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

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 ...

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 $\ell _{2}$ ...

Indeed, only four properties whose data showed a normal distribution, thus justifying the use of parametric tests. However, two of them (subsidence and gravel/sand ratio) whose data did not follow a ...

The Brooklyn, New York native passed away Monday due to a short illness but is remembered by many who knew him throughout his ...

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

Abstract: We propose SDORE, a Semi-supervised Deep SObolev REgressor, for the nonparametric estimation of the underlying regression function and its gradient. SDORE employs deep ReQU neural networks ...

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

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