SDAT News
SDAT News (24)
Releasing Rfssa Package by SDAT Members at CRAN
The Rfssa package is available at CRAN. Dr. Hossein Haghbin and Dr. Seyed Morteza Najibi (SDAT Members) have published this package to provide the collections of necessary functions to implement Functional Singular Spectrum Analysis (FSSA) for analysing Functional Time Series (FTS). FSSA is a novel non-parametric method to perform decomposition and reconstruction of FTS. For more information please visit github homepage of package.
Data Science Symposium
Symposium of Data Science Developement and its job opportunities hold at the Faculty of Science, Shiraz University in Feb 20 2019. For more information please visit: http://sdat.ir/dss97
http://sdat.ir/en/news/sdat-news#sigProId79b44f0f1e
Dr. Safavimanesh left SDAT
Unfortunately, one ouf our founder, Dr. Farzaneh Safavimanesh left us on Jan. 2019. We hope the best for her.
Basic SQL Workshop in SRTC
Aworkshop on Basic of SQL Programing will be held on Jan 28 2018 (Bahman 8, 1396) by Dr. Sayed Jamal Mirkamali, Platform Department Chair in Statistical Research and Traning Center, Tehran, Iran. Dr. Mirkamali is assitant professor of Statistics in Arak University. For more information, please take click on the following link:
Monte Carlo Workshop in Ferdousi University (Mashhad)
A two-day workshop on Monte Carlo Simulation ith R will be held on Feb. 14 - 15, 2018 (Bahman 25-26, 1396) by Dr. Mahdi Salehi, Resident Member of SDAT, and Dr. Vahid Fakoor in Fersousi University of Mashhad. Mahdi is assitant professor of Statistics in University of Neyshabur. For more information, please take contact us through 051-38806206.
R Workshops Series in Shiraz University
A Series of Workshops on R Statistical Software will be held by Scientific Data Analysis Team and Shiraz University in Department of Statistics, Shiraz University, Shiraz. For more information, please take a look at the workshops homepage on http://sdat.ir/RShiraz.
The 3rd Series of Workshops on Advanced Statistical Methods in Cognitive Sciences
The 3rd Series of Workshops on Advanced Statistical Methods in Cognitive Sciences will be held by Scientific Data Analysis Team and Neuroimagin Analysis Group at Imam Khomenini Hostpital, Medical Imaging Center. For more information, please take a look at the workshops homepage on http://sdat.ir/statcog96 or join the workshops Telegram group through https://t.me/StatCog.
Modern Method in Insurance Pricing and Industrial Statistics
The Conference on Modern Methods in Insurance Pricing and Industrial Statistics (MIPIS 2017) was held at the Bu-Ali Sina University in Hamedan, Iran, from September 3rd to September 5th, 2017.
This conference has been jointly organized by a team from Bu Ali Sina University, by Kristina Lurz, the former chair of y-BIS, the society of Young Business and Industrial Statisticians under ISBIS, and Professor Søren Asmussen from Aarhus University in Denmark.
R workshop in Monte Carlo Simulation
A two-day workshop on Monte Carlo Simulation ith R will be held on November 22 - 23, 2017 (Azar 1-2, 1396) by Dr. Mahdi Salehi, Resident Member of SDAT, in Fersousi University of Mashhad. Mahdi is assitant professor of Statistics in University of Neyshabur. For more information, please take contact us through 051-38806206.
Workshops on Statistical Methods in Cognitive Science (StatCog94)
A series of workshops will be held on Statistical Methods in Cognitieve Science. For more information, please take a look at the following page:
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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.
Workshop on Statistical Modeling of Actuarial Data
A two-day workshop on Statistical Modeling of Actuarial Data will be held on April 26 - 27, 2017 (Ordibehesht 6-7, 1396). For more information, please take a look at www.irsoa.ir or contact us through This email address is being protected from spambots. You need JavaScript enabled to view it..
Talk given by Dr. Rahim Mahmoudvand "Missing Data Imputation in Time Series Using Singular Spectrum Analysis ", Aberta University, Portugal
A Talk given by the Head of the SDAT Education Department at Lisbon, Portugal
A talk was given by the Head of the SDAT Education Department at the of the Statistics and its Aplications, Lisbon, Portugal under the title of "Bonus-Malus Systems: A Discussion of Some of the Problems".
A Bonus-Malus System (BMS) is one of the ratemaking methods generally used in automobile insurance. BMS penalizes policyholders at faults for one or more claims by a premium surcharge, known as malus, and rewards the policyholders with a claim-free year by granting discount in the premium say bonus. An optimal BMS should be possibly fair for policyholders and financially balanced for the insurer. While much progress has been made on the development of BMS but for practical applications, many questions remain, including the reliability and efficiency of the systems. To deal with system efficiency ‘rigorously’ an open portfolio assumption must be considered. The approximation techniques proposed for this purpose are largely at a conceptual stage. In this talk, we categorize the existing BMS and then discuss the challenges in both theory and practice.
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About Us
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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Address: No.15 13th West Street, North Sarrafan, Apt. No. 1 Saadat Abad- Tehran
Phone: +98-910-199-2800
Email: info@sdat.ir