Events List

van Eeden seminar: The four pillars of machine learning

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Speaker: Speaker: van Eeden Invited Speaker: Kevin Patrick Murphy, Research Scientist, Google
Event type: Statistics Seminar
Location: Zoom (registration required)

Stabilized COre gene and Pathway Election uncovers pan-cancer shared pathways and a cancer specific driver

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Speaker: Speaker: Qingrun Zhang, Assistant Professor, Department of Mathematics and Statistics, University of Calgary
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Understanding tumor heterogeneity through single-cell data

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Speaker: Speaker: Pedro Falé Ferreira, PhD student at Niko Beerenwinkel’s group, ETH Zürich
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Estimating Global and Country-Specific Excess Mortality During the COVID-19 Pandemic

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Speaker: Speaker: Jon Wakefield, Professor of Statistics and Biostatistics, University of Washington
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Causal epistemology: estimands

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Speaker: Speaker: Boris Sobolev, Professor and Head, UBC School of Population and Public Health
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

CANSSI Data Science ARES: Daniel J. McDonald

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Speaker: Speaker: Daniel McDonald, Associate Professor, UBC Department of Statistics
Event type: Statistics Seminar
Location: Zoom (to register, see CANSSI website) or Maple Room, University of Toronto

Robust Statistical Learning and Generative Adversarial Networks

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Speaker: Speaker: Yuan Yao, Professor of Mathematics, Hong Kong University of Science and Technology
Event type: Statistics Seminar
Location: Zoom

Penalized Casebase in Survival Analysis

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Speaker: Speaker: Trevor Kwan, UBC Statistics MSc Student
Event type: Statistics Seminar
Location: Zoom

Vine copula mixture models and clustering for non-Gaussian data

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Speaker: Speaker: Özge Sahin, PhD Student, Technical University of Munich
Event type: Statistics Seminar
Location: Zoom / ESB 4192

Forming realistic population distributions for flood frequency assessments

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Speaker: Speaker: Vincenzo Coia, Assistant Professor of Teaching, UBC Department of Statistics
Event type: Statistics Seminar
Location: Zoom / ESB 4192

Non-Crossing Dual Neural Network: Joint Value at Risk and Conditional Tail Expectation estimations with non-crossing conditions

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Speaker: Speaker: Juan José Vidal Llana, Ph.D. student, University of Barcelona Business School
Event type: Statistics Seminar
Location: Zoom

Improving multiple-try Metropolis with local balancing

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Speaker: Speaker: Philippe Gagnon, Assistant Professor of Actuarial Science, Department of Mathematics and Statistics, Université de Montréal
Event type: Statistics Seminar
Location: Zoom / ESB 4192

SSC Data Science & Analytics Section 2022 Webinar Series: Vincenzo Coia

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Speaker: Speaker: Vincenzo Coia, Assistant Professor of Teaching, UBC Department of Statistics
Event type: Statistics Seminar
Location: Zoom

Metropolis Adjusted Underdamped Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo

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Speaker: Speaker: Lionel Riou-Durand, Postdoctoral Fellow, University of Warwick
Event type: Statistics Seminar
Location: Zoom

Bayesian Dose-Finding Design for Molecularly Targeted Agents and Immunotherapy

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Speaker: Speaker: Haolun Shi, Assistant Professor, Department of Statistics and Actuarial Science, Simon Fraser University
Event type: Statistics Seminar
Location: Zoom

Stochastic Geometry for Machine Learning

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Speaker: Speaker: Eliza O’Reilly, Postdoctoral Scholar Fellowship Trainee, Computing and Mathematical Sciences, California Institute of Technology
Event type: Statistics Seminar
Location: Zoom / ESB 4192

CANSSI Data Science ARES: Marie Auger-Méthé

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Speaker: Speaker: Marie Auger-Méthé, Assistant Professor, UBC Department of Statistics, Institute for the Oceans & Fisheries
Event type: Statistics Seminar
Location: Zoom (to register, see CANSSI website)

Doctor for AI: Prior-informed ML for Biomedical Imaging and Perception

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Speaker: Speaker: Liyue Shen, Ph.D. student, Department of Electrical Engineering, Stanford University
Event type: Statistics Seminar
Location: Zoom

What can statisticians learn from the analysis of C.elegans data?

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Speaker: Speaker: Gonzalo E. Mena, Florence Nightingale Bicentennial Fellow and Tutor in Computational Statistics and Machine Learning, Department of Statistics, University of Oxford
Event type: Statistics Seminar
Location: Zoom

Bridging the Gap Between Deep Learning and Probabilistic Modeling

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Speaker: Speaker: Geoff Pleiss, Postdoctoral Research Scientist, Department of Statistics and Zuckerman Institute, Columbia University
Event type: Statistics Seminar
Location: Zoom