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robustcov 0.0.1 documentation
robustcov 0.0.1 documentation

User guide

  • Installation
  • Quickstart
  • Estimator guide
  • Use-case gallery
    • Finance and risk
      • Finance-style heavy-tail covariance
      • Portfolio covariance stress comparison
    • Fraud, security, and network anomalies
      • Fraud-style tabular anomaly screening
      • Network-traffic anomaly simulation
    • Sensors, industrial monitoring, and quality control
      • Sensor anomaly detection
      • Predictive-maintenance monitoring
      • Quality-control monitoring
    • Biomedical, image, and embedding data
      • Biomedical / signal-window anomaly detection
      • Image-feature one-class anomaly detection
      • Text / embedding outlier screening
    • Real ML datasets
      • Breast-cancer screening as anomaly ranking
      • Digits one-class anomaly detection
      • Wine class screening
      • Multimodal anomaly detection
    • Robust ML preprocessing
      • Robust preprocessing before classification
    • Finance-style heavy-tail covariance
    • Portfolio covariance stress comparison
    • Fraud-style tabular anomaly screening
    • Network-traffic anomaly simulation
    • Sensor anomaly detection
    • Predictive-maintenance monitoring
    • Quality-control monitoring
    • Biomedical / signal-window anomaly detection
    • Image-feature one-class anomaly detection
    • Text / embedding outlier screening
    • Breast-cancer screening as anomaly ranking
    • Digits one-class anomaly detection
    • Wine class screening
    • Robust preprocessing before classification
    • Multimodal anomaly detection
  • Benchmark gallery
    • Small-sample heavy-tail benchmark
    • Speed comparison
    • OpenMP scaling benchmark
    • Anomaly detection baselines
    • Hard contamination scenarios
  • Algorithms
  • Diagnostics
  • Optional OpenMP acceleration
  • FAQ

Reference and evidence

  • API reference
  • API stability
  • Robust statistics background
  • External and Kaggle gallery
    • Credit-card fraud result
    • Predictive maintenance
    • IEEE-CIS fraud
    • Medical screening
    • Finance market-stress anomaly detection
    • Rolling-window finance anomaly detection
  • References

Extended material

  • Notebooks
  • Kaggle and external dataset roadmap
  • Kaggle and external examples
  • External demo workflow
  • Project readiness notes
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