Research
Read how they describe their research on their University of Victoria profile.
Latest papers
Nonlinear modal regression for dependent data with application for predicting COVID-19.
Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2022
Latest funding
- $83,639
Online Learning-Based Real-Time Market Monitoring and Crisis Early Warning System
SSHRC · 2026 · Co-investigator
- $34,709
Econometrics-Machine Learning Nexus Conference: Advances in Causal Inference
SSHRC · 2024 · Principal investigator
- $47,611
Kernel-based modal regression for skewed or heavy-tailed data
SSHRC · 2023 · Principal investigator
1 publications.
Nonlinear modal regression for dependent data with application for predicting COVID-19.
Ullah A, Wang T, Yao W
Online Learning-Based Real-Time Market Monitoring and Crisis Early Warning System
Principal investigators: Liu, Bo
Econometrics-Machine Learning Nexus Conference: Advances in Causal Inference
Principal investigators: Wang, Tao
Keywords: Big Data; Causal Inference; Econometrics; Machine Learning; Policymaking.
Kernel-based modal regression for skewed or heavy-tailed data
Principal investigators: Wang, Tao
Keywords: Mode; Modal Regression; "Most Likely" Effect; Skewed Data; Heavy-Tailed Distributions; Robust and Efficient; Nonparametric Econometrics; Semiparametric Models; Machine Learning; Big Data
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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Profile data last refreshed on September 27, 2026 from the university directory, publication records and CIHR, NSERC and SSHRC funding.