This study introduces a robust parameter estimation method for the Skew-Wiener model using Approximate Bayesian Computation with Gibbs sampling (ABC-Gibbs), providing an alternative to the Expectation ...

A PyTorch-based Bayesian Network framework designed to handle continuous data, enabling continuous inference with continuous CPDs. It leverages GPU acceleration and batch operations, and is intended ...

For years, manufacturing and engineering companies have been using digital models of products and systems for enhanced design ...

Abstract: From first principles, we derive a quadratic nonlinear, first-order dynamical system capable of performing exact Bayes-Markov inferences for a wide class of biologically plausible ...

Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models" ...

The integration of Bayesian statistics into modern analytics has redefined industries, and Alexandre Andorra’s work exemplifies its transformative potential. With expertise spanning sports analytics, ...

A differentiable variant of the Gillespie algorithm enables gradient-based optimization for stochastic chemical kinetics, facilitating efficient parameter estimation and the design of biochemical ...