SDAT News
Modern Methods in Insurance Pricing and Industrial Statistics
"Modern Methods in Insurance Pricing and Industrial Statistics" conference will be Held in 3-5 September, 2017, Bu Ali Sina University, Hamedan, Iran. The purpose of the conference is to bring together young and senior academics and people working in insurance and other areas of industrial applications of statistics, and to strengthen the links between the respective communities in Iran and abroad.
For more information please visit Persian local website address: http://sdat.ir/mipis96
Or English Arhus University website address: http://thiele.au.dk/events/conferences/2017/modernmethods/
Emai: This email address is being protected from spambots. You need JavaScript enabled to view it.
Important Dates
- Deadline for abstract submission: June 22, 2017
- Notification of acceptance of abstracts: July 6, 2017
- Deadline for early registration and payment: July 22, 2017
Invited speakers
- Hansjörg Albrecher, University of Lausanne, Switzerland
- Søren Asmussen, Aarhus University, Denmark
- Alireza Edalati, Actuary at VHV Insurance AG, Germany
- Amin Hassanzadeh, Shahid Beheshti University, Iran
- David Rios Insua, Rey Juan Carlos University, Spain
- Gholamreza Nakhaeizadeh, Karlsruhe Institute of Technology, Germany
- Jens Perch Nielsen, CASS Business School, United Kingdom
- Amir Safari, Insurance Research Center, Iran
- Ali Shojaie, University of Washington
Short Courses
- "Introduction to Machine Learning with Industrial Applications" by Ali Shojaie. Date: 2nd September, 2017.
- "Insurance Ratemarking with GLM using SAS" by Alireza Edalati, Actuary at VHV Insurance AG, Germany. Date: 2nd September, 2017
- "Risk Management with Big Data and Applications in Industry" by David Rios Insua, Spain. Date: 4th September, 2017
For the short courses there will be a fee, which is kept as low as possible just to cover the expenses.
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SDAT is an abbreviation for Scientific Data Analysis Team. It consists of groups who are specialists in various fields of data sciences including Statistical Analytics, Business Analytics, Big Data Analytics and Health Analytics.
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