From May 2-4, the University of Toronto Department of Statistical Sciences is hosting the 7th Bayesian, Fiducial & Frequentist (BFF7) Conference, supported by the Canadian Statistical Sciences Institute (CANSSI) and the Statistical Society of Canada (SSC). This year’s hybrid conference will focus on methodological, computational and ethical principles of data…

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Inverse problems are widespread in many varied fields such as medical and satellite imaging, biology, astronomy, geophysics, environmental sciences, computer vision, energy, finance, and defence. These problems are inverse in the sense that they arise from seeking to use a mathematical or physical model “backwards” to indirectly determine a quantity…

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Multi-armed bandit (MAB) algorithms have been argued for decades as useful to conduct adaptively-randomized experiments. By skewing the allocation of the arms towards the more efficient or informative ones, they have the potential to enhance participants’ welfare, while resulting in a more flexible, efficient, and ethical alternative compared to traditional…

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The goal of this workshop is to examine some recent developments of the interaction between stochastics and game theory. The focus will be on game theoretic models that heavily use stochastic tools and on stochastic methods that find relevant applications in game theory.…

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This event builds upon a very successful series of previous conferences over the past 25 years. From the first event held in Bath in 1985 to the most recent one held in Birmingham in 2016 being as successful as its predecessors, the organising committee is delighted to announce the 13th…

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As Statistics and Data Science continue to evolve in the big data era, we face new challenges that call for novel interdisciplinary research combining statistics, machine learning, econometrics, computer science, and biology. This 3-day conference brings together leading researchers from these various fields. They will offer new perspectives and methodologies,…

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The goals of this conference are to bring together internationally renowned researchers working on various topics related to stochastic analysis and, particularly, to the theory and applications of stochastic partial differential equations, and to expose and attract graduate students and young researchers to this steadily growing area.…

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IMS Representative(s) on Program Committees: Aaditya Ramdas This workshop aims to get together two groups of researchers — those who have been developing the mathematical, probabilistic and statistical foundations of this area, and practitioners who have studied and written about the reproducibility crisis in the sciences.…

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