Nature

An expectation–maximization algorithm for the Lasso estimation of quantitative trait locus effects

The least absolute shrinkage and selection operator (Lasso) estimation of regression coefficients can be expressed as Bayesian posterior mode estimation of the regression coefficients under various ...
Nature

Estimation of haplotype associated with several quantitative phenotypes based on maximization of area under a receiver operating characteristic (ROC) curve

An algorithm for estimating haplotypes associated with several quantitative phenotypes is proposed. The concept of a receiver operating characteristic (ROC) curve was introduced, and a linear ...
IEEE

Evidence Maximization-Based Low-Complexity Channel Estimation for OTFS Systems With Doubly-Fractional Effects

Abstract: This letter proposes a low-complexity off-grid inverse-free sparse Bayesian learning (OG-IFSBL) algorithm for OTFS channel estimation that avoids computationally prohibitive matrix ...
IEEE

A priority-ordered swapping algorithm for submodular maximization problems

Abstract: In this paper, we delve into the monotone sub-modular maximization problem with a cardinality constraint. We propose a priority-ordered swapping algorithm that iteratively improves the ...