Abstract: This letter proposes a variational Bayesian sparse decision-feedback equalizer (VB-SDFE) based on the recursive least squares (RLS) algorithm for underwater acoustic communications. The ...
Abstract: A class of iterative Bayesian estimation methods known as Type I methods use a variational representation of the posterior distribution. However, Type I methods can exhibit slow convergence ...
Outline In this tutorial I am going to present the use of SpeciesNetwork (Zhang et al. 2017), which is implemented as an add-on package for BEAST2 (Bouckaert et al. 2019) and allows the joint Bayesian ...
Understanding how to update beliefs from evidence is a foundational skill in statistics and machine learning. This project gives you a practical beginner workflow where you can: specify prior beliefs ...
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