Events List

Speeding up Metropolis using Theorems

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Speaker: Speaker: Jeffrey S. Rosenthal, Professor, Department of Statistical Sciences, University of Toronto
Event type: Statistics Seminar
Location: ESB 5104 / Zoom

Uncertainty Quantification for Structure Learning and Interpretable Machine Learning

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Speaker: Speaker: Lili Zheng, Postdoctoral Researcher, Department of Electrical and Computer Engineering, Rice University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Probabilistic methods for designing functional protein structures

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Speaker: Speaker: Brian L. Trippe, Postdoctoral Research Fellow, Department of Statistics, Columbia University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Toward large-scale Bayesian inference with structured generative models

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Speaker: Speaker: Ricardo Baptista, von Karman Instructor, Computing and Mathematical Sciences, California Institute of Technology
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Advancing Biomedical Data Science: Leveraging ChatGPT for genomics data & Testing data-driven hypothesis post-clustering

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Speaker: Speaker: Yiqun T. Chen, Data Science Postdoctoral Fellow, Stanford University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Identifiable and interpretable nonparametric factor analysis

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Speaker: Speaker: Maoran Xu, Postdoctoral Associate, Department of Statistical Science, Duke University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Learning-Rate-Free Methods for Scalable Bayesian Inference

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Speaker: Speaker: Louis Sharrock, Senior Research Associate in Statistical Machine Learning, Department of Mathematics and Statistics, Lancaster University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

The design and analysis of annealing algorithms for sampling and generative modelling

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Speaker: Speaker: Saifuddin Syed, Florence Nightingale Bicentenary Research Fellow, Department of Statistics, University of Oxford
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Quantifying Uncertainty in Clustering Analysis: With Applications in Genetic Data and Phylogenetic Trees

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Speaker: Speaker: Thu Nguyen, UBC Statistics MSc student
Event type: Graduate Student Seminar
Location: ESB 4192 / Zoom

Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates

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Speaker: Speaker: Louis Sharrock, Senior Research Associate in Statistical Machine Learning, Lancaster University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Advancements in Probabilistic Circuits for Tractable Probabilistic Inference

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Speaker: Speaker: Martin Trapp, Postdoctoral Researcher, Department of Computer Science, Aalto University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

MDS Vancouver Alumni Virtual Information Session

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Speaker:
Event type: Workshop
Location: Online

Inference with joint models under misspecified random effects distributions

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Speaker: Speaker: Sanjoy K. Sinha, Professor, School of Mathematics and Statistics, Carleton University
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Approximate Marginal Likelihood Inference in Mixed Models for Grouped Data

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Speaker: Speaker: Alex Stringer, Assistant Professor, Department of Statistics and Actuarial Science, University of Waterloo
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Fall 2023 Statistics Orientation/Faculty Flash Talks

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Speaker:
Event type: Social
Location: ESB 4192

Statistics Imagine Day 2023/24

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Speaker:
Event type: Student Event
Location: BUCH A104 for presentations / ESB 3009 for lunch

Two MSc student presentations (Liam Gilson & Giuliano Netto Flores Cruz)

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Speaker: Speaker: Liam Gilson, UBC Statistics MSc student; Giuliano Netto Flores Cruz, UBC Bioinformatics MSc student
Event type: Graduate Student Seminar
Location: ESB 4192 / Zoom

Risk Prediction for Premature Menopause in Childhood Cancer Survivors

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Speaker: Speaker: Yan Yuan, Associate Professor, School of Public Health, University of Alberta
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Phylogenetic analysis: expectations, reality and bridging the gap between the two

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Speaker: Speaker: Julija Pecerska, Postdoctoral researcher, Zurich University of Applied Sciences
Event type: Statistics Seminar
Location: ESB 4192 / Zoom

Regularized Relative Risk Regression: A Non-GLM Approach with Emphasis on Large p, Small N Simulations

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Speaker: Speaker: Xinyuan (Chloe) You, UBC Statistics MSc Student
Event type: Graduate Student Seminar
Location: ESB 4192/Zoom