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 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) 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.
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.
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".
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.Dr. Mahdi Salehi, an associate member of SDAT and assistant professor of statistics at the University of Neyshabur, introduced a useful online interactive dashboard that visualize and follows confirmed cases of COVID-19 in real-time. The dashboard was publicly made available on 6 April 2020 to illustrate the counts of confirmed cases, deaths, and recoveries of COVID-19 at the level of country or continent. This dashboard is intended as a user-friendly dashboard for researchers as well as the general public to track the COVID-19 pandemic, and is generated from trusted data sources and built-in open-source R software (Shiny in particular); ensuring a high sense of transparency and reproducibility.
Access the shiny dashboard: https://mahdisalehi.shinyapps.io/Covid19Dashboard/
Scientific Data Analysis Team (SDAT) intends to organize the first event on the value of data to provide data holders and data analyzers with an opportunity to extract maximum value from their data. This event is organized by International Statistical Institute (ISI) and SDAT hosted at the Bu-Ali Sina University, Hamedan, Iran.
Organizers and the data providers will provide more information about the goals of the initial ideas, team arrangement, competition processes, and the benefits of attending this event on a webinar hosted at the ISI Gotowebianr system. Everyone invites to participate in this webinar for free, but it is needed to register at the webinar system by 30 December 2020.
Event Time: 31 December 2020 - 13:30-16:30 Central European Time (CET)
Register for the webinar: https://register.gotowebinar.com/register/8913834636664974352
More details about this event: http://sdat.ir/en/playdata
Aims and outputs:
• Playing with real data by explorative and predictive data analysis techniques
• A platform between a limited number of data providers and hundreds to thousands of data scientist Teams
• Improving creativity and scientific reasoning of data scientist and statisticians
• Finding the possible “bugs” with the current data analysis methods and new developments
• Learn different views about a dataset.
AWARD-WINNING:
The best-report awards consist of a cash prize:
$400 for first place,
$200 for second place, and
$100 for third place.
Important Dates:
Event Webinar: 31 December 2020 - 13:30-16:30 Central European Time (CET).
Team Arrangement: 01 Jan. 2021 - 07 Jan. 2021
Competition: 10 Jan. 2021 - 15 Jan. 2021
First Assessment Result: 25 Jan. 2021
Selected Teams Webinar: 30 Jan. 2021
Award Ceremony: 31 Jan. 2021
Please share this event with your colleagues, students, and data analyzers.
The Developement of Structural and Functional Neuroimaging Symposium hold at the School of Sciences, Shiraz University in April 17 2019. The Advanced fMRI Data Analysis Workshop also held in April 18-19 2019. For more information please visit: http://sdat.ir/dns98
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.
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
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.
Address: No.15 13th West Street, North Sarrafan, Apt. No. 1 Saadat Abad- Tehran
Phone: +98-910-199-2800
Email: info@sdat.ir