Title:   Using Animal Instincts to Find Efficient Experimental Designs
Speaker: Weng Kee Wong, Dept of Biostatistics, UCLA

ABSTRACT
Using popular models from the biological and pharmaceutical sciences as examples, I demonstrate how particle swarm optimization (PSO) searches for different types of optimal experimental designs in dose response studies, including mini-max types of optimal designs where effective algorithms to find such designs have remained elusive until now.

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

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

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.

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

Presenter: Heather Krause MSc PStat, CEO Datassist

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