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Bayesian Fitting of Data from Three Groups with Parallel Linear Regression Lines

When fitting data distributed across multiple groups, Bayesian modeling offers a powerful approach to account for uncertainty in parameter estimation. In this blog, we’ll walk through how to fit data from three different groups where each group can be described by a linear regression model, and the three regression lines are parallel).

Programming a Bayesian Statistical Fit in Python for Linear Regression

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Bayesian statistical fitting is a powerful technique for data analysis that allows us to incorporate prior information and update it with observed evidence. In this blog, we’ll explain how to perform a Bayesian fit for linear regression using Python, with the goal of estimating the model parameters while quantifying uncertainty. This tutorial describes step by

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