https://github.com/danyulll/wicmad.jl
This project implements a Bayesian nonparametric model for multivariate functional anomaly detection.
https://github.com/danyulll/wicmad.jl
anomaly-detection bayesian-nonparametrics functional-data-analysis
Last synced: 15 days ago
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This project implements a Bayesian nonparametric model for multivariate functional anomaly detection.
- Host: GitHub
- URL: https://github.com/danyulll/wicmad.jl
- Owner: Danyulll
- Created: 2025-10-28T01:20:42.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-12-18T22:12:23.000Z (7 months ago)
- Last Synced: 2025-12-21T22:32:29.799Z (7 months ago)
- Topics: anomaly-detection, bayesian-nonparametrics, functional-data-analysis
- Language: Julia
- Homepage: https://danyulll.github.io/assets/projects/WICMAD%20Project/wicmad_method_example.html
- Size: 69.7 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# WICMAD.jl
Wecolme to WICMAD (**W**avelet **I**ntrinsic **C**o-regionalization **M**odel **A**nomaly **D**etector). This repository showcases my work in multivariate functional anomaly detection and was completed as part of my Master's degree in Mathematics and Statistics at McGill University. For a walkthrough of the model, see the notebook [here](https://danyulll.github.io/assets/projects/WICMAD%20Project/wicmad_method_example.html).