Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...

Single-cell functional analysis enables scientists to examine the unique characteristics of each cell within organs, tissues, and cell cultures. Unlike bulk-cell analysis, single-cell analysis allows ...

Nonparametric regression for functional data provides a flexible statistical framework for modelling relationships between a scalar response and predictors that are inherently functional in nature.

A pioneering study introduces a functional data analysis (FDA) methodology to model the relationship between environmental factors and crop yields in year-round agriculture. Designed for crops like ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

Five-Year Overall Survival Analysis of the JIPANG Study: Pemetrexed or Vinorelbine Plus Cisplatin for Resected Stage II-IIIA Nonsquamous Non–Small-Cell Lung Cancer The majority of older patients ...

Satellite images from space are allowing scientists to delve deeper into the individual functions of different tropical forest canopies with new and surprising results. Understanding tree traits and ...