R Package providing functions to calculate pseudo-ranks and pseudo-rank based nonparametric test statistics.

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 ...

Insect miRNAs can be transferred to their host plants upon feeding. This study shows that a conserved insect microRNA plays a ...

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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 ...

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 ...

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 $\ell _{2}$ ...

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

I combine designing learning algorithms with exploring their behavior in implementations on actual robots and in intelligent environments. My research interests include nonparametric learning, ...

BACKGROUND: Circular RNAs derived from both nuclear and mitochondrial genomes are identified in animal cells.

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 ...

Researchers evaluated demographic characteristics associated with survival trends in patients with squamous cell carcinoma of the upper esophagus.