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International Conference on Robust Statistics (ICORS 2013)

Added by gshevlyakov on 2013-03-20

Conference Dates:

Start Date Start Date: 2013-07-08
Last Date Last Day: 2013-07-12
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2013-04-30

Conference Contact Info:

Contact Person Contact Person: Ekaterina Balashova
Email Email: ICORS-2013@onlinereg.ru
Address Address: Sokos Hotel Olympia Garden, St. Petersburg, Russia
Phone Tel: +7 (812) 335 20 55 ext.452
Phone Fax: +7 (812) 335 20 39

Conference Description:

The International Conference on Robust Statistics (ICORS) has been an annual international conference since 2001. The aim of the conferences is to bring together researchers interested in robust statistics, data analysis and related areas. This includes theoretical and applied statisticians as well as data analysts from other fields, and leading experts as well as junior researchers and graduate students.

The ICORS meetings create a forum to discuss recent progress and emerging ideas in statistics and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.

The previous ICORS meetings were held in Vorau, Austria (2001), Vancouver, Canada (2002), Antwerp, Belgium (2003), Beijing, China (2004), Jyväskylä, Finland (2005), Lisbon, Portugal (2006), Buenos Aires, Argentina (2007), Antalya, Turkey (2008), Parma, Italy (2009), Prague, The Czech Republic (2010), Valladolid, Spain (2011), and Burlington, USA (2012).

ICORS welcomes contributions to applied statistics as well as theoretical statistics, and in particular new problems related to robust statistics and data analysis. The following areas are expected to be well represented at the conference, but contributed talks on other related topics are also welcome.

Concepts and theory of robust statistics
Asymptotic theory and efficiency
Robust and nonparametric multivariate statistics
Robust time series analysis
Linear and generalized linear models
Robust statistics in business and finance
Robust statistics in bioinformatics/genetics
Statistical computing, graphics and data mining
Robustness in control theory
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