bayesian-anomaly-detection - Bayesian anomaly detection for data
Detect anomalies in data using Bayesian inference and per-point probability estimation
Tags
Updated: 2026-06-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- identify anomalies
- flag outliers
- estimate anomaly probabilities
- compute robust parameters
- modify likelihood function
- collect epsilon masks
Inputs
- dataset with outliers
- parametric model
- likelihood function
Outputs
- per-point anomaly probabilities
- robust parameter estimates
- epsilon masks
Requirements
- Python environment
- sampler (MCMC, nested sampling)
