Abstract: The measurement of dynamic system is corrupted by colored noise and involved heavy-tailed characteristics simultaneously for target tracking in practice. Mostly existing work employs the the ...

Abstract: This paper introduces the Variational Bayesian Robust Adaptive Kalman Filter with Forward Estimation (VBRAKF), a novel algorithm designed to enhance state estimation in dynamic systems. The ...

In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. We construct a conditional search ...

Empirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach ...