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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.

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In this talk, we introduce several algorithms using singular spectrum analysis for gap filling in univariate time series. In these algorithms, the data before missing values and the data after (in the reverse order) missing values treated as two separate time series. Then using SSA forecasting, two estimations of the missing values will be provided. Finally, we combine these estimations and produce a unique estimation for missing values.
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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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R: Data Management Calculations and Statistical Analysis Book has been published by Dr. Javad Fardmal, associate professor of biostatistics at Hamedan university of Biomedical Sciences and Dr. Rahim Mahmoudvand, assistant professor of statisitcs at Hamedan University. This book is in Persian and contains various topics in scientific data analysis with R. The table of content is available form here and you can buy the book from here

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Workshops on Structural Equation Modeling (SEM) will be held on February 16-17, 2017 (Bahman 28-29, 1395). Dr. Mahdi Akbarzadeh, SDAT associate memebr, will be the main lecturere of the workshops. For more information, please take a look at www.mft.info/en or join the Telegram channel http://t.me/semteach

 

 

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A Symposium on the Structural and Functional Brain Image Analysis in Clinical and Research Applications hold on February 28, March 1 2017 (Esfand 10,11 1395) in Bushehr, Iran.  Dr. Mohammad Ali Oghabian, the faculty memebr at Tehran University of Medical Sciences (TUMS) and the head of the Neuroimaging and Analysis Group at TUMS, Dr. Amir Hossein Batouli, Dr. Arash Zare Sadeghi and Dr. Seyed Morteza Najibi, Head of Scientific Data Analysis Team (SDAT) presented their talks in this Symposium and a workshop in fMRI neuro-imaging. 

 

 

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The 3rd Movement of Workshops on Advanced Statistical Methods in Cognitive Sciences is held on February 8, 9, 15, 16, 2017 at The Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran. For more information, please take a look at the workshops homepage on http://sdat.ir/statcog95/ or join the workshops Telegram group through https://t.me/StatCog.
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An specialized meeting on Data mining application in Healthcare Systems was held at  Healthcare Insurance Organization in Busheher on December 6, 2016. In this meeting, Dr. Seyed Morteza Najibi, the SDAT Leader, gave a talk under the title of "Knowledge Discovery in Healthcare Systems Using Modern Statistics".

Thursday, 02 February 2017 11:36

MRS, Diffusion, Perfusion Workshop

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Wokshops on Magnetic Resonance Spectrocopy, Perfusion and Diffusion is held on February 15-17, 1395 (Bahman 27-29, 2017). For more information, please visit the workshops homepage on http://niag.ir/worksops/winter2017/ or the Telegram channel 

https://t.me/NIAGg.
Wednesday, 30 November 2016 15:32

Movement 2 of StatCog Workshop

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The first week of the second Movement of advanced statistical method in Cognitive Science workshop series held at Shahid Behehshti University on  22-23 November 2016. 

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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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