The year 1999 was a standout year for Hollywood movies. Perhaps the imminent threat of Y2K really released people’s creative juices. In that year, we got the Star Wars prequel classic The Phantom ...

Abstract: We study the statistical decision process of detecting the low-rank signal from various signal-plus-noise type data matrices, known as the spiked random matrix models. We first show that the ...

We know why you’re here, reader. We know what you’ve been doing. We know why you hardly sleep, why you live alone, and why, night after night, you sit at your computer. We know because we were once ...

Properties from random matrix theory allow us to uncover naturally embedded signals from different data sets. While there are many parameters that can be changed, including the probability ...

MICSI-RMT is a significant breakthrough as the first market solution designed to enhance the signal-to-noise ratio (SNR) for diffusion and functional MRI. Diffusion MRI involves the exponential signal ...

This study uses random matrix theory to provide mathematical criteria determining whether network indeterminacy—the unpredictability of perturbation outcomes via complex networks—emerges in ecological ...

Scientists have used random matrix theory to theoretically show that neutrino mass hierarchy can be mathematically explained. Random matrix theory helps explain neutrino mass differences, supporting ...