Ever wondered how engineers and researchers can test the strength and durability of concrete before it’s even mixed? Enter VCCTL (Virtual Cement and Concrete Testing Laboratory), a powerful tool that allows you to model and analyze the mechanical properties of concrete before it’s even mixed. Let’s dive into how you can leverage VCCTL to develop […]
Cement and Concrete Modeling with VCCTL: A Step-by-Step Guide Leer más »
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).
Bayesian Fitting of Data from Three Groups with Parallel Linear Regression Lines Leer más »
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
Programming a Bayesian Statistical Fit in Python for Linear Regression Leer más »