The two main goals of this blog post is to introduce what the linear–quadratic regulator (LQR) framework is and to show how to solve …
The two main goals of this blog post is to introduce what the linear–quadratic regulator (LQR) framework is and to show how to solve …
For a specific project on the housing market (here), I had to analyze thousands of photos. To do that, I used a convolutional neural …
The logistic model (also called logit model) is a natural candidate when one is interested in a binary outcome. For instance, a …
In my quest for the perfect tool for reproducible science, I thought that the silver bullet was to wrap your code in a neat …
Coming from an Economics/Econometrics background, I have always been a bit puzzled by the way several Machine Learning (ML) textbooks I …
Finding solutions to economic models with heterogeneity and aggregate uncertainty is a notoriously difficult task. It is an active area …
In a previous post, I introduced the logic for the Linear Time Iteration (LTI) method (Pontus Rendahl (2017)). Now it’s time to …
The details of solving rational expectation models are somewhat tricky. Yet, a recent paper by Pontus Rendahl underlines that an easy …
During my PhD, I was lucky enough to secure access to a cluster maintained by a University. If your University or workplace does not …
With this post, my aim is to provide a non-technical introduction to parallel computing using …