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Jun Yan


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Journal of Data Science, 23 (3/4)

Posted By Jun Yan 12-20-2025 12:13
Found In Egroup: ASA Connect \ view thread
Dear Colleagues, As the holiday season approaches, I am pleased to share the final two issues of Volume 23 of the Journal of Data Science (https://jds-online.org). Issue 3 features selected contributions from the 2024 WNAR/IMS/Graybill Annual Meeting and was co-guest-edited by Tianjian Zhou (Colorado ...

RE: 2026 CSAS Data Challenge - Curling!

Posted By Jun Yan 12-07-2025 09:35
Found In Egroup: ASA Connect \ view thread
Dear Colleagues, the delayed webinar has been rescheduled. Please see the following message from Brian and contact him if interested: === Hi All, A webinar introduction to the 2026 CSAS Data Challenge is scheduled for Thursday, December 11, 2025, at 7-8pm ET. For students who are interested in attending ...

Call for topic-contributed session proposals for JSM 2026 in Boston

Posted By Jun Yan 11-25-2025 16:35
Found In Egroup: STA: Text Analysis Section \ view thread
Dear Colleagues, This is a reminder that the JSM 2026 Topic-Contributed (TC) Session Proposal Submission closes Wednesday, December 10 at 11:59 pm ET. All TC paper sessions are required to have 5 speakers, while a panel can have 3-6 panelists. Additional information on TC requirements can be found ...

RE: 2026 CSAS Data Challenge - Curling!

Posted By Jun Yan 10-27-2025 21:34
Found In Egroup: ASA Connect \ view thread
A quick reminder: The webinar for the 2026 CSAS Data Challenge on Curling is on October 29, 2025 at 7pm ET. Register at https://statds.org/events/csas2026/challenge.html. On Fri, Oct 10, 2025 at 1:24 PM Jun Yan wrote: Dear Colleagues, We are pleased to announce the 2026 Connecticut Sports Analytics ...

2026 CSAS Data Challenge - Curling!

Posted By Jun Yan 10-10-2025 13:25
Found In Egroup: ASA Connect \ view thread
Dear Colleagues, We are pleased to announce the 2026 Connecticut Sports Analytics Symposium (CSAS) Data Challenge. Participants will focus on power play optimization in mixed doubles curling - when to use it, how to execute it, and how to defend against it - using data from international competition ...