This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a York University directory, so their courses may be missing. Find their university profile.
Research
Latest papers
A Fast Multiple Change-Point Detection Method via Generalized Nearly Isotonic Optimization.
Entropy (Basel, Switzerland) · 2026 · senior author
Multi-Platform Multivariate Regression with Group Sparsity for High-Dimensional Data Integration.
Entropy (Basel, Switzerland) · 2026 · senior author
A constrained robust Markov regime-switching model for long-term risk evaluation.
Journal of applied statistics · 2026
Latest funding
- $60,000
Statistical Modelling and Inference with High-Dimensional, Complex Data
NSERC · 2023 · Principal investigator
- $258,000
Topics in Statistical Modelling and Inference with High-Dimensional, Complex Data
NSERC · 2017 · Principal investigator
- $105,000
Topics in Statistical Modelling and Inference
NSERC · 2012 · Principal investigator
19 publications.
A Fast Multiple Change-Point Detection Method via Generalized Nearly Isotonic Optimization.
Wang L, Wang M, Jin B, Wu Y
Multi-Platform Multivariate Regression with Group Sparsity for High-Dimensional Data Integration.
Qin S, Zhang G, Gao X, Wu Y
A constrained robust Markov regime-switching model for long-term risk evaluation.
Qin S, Guo B, Wu Y, Xie H, Dong J
Bootstrap Confidence Intervals for Multiple Change Points Based on Two-Stage Procedures.
Hou L, Jin B, Wu Y, Wang F
A study of the attenuation stage of a global infectious disease.
Sun T, Jin B, Wu Y, Bao J
The Financial Risk Measurement EVaR Based on DTARCH Models.
Liu X, Tan Z, Wu Y, Zhou Y
Change-Point Detection for Multi-Way Tensor-Based Frameworks.
Qin S, Zhou G, Wu Y
Change-Point Detection in a High-Dimensional Multinomial Sequence Based on Mutual Information.
Xiang X, Jin B, Wu Y
A novel group VIF regression for group variable selection with application to multiple change-point detection.
Ding H, Zhang Y, Wu Y
Estimation of the Covariance Matrix in Hierarchical Bayesian Spatio-Temporal Modeling via Dimension Expansion.
Sun B, Wu Y
Statistical Modelling and Inference with High-Dimensional, Complex Data
Principal investigators: Wu, Yuehua
Keywords: cluster analysis; data mining; financial econometrics; missing data; model selection; multiple change-point analysis; multivariate analysis; robust statistics; spatio-temporal modelling; time series
Topics in Statistical Modelling and Inference with High-Dimensional, Complex Data
Principal investigators: Wu, Yuehua
Topics in Statistical Modelling and Inference
Principal investigators: Wu, Yuehua
Topics in M-estimation, model selection and modelling
Principal investigators: Wu, Yuehua
Topics in model selection and M-estimation
Principal investigators: Wu, Yuehua
Topics in model selection and M-estimation
Principal investigators: Wu, Yuehua
Statistics compute server
Principal investigators: Czado, Claudia
Statistical consulting service
Principal investigators: Fox, John
General M-estimation
Principal investigators: Wu, Yuehua
M-estimation
Principal investigators: Wu, Yuehua
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Xiaoping Shi and Yuehua Wu: 2 shared papers
- Xin Gao and Yuehua Wu: 1 shared paper
- Mathematics and Statistics
- Department of Mathematics and Statistics
Co-authors at York University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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