Calendar

Oct
20
Mon
TABA Seminar: Interrupted time series
Oct 20 @ 18:00 – Oct 20 @ 20:00

Topic: Interrupted time series
Presenter: Yan Chen, St. Michael’s Hospital; TARGet Kids project

Abstract: more details to follow

When: Monday October 20th, 2014
6-7 pm seminar
7 pm dinner (optional, but registration required)
Where: Room 696, UoT Health Sciences Building,
155 College Street <----------Note different location Cost: Seminar - free Dinner - $15 (students $5) To attend, please RSVP by or on Friday the 17th of October: * for seminar only, please email us by clicking here: mailto:taba.exec@gmail.com?subject=SeminarOnly * for seminar and dinner, please email us by clicking here: mailto:taba.exec@gmail.com?subject=SeminarAndDinner If you plan to attend the dinner, we accept a mailed cheque, Interac email money transfer or cash at the event. If you have to cancel the dinner we request a 48 hour notice otherwise TABA has to pay for it. For Interac email money transfer (not PayPal): do the transfer via your bank to taba.exec@gmail.com and send a separate email via your own email program to us (taba.exec@gmail.com) giving the answer to the security question you used so that we can accept the transfer. For cheques: mail cheque, payable to TABA, to Lorinda Simms Eli Lilly Canada Inc. 3650 Danforth Ave Toronto, ON M1N 2E8

Mar
2
Mon
TABA seminar: Janet McDougall & Lorinda Simms @ Room 7-605, PMH
Mar 2 @ 18:00 – Mar 2 @ 20:30
Apr
21
Tue
TABA seminar
Apr 21 @ 18:00 – Apr 21 @ 21:00

Topic: Maternal and Child Health Gains in Afghanistan in the Post-Taliban Era: A Synthesis of Big Data  (Presenter: Nadia Akseer)

Oct
15
Thu
York Statistics Seminar @ York University, North Ross 638
Oct 15 @ 14:00 – 15:00

You are invited to join our statistics seminar next week on Oct 15 at 2pm (Nross 638). The speaker is Dr. Yinglin Qin from University of Waterloo.
Here is the abstract. Hope to see you there.

Title:� Testing the order of a population spectral distribution for
high-dimensional data

�Abstract:

Yingli Qin
Large covariance matrices play a fundamental role in various high-dimensional statistics. Investigating the limiting behavior of
�the eigenvalues can reveal informative structures of large covariance
�matrices, which is particularly important in high-dimensional
�principal component analysis and covariance matrix estimation. In this
paper, we propose a framework to test the number of distinct
population eigenvalues for large covariance matrices, i.e. the order
of a Population Spectral Distribution. The limiting distribution of
our test statistic for a Population Spectral Distribution of order 2 is
developed along with its (N,p) consistency. We will also report
some simulation results and real data analysis.

Nov
24
Tue
TABA Seminar @ Room 7-605, Princess Margaret Hospital
Nov 24 @ 18:00 – Nov 24 @ 19:00
Mar
23
Wed
TABA seminar @ Room 7-605, Princess Margaret Hospital
Mar 23 @ 18:00 – 19:00

Topic: Statistics in the Wild – collecting and communicating data across cultures

Presenter: Heather Krause MSc PStat, CEO Datassist

May
5
Fri
SORA-TABA-DLSPH Workshop @ Hospital for Sick Children, Peter Gilgan Centre for Research and Learning auditorium
May 5 @ 08:15 – 16:45

For more information visit SORA-TABA-DLSPH Workshop 2017.

SORA Annual General Meeting @ Peter Gilgan Centre for Research and Learning auditorium
May 5 @ 16:45 – 17:45

The Annual General Meeting of the Southern Ontario Regional Association of the Statistical Society of Canada will take place on May 5, 2017 at approximately 5 pm, following the SORA-TABA-DLSPH Workshop.

Nov
6
Mon
TABA seminar: How Complete is your Literature Search? @ Room 7-605
Nov 6 @ 18:00 – Nov 6 @ 19:00
Jan
16
Tue
SORA Business Analytics Seminar – The Future of Data Science @ RBC Waterpark Place Auditorium
Jan 16 @ 16:00 – 17:30

Topic :  What is the future of Data Science?

A panel discussion on the landscape of data science with a variety of data science practitioners to add their experience and perspective.

Topics & Questions to be addressed:

  • The most interesting case studies of applied analytics that our panelists have been involved with
  • Is it all machine learning, AI, and coding?
  • Does the data have to be big? and what is “big data” anyway?
  • What background is most suitable for data science?
  • What is the need for statisticians? mathematicians? computer scientists?
  • How essential are skills in SAS, SPSS, python, and r ?
  • What are the new “must have” skills?
  • Is a graduate degree a must?
  • Are data science bootcamps replacing graduate degrees to get people into the field quickly?
  • How is data science different than data mining? business intelligence?  analytics?
  • How does/should data science fit into an organization?

We will also hear from our panelists their advice for those considering a career in the field.

Panelists

Neil Bartlett, SVP Enterprise Information Management at RBC

Ceni Babaoglu, Senior Data Analytics Associate at Ryerson University

Emma Warrillow, Chief DiGGer, Data Insight Group Inc.

Ozge Yeloglu, Chief Data Scientist, Customer Success Unit at Microsoft Canada

Sarah Siu, Business Intelligence, Shopify

Register for this event