Skip to main content

Regularised covariance regression software based on Hoff and Niu (2012).

Project description

Python CovRegpy Package

Regularised covariance regression software based on Hoff and Niu (2012) - see https://arxiv.org/pdf/1102.5721.

This package was developed out of research performed by Cole van Jaarsveldt, Gareth W. Peters, Matthew Ames, and Mike Chantler. This package was built entirely using Python 3.11.5 - Python guarantees backwards compatibility which should ensure that this software package functions as expected on all future Python versions. See:

van Jaarsveldt, C., Peters, G., Ames, M., & Chantler, M. (2024) Package CovRegpy: Regularized covariance regression and forecasting in Python. Annals of Actuarial Science, First View. doi:10.1017/S1748499524000101 url: https://dx.doi.org/10.1017/S1748499524000101

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

CovRegpy-0.0.7.tar.gz (25.4 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page