In this repo you will find the python code to fit the cosmological model against various data sets including SN, CMB, CC, BAO.

This repository contains the code used to perform the analysis described in the paper "Bayesian evidence for spectral lag transition due to Lorentz Invariance Violation for 32 Fermi/GBM Gamma-ray Bursts" (https://www.sciencedirect.com/science/article/pii/S2214404823000460). The code is written in Python 3.10

Integrated Bayesian Predictive Maintenance (IBPdM) is a reproducible research software implementation for Bayesian MTBF inference, MTTR simulation and inference, preventive-maintenance optimization decision managament, and machine learning model validation governance for airport terminal electronic equipment.