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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.
R: Data Management Calculations and Statistical Analysis Book
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.
Workshops on Structural Equation Modeling (SEM)
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.
Symposium on the Structural and Functional Brain Image Analysis in Clinical and Research Applications
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.
The third Movement of Workshops on Advanced Statistical Methods in Cognitive Sciences
A Talk by the SDAT Head at the Specialized Meeting on Data Mining
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".
MRS, Diffusion, Perfusion Workshop
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.Movement 2 of StatCog Workshop
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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A Talk by the Head of the SDAT Research Department at The 17th Applied Stochastic Process Workshop
The 17th Applied Stochastic Process workshop was held at the Esfahan University of Technology on 1-3 Nov 2016. Dr. Farzaneh Safavimanesh, the head of the SDAT Research Department, gave a talk at the seminar. Invited lecturers of this workshop were as follows.
- Professor John Nolan- American University
- Professor Rahoul ROy- Indian Statististical Institute
- Professor Bizhan Zohori Zangene- Sharif University of Technology
- Professor Ahmad Reza Soltani- Shiraz University
- Dr. Miromid Haji Mirsadeghi - Sharif University of Technology
- Dr. Kasra Alishahi- Sharif University of Technology
- Dr. Farzaneh Safavimanesh- Shahid Beheshti University (SDAT memeber)
For more information please see www.workshopstochastics.com
Movement 1 of StatCog Workshop
The first Movement of advanced statistical method in Cognitive Science workshop series held at Shahid Behehshti University on 26-27 October and 9-10 November 2016.
The first series of the workshops on Advanced Statistical Methods in Cognitive Sciences
The first series of the workshops on Advanced Statistical Methods in Cognitive Sciences (StatCog) will be held in three parts on November, December 2016 and January 2017 at the Institute for Cognitive and Brain Sciences.
For more information and registration refer to work shop website
Review A Course in Statistics with R by Tattar P.N. et. al
Integrates the theory and applications of statistics using R. A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation. Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated statistical models.
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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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