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.
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.
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