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 ...

Abstract: Explicit latent variable models provide a flexible yet powerful framework for data synthesis, enabling controlled manipulation of generative factors. With latent variables drawn from a ...

Industry groups and drugmakers want the US Food and Drug Administration (FDA) to explicitly clarify that Bayesian statistical methods can be used for products beyond those intended for children and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

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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 ...

Clinical trials for a new drug can take years to complete, and cost up to hundreds of millions of dollars. New draft guidance from the U.S. Food and Drug Administration aims to make that process ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...