Over 200 Years Of Experience

Yesterday the first non-workshop sessions of the Annual Meeting of the Statistical Society of Canada began. It was a fantastic day filled with some great talks, and time chatting with colleagues.

The morning began with a session on Biostatistics: Modelling and Study Design. There was one talk in particular on age and gender standardization methods (by Ramon Clèries) that I found particularly interesting – as it is directly applicable to some of the health data (and even ecological data) that I analyze.

Following lunch I sat in on a 90 minute discussion that was panelled by five statistics educators with more than 200 years of teaching experience between them. Clearly this was a discussion I did not want to miss, as I personally believe that a good statistics education is fundamental to all scientific endeavours. The panel included:

Over 200 years of educational training are sitting at this table.

It was great to listen to these five chat about their experiences, and answer questions related to the current directions, demands, and needs of statistical education.

Last night was also the Department of Mathematics & Statistics Alumni Night, held at the Bullring and catered in part by Bob of Bob’s Dogs. The night was filled with a lot of laughter, a lot of food, and catching up with old friends.

Today I’m pretty excited about one session in particular. The session is titled An Overview of Models and Methods for Spatio-temporal Data Analysis, and is to be presented by Jim Zidek of the University of British Columbia.

The abstract, as pulled from the SSC website, is provided below:

This presentation will describe the elements of spatio-temporal analysis for the three major types of processes, geostatistical, lattice and point, on which spatio-temporal methods are based, with an emphasis on first. These types cover the different types of data encountered in practice and their different statistical frameworks will be described. In particular the very successful Bayesian hierarchical approach, which can be used in all these areas, will be introduced. Examples will be presented along with emerging frontiers. The presentation will be given at a fairly non-technical level and it should be accessible to anyone with a reasonable working knowledge of statistics, gained either through theory or practice.

I’m also excited because today my students Justin, Matt, and Kat present their posters. Even more, Almost Dr. Lorna presents her work too.

And with that, I’m off to the conference.

Happy SSC2012 everyone.


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