Coming up: A summer school on modern methods in survey sampling

Need a reason to visit Ottawa this summer?

The Collaborative Research Team (CRT) on Modern Techniques for Survey Sampling and Complex Data is organizing a four-day in-person Summer School on Modern Methods in Survey Sampling for graduate students, postdoctoral fellows, statisticians working in government or industry such as Statistics Canada, and young researchers, to be held at the University of Ottawa from July 5 to 8, 2022. The registration cost is C$200, and there are several accommodation options, including free residence rooms for graduate students. A number of no-cost guest passes are available for graduate students with limited funding.

The summer school will be especially relevant to those interested in the following topics:

• Data integration techniques
• Machine learning methods
• High dimensional inference problems
• Causal inference and missing data
• Analysis of survey data

Presentations will be delivered by a highly distinguished group of international scholars:

Camelia Goga, Université de Franche-Comté
David Haziza, University of Ottawa
Jae-kwang Kim, Iowa State University
Xiao-Li Meng, Harvard University
Jason Poulos, Harvard University
Changbao Wu, University of Waterloo
Shu Yang, North Carolina State University

Visit the Eventbrite page for full details and to register.

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