Defining Statistical Models in Jax?

The linked article is about defining statistical models using the JAX library in Python. It discusses how JAX allows for the creation of custom statistical models by defining the model's log-probability function, which can then be optimized using gradient-based techniques. The article provides an example of a Poisson regression model and demonstrates how to implement it using JAX, highlighting the flexibility and power of this approach compared to traditional model-fitting methods.