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 |
September 19, 2019
Start: 4:00 p.m.
Location: M3 3127
|
Enlu Zhou
Georgia Institute of Technology
|
Simulation Optimization under Input Model Uncertainty
|
October 3, 2019
Start: 4:00 p.m.
Location: M3 3127
|
Hulin Wu
University of Texas
|
Real World EHR Big Data: Challenges and Opportunities |
October 10, 2019
Start: 4:00 p.m.
Location: M3 3127
|
Jiguo Cao
Simon Fraser University
|
Estimating Time-Varying Directed Networks |
October 15, 2019
Start: 4:00 p.m.
Location: M3 3127
|
Sebastian Engelke
University of Geneva
|
Graphical Models and Structural Learning for Extremes |
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 |
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 |
November 14, 2019
Start: 4:00 p.m.
Location: M3 3127
|
Adam Kashlak
University of Alberta
|
On Khintchine's Inequality for Statistics
|
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
|
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
|
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 |
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 |
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 |
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
|
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 |
April 3, 2019
Start: 4:00 p.m.
Location: M3 3127
|
Chuck Huber
Stata Corporation
|
Causal Inference for Complex Observational Data |
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 |
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 |
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
|
May 9, 2019
Start: 4:00 p.m.
Location: M3 3127
|
Ashkan Ertefaie
Rochester University
|
Robust Q-learning
|
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
|
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
|
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 |
August 13, 2019
Start: 4:00 p.m.
Location: M3 3127
|
Dr. Pavel Krupskiy
University of Melbourne
|
Spatial Cauchy processes with local tail dependence |
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 |
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
|
June 4, 2020
Start: 4:00 p.m.
Location: Online
|
Grace Yi
University of Western Ontario
|
Can the reported COVID-19 data tell us the truth? Scrutinizing the data from the measurement error models perspective
|
June 25, 2020
Start: 4:00 p.m.
Location: Online
|
Guillaume Saint-Jacques
Linkedin
|
Fairness through Experimentation: Inequality in A/B testing as an approach to responsible design |
July 16, 2020
Start: 5:00 p.m.
Location: Online
|
Nan Zou
Macquarie University
|
Multivariate Extremes: Block-Maxima vs Peak-Over-Threshold |
July 23, 2020
Start: 4:00 p.m.
Location: Online
|
Kevin (Haosui) Duanmu
UC Berkeley
|
Applications of Nonstandard Analysis to Markov Processes |
September 10, 2020
Start: 4:00 p.m.
Location: Online
|
Emma (Jingfei) Zhang Miami University
|
Network Response Regression for Modeling Population of Networks with Covariates
|
September 17, 2020
Start: 4:00 p.m.
Location: Online
|
Neil Spencer Carnegie Mellon University
|
A new framework for modeling sparse networks that makes sense (and can actually be fit!)
|
September 24, 2020
Start: 4:00 p.m.
Location: Online
|
Yehua Li University of California
|
Unified Principal Component Analysis for Sparse and Dense Functional Data under Spatial Dependency
|
October 1, 2020
Start: 4:00 p.m.
Location: Online
|
Ashley Petersen University of Minnesota
|
|
October 8, 2020
Start: 4:00 p.m.
Location: Online
|
Arman Sabbaghi Purdue University
|
Predictive Comparisons for Screening and Interpreting Inputs in Machine Learning
|
October 29, 2020
Start: 4:00 p.m.
Location: Online
|
Robin Gong Rutgers University
|
Towards Good Statistical Inference from Differentially Private Data |
November 12, 2020
Start: 3:00 p.m.
Location: Online
|
Tobias Fissler
Vienna University
|
The Efficiency Gap
|
November 19, 2020
Start: 4:00 p.m.
Location: Online
|
Richard Lockhart Simon Fraser University
|
Conditional inference after model selection
|
March 11, 2021
Start: 4:00 p.m.
Location: Webex
|
Alex Franks University of California, Santa Barbara (UCSB)
|
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
|
March 18, 2021
Start: 4:00 p.m.
Location: Webex
|
Hyungsuk Tak Penn State University
|
Time Delay Cosmography Towards The Hubble Constant
|
April 1, 2021
Start: 4:00 p.m.
Location: Webex
|
Jean Feng University of California, San Francisco (UCSF)
|
Safe approval policies for continual learning systems in healthcare
|
July 15, 2021
Start: 4:00 p.m.
Location: Webex
|
Ashok Chaurasia University of Waterloo
|
Combining rules for F- and Beta-statistics from multiply-imputed data
|
September 16, 2021
Start: 4:00 p.m.
Location: Virtual
|
Michele Peruzzi Duke University
|
Spatial meshing for general Bayesian multivariate models
|
September 23, 2021
Start: 4:00 p.m.
Location: Virtual
|
Haoda Fu Eli Lilly and Company
|
Our Recent Development on Cost Constraint Machine Learning Models |
September 30, 2021
Start: 4:00 p.m.
Location: Virtual
|
Shu Yang North Carolina State University (NCSU)
|
Continuous-time causal models with irregularly spaced longitudinal observations
|
October 7, 2021
Start: 4:00 p.m.
Location: Virtual
|
Simon Mak Duke University
|
A graphical Gaussian process model for multi-fidelity emulation of expensive computer codes
|
October 21, 2021
Start: 4:00 p.m.
Location: Virtual
|
Harry Joe University of British Columbia (UBC)
|
Estimation of copula-based tail quantities |
October 28, 2021
Start: 4:00 p.m.
Location: Virtual
|
Pingshou Zhong University of Illinois Chicago (UIC)
|
Unified Tests for Nonparametric Functions in RKHS with Kernel Selection and Regularization
|
November 10, 2021
Start: 12:00 p.m.
Location: Virtual
|
Pragya Sur Harvard University
|
Precise high-dimensional asymptotics for AdaBoost via max-margins & min-norm interpolants |
November 11, 2021
Start: 4:00 p.m.
Location: Virtual
|
Jessica Gronsbell University of Toronto (UofT)
|
Semi-supervised learning with electronic health records |
November 18, 2021
Start: 4:00 p.m.
Location: Virtual
|
Guo (Hugo) Yu University of California, Santa Barbara (UCSB)
|
Reluctant interaction modeling in generalized linear models |
November 25, 2021
Start: 4:00 p.m.
Location: Virtual
|
Emanuele Giorgi Lancaster Medical
|
A model-based geostatistical framework for analysing malaria school survey data with missing residence locations
|
December 2, 2021
Start: 4:00 p.m.
Location: Virtual
|
Eardi Lila University of Washington
|
Functional random effects modeling of complex brain data
|
February 24, 2022
Start: 11:00 a.m.
Location: Virtual
|
Helen Ogden University of Southampton
|
Statistical scalability of approximate likelihood inference
|
March 3, 2022
Start: 10:00 a.m.
Location: Virtual
|
Aaron Sarvet École Polytechnique Fédérale de Lausanne (EPFL)
|
Inferential Foundations for Resource-Limited Settings
|
March 10, 2022
Start: 9:00 a.m.
Location: Virtual
|
Gavin Simpson Aarhus Univerisity
|
Estimating trends in messy time series using generalized additive models
|
March 17, 2022
Start: 4:00 p.m.
Location: Virtual
|
Julia Wrobel University of Colorado
|
Registration for wearable device data with application to circadian rhythm chronotype discovery
|
March 24, 2022
Start: 11:00 a.m.
Location: Virtual
|
Mats Stensrud École Polytechnique Fédérale de Lausanne (EPFL)
|
On optimal decision rules assisted by algorithms and human intuition
|
March 31, 2022
Start: 4:00 p.m.
Location: Virtual
|
Lucas Mentch University of Pittsburgh
|
Random Forests: Why They Work and Why That's a Problem
|
April 7, 2022
Start: 11:00 a.m.
Location: Virtual
|
Eunhye Song Penn State
|
Selection of the most probable best
|
April 21, 2022
Start: 4:00 p.m.
Location: Virtual
|
Issa Dahabreh Harvard University
|
Causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population
|
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