https://github.com/matthieumeo/sphericov

Companion Jupyter notebook of the paper "Functional Estimation of Anisotropic Covariance and Autocovariance Operators on the Sphere"
https://github.com/matthieumeo/sphericov

covariance-kernel functional-data-analysis jupyter-notebook nonparametric-regression python3 tikhonov-regularization

Last synced: 13 days ago
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Companion Jupyter notebook of the paper "Functional Estimation of Anisotropic Covariance and Autocovariance Operators on the Sphere"

• Host: GitHub
• URL: https://github.com/matthieumeo/sphericov
• Owner: matthieumeo
• License: mit
• Created: 2021-12-23T14:16:05.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-09-23T07:44:20.000Z (over 2 years ago)
• Last Synced: 2024-12-03T16:43:54.639Z (2 months ago)
• Topics: covariance-kernel, functional-data-analysis, jupyter-notebook, nonparametric-regression, python3, tikhonov-regularization
• Language: Jupyter Notebook
• Homepage: https://arxiv.org/abs/2112.12694
• Size: 3.45 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

        
Instructions

############

This repository hosts the companion Jupyter notebook for the paper `"Functional Estimation of Anisotropic Covariance and Autocovariance Operators on the Sphere" `_, from Alessia Caponera, Julien Fageot, Matthieu Simeoni and Victor Panaretos.

The code was written by `Matthieu Simeoni `_. 

Scope

=====

This Jupyter notebook allows to reproduce the simulations, numerical experiments and plots of Section 6 of the paper. 

   

Installation

============

The notebook requires Python 3.9 or greater. It is developed and tested on x86_64 systems running MacOS and Linux.

Dependencies

------------

The notebook extra dependencies are listed in the file ``requirements.txt``.

It is recommended to install those extra dependencies in an Anaconda environment `Miniconda `_ or

`Anaconda `_. 

.. code-block:: bash

   >> conda create -n sphericov python=3.9

   >> conda activate sphericov

   >> pip install -r requirements.txt

Run the code

------------

Once the dependencies installed, you can run the companion notebook by executing the following commands: 

.. code-block:: bash

   >> git clone https://github.com/matthieumeo/sphericov

   >> cd /

   >> conda activate sphericov

   >> jupyter lab companion_nb.ipynb