The Probability Section is pleased to announce a machine learning related workshop, as well as the speakers in its four invited sessions for the 2020 SSC Annual Meeting at Carleton University in Ottawa.
WORKSHOP:
The section is sponsoring a workshop, organized and run by Jay Newby of the University of Alberta, entitled "Particle tracking in biology using machine learning." To quote from the abstract: “There are two basic ingredients for particle tracking: (1) microscopy videos of nanometer to micrometer sized "particles" suspended in a fluid and (2) a stochastic model of particle motion. Given these two ingredients, we can use machine learning methods to gain insight into micron-scale systems. Particle tracking has many applications in physics, chemistry, and biology. We will be focusing primarily on the latter [….] In biology, many new applications for particle tracking are beginning to emerge, thanks to advances in microscopy, machine learning, and neural networks.” We are very pleased to have Jay running this workshop.
INVITED SESSIONS AND TENTATIVE SPEAKERS:
The section is proposing the following four invited sessions for SSC 2020:
50 years of Stochastics at Carleton University: Session in Honour of Miklos Csorgo
Organized by: Barbara Szyszkowicz, Carleton University
Invited speakers:
Yuliya Martsynyuk (University of Manitoba)
Nonparametric Detection of Change in the Slope and Intercept in Linear Structural Errors-in-Variables Models
Hao Yu (Western University)
Nonlinear Statistical Inference and its Applications
Masoud Nasari (Carleton University)
On Randomly Weighted Data and Some of Their Applications
50 years of Stochastics at Carleton University: Session in Honour of Donald A. Dawson
Organized by: Bouchra R. Nasri, McGill University
Invited speakers:
Luis Gorostiza (CINVESTAV)
Percolation, Random Walks and Multilevel Branching Systems in Hierarchical Lattices
Shui Feng (McMaster University)
Kingman's Coalescent and Bayesian Nonparametric Analysis
Jean Vaillancourt (HEC Montréal)
Some Results (New and Old) for a Class of Interacting Branching Measure Valued Diffusions
Directions to Goodness-of-Fit: a Memorial Session for Michael Stephens
Organized by: Richard Lockhart, Simon Fraser University
Invited speakers:
Louis-Paul Rivest (Laval University)
Current Trends in Directional Data
Simos Meintanis (University of Athens)
Current Trends in Goodness-of-Fit
Richard Lockhart (Simon Fraser University)
Michael Stephens from Memory
Advances in Research in Mathematical Finance
Organized by: Tony S. Wirjanto, University of Waterloo
Invited speakers:
Alexander Schied (University of Waterloo)
Currency Target Zone Models, Price Impact, and Singular Stochastic Control
Christoph Frei (University of Alberta)
Optimal Closing Benchmarks in Financial Markets
Silvana Pesenti (University of Toronto)
To be announced
We are grateful to the organizers of the sessions for continuing to promote the diversity and depth of the Canadian probability community.
Watch for additional opportunities through contributed sessions in probability and mathematical statistics.
And if time allows you to stay on for a day or two in the nation’s capital, there will be additional talks on stochastic partial differential equations in Ottawa over the weekend of June 5 to 8, immediately following the SSC 2020 meeting.
PROBABILITY STUDENT AWARD COMPETITION:
In addition, the Probability Section will be sponsoring student competitions for talks and poster presentations at the annual SSC meeting. Details and instructions on how to apply for one of the competitions can be found on our section website:
https://ssc.ca/sites/default/files/imce/probability_-_student_research_awards_announce_2020_en.pdf
Please contact René Ferland at ferland.rene@uqam.ca for further information.
We look forward to continuing the tradition of a Probability Section dinner on the Monday evening of the SSC meeting. We encourage as many members as possible to join us for this enjoyable evening, held this year on June 1 with additional details to come.
Jean Vaillancourt
President, Probability Section