1 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
CLaRe: Compact near-lossless Latent Representations of High-Dimensional Object Data
Emma Zohner, Edward Gunning, Giles Hooker +1
Latent feature representation methods play an important role in the dimension reduction and statistical modeling of high-dimensional complex data objects. However, existing approac…
Covariance Assisted Multivariate Penalized Additive Regression (CoMPAdRe)
Neel Desai, Veerabhadran Baladandayuthapani, Russell T. Shinohara +1
We propose a new method for the simultaneous selection and estimation of multivariate sparse additive models with correlated errors. Our method called Covariance Assisted Multivari…
Scalable Function-on-Scalar Quantile Regression for Densely Sampled Functional Data
Yusha Liu, Meng Li, Jeffrey S. Morris
Functional quantile regression (FQR) is a useful alternative to mean regression for functional data as it provides a comprehensive understanding of how scalar predictors influence…