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This repository contains files related to the Python programming workshop conducted for astrophysics and cosmology work at Nagpur. The repository includes sample codes, datasets, and presentations used during the workshop. These materials can be useful for beginners who want to learn Python programming for astrophysics and cosmology work.
Two different classification task solved with bayesian neural networks using PyMC3 as part of my MSc thesis. It was inspired by Thomas Wiecki blog post, thanks for his contribution.
Identification of isotopic niches by considering both intra- and interindividual variability (a novel hierarchical Basyesian model). Measure the isotopic niche overlap. The method is ajusted to isotopic data with intra-individual variability (e.g. measures on whiskers, feathers, tooth).
Repository containing additional files for the paper 'A Bayesian spatio-temporal study of association between meteorological factors and the spread of COVID-19'