Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..
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Updated
May 16, 2024 - Jupyter Notebook
Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..
SVInsight: A python package for calculating an exploratory social vulnerability index (SVI).
Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.
Package for temporal deconvolution of bulk RNA-seq samples using SVI
Investigate correlations between Covid-19 confirmed cases/deaths and selected social vulnerability indicators in the USA
COVID-19 Symptom Self-Assessment mockup tools is a recommendation on the next steps to follow, according to your condition when you believe you have been exposed to COVID-19 or have symptoms similar to COVID-19.
CDC Social Vulnerability Index (SVI) data for Rhode Island.
Volatility Model Documentation
Novel technique to fit a target distribution with a class of distributions using SVI (via NumPyro). Unlike standard SVI, our "data" is a distribution rather than a finite collection of samples.
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