Researchers in fields from ecology to neuroscience analyze correlations between pairs of time series, often working with nonstationary data, wherein statistical properties change over time. This ...

Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of ...

However, the clutter background in SAR images is complicated and variable. When the actual clutter background deviates from the assumed statistical distribution, the performance of the parametric CFAR ...

We address these challenges by introducing nonparametric clustering of single-cell populations (NCLUSION): an infinite mixture model that leverages Bayesian sparse priors to identify marker genes ...

Abstract: This study investigates a multi-task estimation under joint sparsity. We consider estimating multiple functions when functions of interest share common sparsity patterns. An $\ell _{2}$ ...

The ANOVA analysis of variance test is a fantastic tool when your data follows the normal distribution. Should your data fall outside of this category, you have the Kruskal-Wallis test. Overview: What ...