This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of British Columbia directory, so their courses may be missing. Find their university profile.
Research
Latest papers
From spark to conflagration: A multiscale thermodynamic-percolation framework for wildland-fire spread.
Physical review. E · 2026 · first author
Energy-based segmentation methods for images with non-Gaussian noise.
Scientific reports · 2025
Recent Advances in Statistical Theory and Applications.
Entropy (Basel, Switzerland) · 2023 · senior author
Latest funding
- $25,000
Gaussian graphical model estimation - theory and applications
NSERC · 2023 · Principal investigator
- $54,000
Nonparametric statistical methods based on graph theory
NSERC · 2022 · Principal investigator
- $108,000
Change-point detection - theory and applications
NSERC · 2016 · Principal investigator
7 publications.
From spark to conflagration: A multiscale thermodynamic-percolation framework for wildland-fire spread.
Shi X, Faizal M, Shabir A, Pourhassan B
Energy-based segmentation methods for images with non-Gaussian noise.
Zhong J, Du S, Shen C, Chen Y, Gao M, Naidu M, Shi X, Fu Y
Recent Advances in Statistical Theory and Applications.
Wong A, Shi X
Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection.
Krasnov D, Davis D, Malott K, Chen Y, Shi X, Wong A
Global analysis of the COVID-19 policy activity levels and evolution patterns: A cross-sectional study.
Chen M, Dong Y, Shi X, Zhuang J
Two-Sample Tests Based on Data Depth.
Shi X, Zhang Y, Fu Y
A New Class of Weighted CUSUM Statistics.
Shi X, Wang XS, Reid N
Gaussian graphical model estimation - theory and applications
Principal investigators: Shi, Xiaoping X
Keywords: Colored Gaussian graphical models; Gaussian Variational approximation; High-dimensional analysis; Laplace approximation; Markov chain Monte Carlo; Multivariate analysis; Normalizing constants; Saddlepoint approximation
Nonparametric statistical methods based on graph theory
Principal investigators: Shi, Xiaoping
Keywords: high-dimensional data; change-point detection; weighted cusum statistics; graph-based method; asymptotic distributions; expansions of distributions; multiple-sample comparison; hierarchical clustering; optimal cutting; penalized purity
Change-point detection - theory and applications
Principal investigators: Shi, Xiaoping
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
- Augustine Wong and Xiaoping Shi: 2 shared papers
- Yuejiao Fu and Xiaoping Shi: 2 shared papers
- Augustine Wong and Yuejiao Fu: 1 shared paper
- Mathematics
- Mathematics and Statistics
- Department of Mathematics and Statistics
Co-authors at University of British Columbia, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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