Here, I provide brief and digestible blogs covering various aspects of modeling. From the foundational principles of hierarchical/multilevel modeling (spanning both Bayesian and Frequentist approaches) to the nitty-gritty of advanced modeling techniques, including applications with sequential sampling modeling, neural network modeling, and other machine learning techniques. In addition to insightful explanations, you'll find practical guides about various modeling toolboxes.
My goal is to peel back the layers of complexity in modeling, equipping you with the practical and technical knowledge to grasp the intricate mechanics at play. Let's explore and unlock the secrets of computational modeling together!
I currently provide tutorials and code snippets on my GitHub account. I will soon add more tutorials and code snippets for different modeling toolboxes.
