32 citations · 199 across the 22 of their papers we have counts for
3 papers · 1 filter
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han, Rebecca Willett, Anru R. Zhang
This paper describes a flexible framework for generalized low-rank tensor estimation problems that includes many important instances arising from applications in computational imag…
Localizing Changes in High-Dimensional Vector Autoregressive Processes
Daren Wang, Yi Yu, Alessandro Rinaldo +1
Autoregressive models capture stochastic processes in which past realizations determine the generative distribution of new data; they arise naturally in a variety of industrial, bi…
The False Discovery Rate for Statistical Pattern Recognition
Clayton Scott, Gowtham Bellala, Rebecca Willett
The false discovery rate (FDR) and false nondiscovery rate (FNDR) have received considerable attention in the literature on multiple testing. These performance measures are also ap…