capital modelling, pricing, reserving, reinsurance and extreme events, portfolio allocation, advanced risk tools, high-performance computing, econometrics and more. All topics will be discussed within the context of using R as a primary tool for insurance risk management, analysis and modelling.
The intended audience of the conference includes both academics and practitioners who are active or interested in the applications of R in insurance.
Invited talks will be given by:
- Arthur Charpentier, Département de mathématiques Université du Québec à Montréal
- Montserrat Guillen, Dept. Econometrics University of Barcelona together with Leo Guelman, Royal Bank of Canada (RBC Insurance division)
Details about the registration and abstract submission process will be published soon on www.RinInsurance.com.
You can contact us via rinsuranceconference at gmail dot com.
The organisers, Andreas Tsanakas and Markus Gesmann, gratefully acknowledge the sponsorship of Mango Solutions, RStudio, Cybaea and PwC.
To leave a comment for the author, please follow the link and comment on their blog: mages' blog.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.