Date/Time
Date(s) - 02/12/2019 - 05/12/2019
12:00 am

Location
Hong Kong


Dear All,

As you may be aware Hong Kong is going through a tough time now, and we understand that this arouses much concern and worry from many of you, especially for those who will be travelling to Hong Kong. In view of this fluid situation, it is decided that the 11th IASC-ARS Conference will be CANCELLED. Above all, your safety is our top priority. Please allow us to have some time to handle the follow-up issues. Please also help to relay the message and inform your speakers if you are session organisers.

Thank you for your support to the event and understanding. We believe this is the best decision we could make under current situation.

Kind regards,
Philip L.H. Yu
Chairman, Local Organising Committee
The 11th IASC-ARS Conference
2019/11/15

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The 11th IASC-ARS Conference (https://saasweb.hku.hk/conference/iasc-ars2019/) will be held at the University of Hong Kong, China, on 2-5 December 2019. The theme of the conference is “Statistical Computing for AI and Big Data”. The aim of the conference is to provide a forum for the discussion and exchange of ideas, new concepts and recent methods in statistics. Philip Leung-ho Yu from the Department of Statistics and Actuarial Science of the University of Hong Kong will be the General Chair of the conference.

The Local Organizing Committee of the IASC-ARS 2019 invites submissions of Invited Session Proposals. An invited session proposal includes a session title, general description of the session, list of speakers, and tentative talk titles. Submissions may be made by email to iasc-ars2019@hku.hk. The submission deadline is 28 February 2019. The organizers will be notified of the review committee’s decision by 31 March 2019. Click here for the poster of Call for Invited Session Proposals for the details.

Keynote Speakers: Wolfgang Karl Hӓrdle, Jun Liu, and Qiwei Yao

Local organizer: Department of Statistics and Actuarial Science, The University of Hong Kong

We look forward to seeing you in Hong Kong!

 

For more information: https://saasweb.hku.hk/conference/iasc-ars2019/