Seminars listed as To Be Announced (TBA) will be updated as their title and abstracts become available.
Upcoming Seminars
| Date | Speaker | Title |
|---|---|---|
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January 28, 2025 Start: 10:30 a.m. Location: M3 3127 |
Shai Ben-David |
Learning probability distributions; what can, what can't be done. |
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February 11, 2025 Start: 10:30 a.m. Location: M3 3127 |
Weijie Su |
A Statistical Framework of Watermarks for Large Language Models |
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March 4, 2025 Start: 10:30 a.m. Location: M3 3127 |
Lifeng Lin |
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March 11, 2025 Start: 10:30 a.m. Location: M3 3127 |
Wenrui Li |
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March 18, 2025 Start: 10:30 a.m. Location: M3 3127 |
Daniel J. McDonald |
Nonparametric estimation of time-varying reproduction numbers |
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March 25, 2025 Start: 10:30 a.m. Location: M3 3127 |
Keith Levin |
Peer effects in the linear-in-means model may be inestimable even when identified |
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April 1, 2025 Start: 10:30 a.m. Location: M3 3127 |
Samory Kpotufe |
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April 8, 2025 Start: 10:30 a.m. Location: M3 3127 |
Weijing Tang |
Inference and Learning for Signed Networks Guided by Social Theory |
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April 22, 2025 Start: 10:30 a.m. Location: M3 3127 |
Venu Veeravalli |
Past seminars
| Date | Speaker | Title | |
|---|---|---|---|
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December 3, 2024 Start: 10:30 a.m. Location: M3 3127 |
Areti Veroniki University of Toronto/St. Michael’s Hospital, Unity Health Toronto |
Network meta-analysis of diagnostic test accuracy studies | |
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November 26, 2024 Start: 10:30 a.m. Location: M3 3127 |
Snigdha Panigrahi University of Michigan |
Selective inference using randomized group lasso estimators | |
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November 19, 2024 Start: 10:30 a.m. Location: M3 3127 |
En-Hui Yang University of Waterloo (ECE) |
Information Theory Inspired Deep Learning | |
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November 12, 2024 Start: 10:30 a.m.. Location: M3 3127 |
Shirin Golchi McGill University |
Assessment of design operating characteristics in Bayesian clinical trials | |
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October 22, 2024 Start: 10:30 a.m. Location: M3 3127 |
Lu Mao University of Wisconsin–Madison |
On the restricted mean time in favor of treatment | |
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October 8, 2024 Start: 10:30 a.m. Location: M3 3127 |
Alexander Terenin Cornell University |
Cost-aware Bayesian optimization via the Pandora’s Box Gittins index |
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October 1, 2024 Start: 10:30 a.m. Location: M3 3127 |
Kaizheng Wang |
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August 8, 2024 Start: 4:00 p.m. Location: M3 3127 |
Babak Shahbaba University of California, Irvine (UCI) |
Of rodents and humans: a framework to capture latent representations and dynamics in brain activity data across species | |
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April 22, 2024 Start: 4:00 p.m. Location: M3 3127 |
Samuel Cohen University of Oxford |
Calibrating Hawkes processes in financial data | |
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April 9, 2024 Start: 4:00 p.m. Location: M3 3127 |
Donglin Zeng University of Michigan |
Learning Optimal Dynamic Treatment Regimes under Risk Constraints | |
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April 2, 2024 Start: 4:00 p.m. Location: M3 3127 |
Jinbo Chen University of Pennsylvania |
Novel Missing Data Problems Arising from the Analyses of Electronic Health Record Data | |
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March 26, 2024 Start: 4:00 p.m. Location: M3 3127 |
Yang Chen University of Michigan |
Video Imputation and Prediction Methods with Applications in Space Weather | |
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March 19, 2024 Start: 4:00 p.m. Location: M3 3127 |
Yanbo Tang Imperial College London |
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March 13, 2024 Start: 10:00 a.m. Location: M3 3127 |
Jonathan Huggins Boston University |
Reproducible Statistical Inference | |
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November 29, 2023 Start: 4:00 p.m. Location: M3 3127 |
Aaron Schein University of Chicago |
Models of Complex Dependence Structure in Sparse Dyadic Event Data of International Relations | |
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November 15, 2023 Start: 4:00 p.m. Location: M3 3127 |
Wei Xie Northeastern University |
Multi-scale Bioprocess Hybrid Modeling, Mechanism Learning, and Optimization | |
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November 8, 2023 Start: 4:00 p.m. Location: M3 3127 |
Ping Yan Public Health Agency of Canada |
A proportional incidence rate model for aggregated data to study vaccine effectiveness against COVID-19 hospital and ICU admissions | |
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October 18, 2023 Start: 4:00 p.m. Location: M3 3127 |
Min-ge Xie Rutgers University |
Repro Samples Method for Irregular Inference Problems and for Unraveling Machine Learning Blackboxes | |
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October 6, 2023 Start: 2:00 p.m. Location: M3 3127 |
Jiahua Chen University of British Columbia |
Global Consistency of Empirical Likelihood | |
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October 4, 2023 Start: 4:00 p.m. Location: M3 3127 |
Jemila Hamid University of Ottawa |
Multivariate Bilinear Models Useful for Analysis of Longitudinal and Clustered Longitudinal Data | |
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September 27, 2023 Start: 4:00 p.m. Location: M3 3127 |
Emma Zhang Emory University |
Tensor Regressions: New Methods, Algorithms and Theory | |
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September 20, 2023 Start: 4:00 p.m. Location: M3 3127 |
Bouchra Nasri University of Montreal |
On factor copula-based mixed regression models | |
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September 13, 2023 Start: 4:00 p.m. Location: M3 3127 |
Hengrui Cai University of California, Irvine |
Towards Causal Revolution: On Learning Heterogeneity and Non-Spuriousness in Causal Graphs | |
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September 6, 2023 Start: 4:00 p.m. Location: M3 3127 |
Jiming Jiang |
A Random-effects Approach to Regression Involving Many Categorical Predictors and Their Interactions | |
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August 11, 2023 Start: 2:00 p.m. Location: M3 3127 |
Tom Berrett University of Warwick |
On robustness and local differential privacy | |
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June 21, 2023 Start: 3:00 p.m. Location: M3 3127 |
Abbas Khalili McGill University |
Sparse estimation in heterogeneous varying coefficient regression models | |
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June 12, 2023 Start: 3:00 p.m. Location: M3 3127 |
Elena Tuzhilina |
Statistical curve models for inferring 3D chromatin architecture |
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June 1, 2023 Start: 3:00 p.m. Location: M3 3127 |
Qingrun Zhang |
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April 26, 2023 Start: 4:00 p.m. Location: M3 3127 |
Ehsan Karim |
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April 12, 2023 Start: 4:00 p.m. Location: M3 3127 |
Shu Yang |
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March 29, 2023 Start: 4:00 p.m. Location: M3 3127 |
Ashok Chaurasia |
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March 22, 2023 Start: 4:00 p.m. Location: M3 3127 |
Robert Basset |
One-Step Estimation with Quasi-Newton and Scaled Proximal Methods |
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March 20, 2023 Start: 4:00 p.m. Location: M3 3127 |
Alison Burnham |
Using Data Science to Optimize Business – Opportunities & Challenges |
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March 15, 2023 Start: 4:00 p.m. Location: M3 3127 |
Dehan Kong |
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March 8, 2023 Start: 4:00 p.m. Location: M3 3127 |
Xin Bing |
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models |
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March 1, 2023 Start: 4:00 p.m. Location: M3 3127 |
Linbo Wang |
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December 7, 2022 Start: 2:30 p.m. Location: M3 3127 |
Stephen Walter |
Some potential biases in the meta-analysis of clinical trials data |
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November 30, 2022 Start: 2:30 p.m. Location: M3 3127 |
Lucia Petito |
Considerations when Discussing Causal Concepts with Applied Researchers |
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November 16, 2022 Start: 2:30 p.m. Location: M3 3127 |
Patrick Brown |
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November 9, 2022 Start: 2:30 p.m. Location: M3 3127 |
Justin Slater |
Quantifying the risk of travelling during a pandemic using cellphone-derived mobility data |
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November 2, 2022 Start: 2:30 p.m. Location: M3 3127 |
Alexandra Schmidt |
Zero-state coupled Markov switching count models for spatio-temporal infectious disease spread |
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October 26, 2022 Start: 2:30 p.m. Location: M3 3127 |
Mireille Schnitzer |
Outcome-adaptive LASSO for confounder selection with time-varying treatments |
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October 5, 2022 Start: 2:30 p.m. Location: M3 3127 |
Liangliang Wang |
Annealed sequential Monte Carlo method with non-standard applications |
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September 29, 2022 Start: 4:00 p.m. Location: M3 3127 |
Yang Feng |
Transfer Learning under High-dimensional Generalized Linear Models |
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September 14, 2022 Start: 2:30 p.m. Location: M3 3127 |
Yanyuan Ma |
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April 21, 2022 Start: 4:00 p.m. Location: Virtual |
Issa Dahabreh |
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April 7, 2022 Start: 11:00 a.m. Location: Virtual |
Eunhye Song |
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March 31, 2022 Start: 4:00 p.m. Location: Virtual |
Lucas Mentch |
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March 24, 2022 Start: 11:00 a.m. Location: Virtual |
Mats Stensrud |
On optimal decision rules assisted by algorithms and human intuition |
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March 17, 2022 Start: 4:00 p.m. Location: Virtual |
Julia Wrobel |
Registration for wearable device data with application to circadian rhythm chronotype discovery |
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March 10, 2022 Start: 9:00 a.m. Location: Virtual |
Gavin Simpson |
Estimating trends in messy time series using generalized additive models |
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March 3, 2022 Start: 10:00 a.m. Location: Virtual |
Aaron Sarvet |
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February 24, 2022 Start: 11:00 a.m. Location: Virtual |
Helen Ogden |
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December 2, 2021 Start: 4:00 p.m. Location: Virtual |
Eardi Lila |
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November 25, 2021 Start: 4:00 p.m. Location: Virtual |
Emanuele Giorgi |
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November 18, 2021 Start: 4:00 p.m. Location: Virtual |
Guo (Hugo) Yu |
Reluctant interaction modeling in generalized linear models | |
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November 11, 2021 Start: 4:00 p.m. Location: Virtual |
Jessica Gronsbell |
Semi-supervised learning with electronic health records | |
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November 10, 2021 Start: 12:00 p.m. Location: Virtual |
Pragya Sur |
Precise high-dimensional asymptotics for AdaBoost via max-margins & min-norm interpolants | |
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October 28, 2021 Start: 4:00 p.m. Location: Virtual |
Pingshou Zhong |
Unified Tests for Nonparametric Functions in RKHS with Kernel Selection and Regularization |
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October 21, 2021 Start: 4:00 p.m. Location: Virtual |
Harry Joe |
Estimation of copula-based tail quantities | |
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October 7, 2021 Start: 4:00 p.m. Location: Virtual |
Simon Mak |
A graphical Gaussian process model for multi-fidelity emulation of expensive computer codes |
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September 30, 2021 Start: 4:00 p.m. Location: Virtual |
Shu Yang |
Continuous-time causal models with irregularly spaced longitudinal observations |
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September 23, 2021 Start: 4:00 p.m. Location: Virtual |
Haoda Fu |
Our Recent Development on Cost Constraint Machine Learning Models | |
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September 16, 2021 Start: 4:00 p.m. Location: Virtual |
Michele Peruzzi |
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July 15, 2021 Start: 4:00 p.m. Location: Webex |
Ashok Chaurasia |
Combining rules for F- and Beta-statistics from multiply-imputed data |
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April 1, 2021 Start: 4:00 p.m. Location: Webex |
Jean Feng |
Safe approval policies for continual learning systems in healthcare |
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March 18, 2021 Start: 4:00 p.m. Location: Webex |
Hyungsuk Tak |
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March 11, 2021 Start: 4:00 p.m. Location: Webex |
Alex Franks |
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding |
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November 19, 2020 Start: 4:00 p.m. Location: Online |
Richard Lockhart |
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November 12, 2020 Start: 3:00 p.m. Location: Online |
Tobias Fissler Vienna University |
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October 29, 2020 Start: 4:00 p.m. Location: Online |
Robin Gong |
Towards Good Statistical Inference from Differentially Private Data | |
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October 8, 2020 Start: 4:00 p.m. Location: Online |
Arman Sabbaghi |
Predictive Comparisons for Screening and Interpreting Inputs in Machine Learning |
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October 1, 2020 Start: 4:00 p.m. Location: Online |
Ashley Petersen |
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September 24, 2020 Start: 4:00 p.m. Location: Online |
Yehua Li |
Unified Principal Component Analysis for Sparse and Dense Functional Data under Spatial Dependency |
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September 17, 2020 Start: 4:00 p.m. Location: Online |
Neil Spencer |
A new framework for modeling sparse networks that makes sense (and can actually be fit!) |
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September 10, 2020 Start: 4:00 p.m. Location: Online |
Emma (Jingfei) Zhang |
Network Response Regression for Modeling Population of Networks with Covariates |
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July 23, 2020 Start: 4:00 p.m. Location: Online |
Kevin (Haosui) Duanmu UC Berkeley |
Applications of Nonstandard Analysis to Markov Processes | |
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July 16, 2020 Start: 5:00 p.m. Location: Online |
Nan Zou Macquarie University |
Multivariate Extremes: Block-Maxima vs Peak-Over-Threshold | |
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June 25, 2020 Start: 4:00 p.m. Location: Online |
Guillaume Saint-Jacques |
Fairness through Experimentation: Inequality in A/B testing as an approach to responsible design | |
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June 4, 2020 Start: 4:00 p.m. Location: Online |
Grace Yi University of Western Ontario |
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May 7, 2020 Start: 4:00 p.m. Location: Online |
Pang Du Virginia Tech. |
Two-sample test on funscalar data with application to hemodialysis monitoring by Raman spectroscopy |
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August 22, 2019 Start: 4:00 p.m. Location: M3 3127 |
Dr. Yan Yuan School of Public Health, University of Alberta |
Development and Application of A Measure of Prediction Accuracy for Binary and Censored Time to Event Data | |
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August 13, 2019 Start: 4:00 p.m. Location: M3 3127 |
Dr. Pavel Krupskiy University of Melbourne |
Spatial Cauchy processes with local tail dependence | |
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July 11, 2019 Start: 4:00 p.m. Location: M3 3127 |
J. N. K. Rao Carleton University |
On making valid inferences by combining data from multiple sources: An appraisal | |
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June 24, 2019 Start: 4:00 p.m. Location: M3 3127 |
Dr. Marine Carrasco University of Montreal |
A regularization approach to the dynamic panel data model estimation |
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May 31, 2019 Start: 10:30 a.m. Location: M3 3127 |
Dr. Jonathan Yu-Meng Li University of Ottawa |
Worst-case risk measures and distributionally robust optimization |
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May 9, 2019 Start: 4:00 p.m. Location: M3 3127 |
Ashkan Ertefaie Rochester University |
Robust Q-learning |
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April 18, 2019 Start: 2:30 p.m. Location: M3 3127 |
Shelley B. Bull Lunenfeld-Tanenbaum Research Institute and University of Toronto |
Regional-level genetic association testing under genomic partitioning adapted to local linkage disequilibrium |
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April 9, 2019 Start: 4:00 p.m. Location: M3 3127 |
Marcel Nutz Columbia University |
Convergence to the Mean Field Game Limit: A Case Study | |
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April 4, 2019 Start: 4:00 p.m. Location: M3 3127 |
Pamela Shaw University of Pennsylvania |
Estimation methods to address correlated errors in time-to-event outcomes and exposures | |
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April 3, 2019 Start: 4:00 p.m. Location: M3 3127 |
Chuck Huber Stata Corporation |
Causal Inference for Complex Observational Data | |
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March 28, 2019 Start: 4:00 p.m. Location: M3 3127 |
Yimin Xiao Michigan State University |
Excursion Probabilities and Geometric Properties of Multivariate Gaussian Random Fields | |
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March 14, 2019 Start: 4:00 p.m. Location: M3 3127 |
Yi Yang McGill University |
A Unified Approach to Sparse Tweedie Modeling of Multi-Source Insurance Claim Data |
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March 7, 2019 Start: 4:00 p.m. Location: M3 3127 |
Yong Chen University of Pennsylvania |
Non-standard problems in statistical inference:Bartlett identity, boundary, identifiability issues | |
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February 14, 2019 Start: 1:00 p.m. Location: M3 3127 |
Louise Ryan University of Technology Sydney Joseph Jacobson Wayne State University Sandra Jacobson Wayne State University Tugba Akkaya Hocagil University of Waterloo |
Propensity scores and missing data, with application to research on effects of prenatal alcohol exposure | |
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December 5, 2019 Start: 4:00 p.m. Location: M3 3127 |
Jeroen de Mast University of Waterloo |
Having impact with data science in industry … Data science as an integrated set of skills in data analytics, data engineering and data entrepreneurship | |
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November 28, 2019 Start: 4:00 p.m. Location: M3 3127 |
Shihao Yang Georgia Institute of Technology |
Bayesian inference of dynamic systems via constrained Gaussian processes |
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November 21, 2019 Start: 4:00 p.m. Location: M3 3127 |
Linglong Kong University of Alberta |
A General Framework for Quantile Estimation with Incomplete Data |
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November 14, 2019 Start: 4:00 p.m. Location: M3 3127 |
Adam Kashlak University of Alberta |
On Khintchine's Inequality for Statistics |
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November 7, 2019 Start: 4:00 p.m. Location: M3 3127 |
Yang Ning Cornell University |
Nonregular and Minimax Estimation of Individualized Thresholds in High Dimension with Binary Responses | |
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October 31, 2019 Start: 4:00 p.m. Location: M3 3127 |
Qi Long University of Pennsylvania |
Variable selection for structured high-dimensional data using known and novel graph information | |
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October 15, 2019 Start: 4:00 p.m. Location: M3 3127 |
Sebastian Engelke University of Geneva |
Graphical Models and Structural Learning for Extremes | |
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October 10, 2019 Start: 4:00 p.m. Location: M3 3127 |
Jiguo Cao Simon Fraser University |
Estimating Time-Varying Directed Networks | |
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October 3, 2019 Start: 4:00 p.m. Location: M3 3127 |
Hulin Wu University of Texas |
Real World EHR Big Data: Challenges and Opportunities | |
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September 19, 2019 Start: 4:00 p.m. Location: M3 3127 |
Enlu Zhou Georgia Institute of Technology |
Simulation Optimization under Input Model Uncertainty |
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September 12, 2019 Start: 4:00 p.m. Location: M3 3127 |
Rodney Sparapani Medical College of Wisconsin |
Nonparametric failure time with Bayesian Additive Regression Trees |