assess-covariance-method

What problem does it solve?

This Skill addresses the need for a comprehensive assessment of covariance methods, ensuring rigor and honesty in evaluating new or proposed estimators, scoring rules, and covariance methodologies.

Core Features & Use Cases

• Method Assessment: Rigorously assesses covariance estimators, scoring rules, and methodologies.
• Implementation to Contract: Guides the implementation of covariance methods, including subclassing BaseOnlineCovariance and implementing Assessor.
• Conformance: Ensures that the methods conform to non-negotiable invariants.
• Benchmarking: Benchmarks new methods against a registry of established methods.
• Out-of-Sample Validation: Validates methods using synthetic and real data.
• Inference: Offers guidance on statistical inference, including pairwise significance and handling of dependent loss differentials.
• Honest Reporting: Ensures accurate and transparent reporting of results.

Quick Start

Assess a new covariance method by installing the precise library with pip install precise[research] and following the protocol outlined in the SKILL.md file.