Abstract: A variety of widely used Gaussian filters are formulated within the framework of statistical linear regression (SLR), where nonlinear measurement functions are approximated via least-squares ...
Rotated multivariate Linear Mixed Model (RmvLMM) is a powerful and scalable statistical framework for dual large-scale GWAS, applicable to biobank-scale samples and a large number of phenotypes.
Abstract: Quantum neural networks (QNNs) have shown remarkable potential due to their capability of representing complex functions within exponentially large Hilbert spaces. However, their application ...