Determinantal point processes with application to spatial design
Y. WangSFU/UBC Joint Statistics Seminar, 2017
Posts by Collection
portfolio
publications
SFU/UBC Joint Statistics Seminar, 2017
Design of monitoring networks using k-determinantal point processes
C. Casquilho-Resende, N. D. Le, J. V. Zidek, Y. WangEnvironmetrics, 2018
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Determinantal point processes with application to spatial design
Y. WangThe 46th Annual Meeting of the Statistical Society of Canada (SSC) 2018, Montreal, Canada, 2018
Uncertainty Quantification for Minimum and Maximum Temperature Forecast
Y. WangJoint Statistical Meetings (JSM) 2018, Vancouver, Canada, 2018
Approximately optimal spatial design: How good is it?
Y. Wang, N. D. Le, J. V. ZidekSpatial Statistics, 2020
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A scalable tool for longitudinal Twitter analysis: understanding the impact of COVID-19 on public discourse
Y. WangCOVID-19 Data Science Research Special Webinar Series, Michigan Institute for Data Science, Ann Arbor, MI, 2020
The Sylvester Graphical Lasso (SyGlasso)
Y. Wang, B. Jang, A. HeroProceedings of the Twenty-Third International Conference on Artificial Intelligence and Statistics (AISTATS'20), 2020
File | Code
The Sylvester Graphical Lasso (SyGlasso)
Y. WangAISTATS 2020, Palermo, Italy, 2020
The Sylvester Graphical Lasso (SyGlasso)
Y. WangJoint Statistical Meetings (JSM) 2020, Philadelphia, PA, 2020
Sylvester Graphical Models for Complex Spatio-Temporal Processes
Y. WangThe 4th annual review for the ARO-MURI: Adaptive Exploitation of Non-Commutative Multimodal Information Structure, Ann Arbor, MI, 2020
Approximately Optimal Subset Selection for Statistical Design and Modelling
Y. Wang, N. D. Le, J. V. ZidekJournal of Statistical Computation and Simulation, 2021
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A geometry-driven longitudinal topic model
Y. Wang, C. Hougen, B. Oselio, W. Dempsey, A. HeroHarvard Data Science Review, 2021
File | Code
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
Y. Wang, A. HeroProceedings of the Thirty-Eighth International Conference on Machine Learning (ICML'21), 2021
File | Code
A Geometry-Driven Longitudinal Topic Model
Y. Wang2021 Symposium on Data Science and Statistics, 2021
Gaussian graphical models for active region modeling and flare prediction
Y. WangJoint Statistical Meetings (JSM) 2021, Seattle, WA, 2021
talks
The Sylvester Graphical Lasso (SyGlasso)
Published:
teaching
STATS 250 - Introduction to Statistics and Data Analysis
Undergraduate-level course, University of Michigan, 2018
Role: Graduate Student Instructor
STATS 426 - Introduction to Theoretical Statistics
Undergraduate-level course, University of Michigan, 2019
Role: Graduate Student Instructor
STATS 306 - Introduction to Statistical Computing
Undergraduate-level course, University of Michigan, 2019
Role: Graduate Student Instructor
STATS 551 - Bayesian Modeling and Computation
Graduate-level course, University of Michigan, 2020
Role: Graduate Student Instructor