Update: Early bird registration deadline extended until 5 June
AMSI Discount: in recognition of AMSI’s sponsorship, ICORS participants from AMSI member institutions receive a 10% discount on the conference registration fee. See our registration page for details.
The National Institute for Applied Statistics Research Australia (NIASRA) at The University of Wollongong is proud to host ICORS 2017 from 3 – 7 July 2017.
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 and practitioners 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.
As part of ICORS 2017, a Workshop on Robust Inference for Sample Surveys will take place on Friday. The Workshop will feature a plenary address from Professor Ray Chambers of UOW and thematic sessions of invited and contributed papers. Registration for ICORS 2017 includes the Friday workshop or the workshop can be registered for separately.
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), Burlington, USA (2012), St. Petersburg, Russia (2013) Halle, Germany (2014), Kolkota, India (2015), and Geneva, Switzerland (2016).
The conference welcomes contributions to applied statistics as well as theoretical statistics, and in particular new problems related to robust statistics and data analysis.