Molecular vibrational frequency analysis plays an important role in theoretical and
computational chemistry. However, in many cases, the analytical frequencies are …

An endeavor central to precision medicine is predictive biomarker discovery; they define
patient subpopulations which stand to benefit most, or least, from a given treatment. The …

Background: Amyloid-ß (Aß) evaluation in amnestic mild cognitive impairment (aMCI)
patients is important for predicting conversion to Alzheimer's disease. However, Aß …

Identifying interaction effects is fundamentally important in many scientific discoveries and
contemporary applications, but it is challenging since the number of pairwise interactions …

This paper investigates the efficient solution of penalized quadratic regressions in high-
dimensional settings. A novel and efficient algorithm for ridge-penalized quadratic …

Fr\'echet regression has received considerable attention to model metric-space valued
responses that are complex and non-Euclidean data, such as probability distributions and …

Detecting the interaction effects among the predictors on the response variable is a crucial
step in numerous applications. We first propose a simple method for sure screening …

High-dimensional matrix-valued data is common in scientific and engineering studies and its
classification is a significant topic in current statistics. In practice, the discriminative signals of …

An innovated model‐free interaction screening procedure called the MCVIS is proposed for
high dimensional data analysis. Specifically, we adopt the introduced MCV index for …

Multimodal data are now prevailing in scientific research. One of the central questions in
multimodal integrative analysis is to understand how two data modalities associate and …