141 citations · 297 across the 30 of their papers we have counts for
3 papers · 1 filter
MARS via LASSO
Dohyeong Ki, Billy Fang, Adityanand Guntuboyina
Multivariate adaptive regression splines (MARS) is a popular method for nonparametric regression introduced by Friedman in 1991. MARS fits simple nonlinear and non-additive functio…
Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood
Jake A. Soloff, Adityanand Guntuboyina, Bodhisattva Sen
Multivariate, heteroscedastic errors complicate statistical inference in many large-scale denoising problems. Empirical Bayes is attractive in such settings, but standard parametri…
A Nonparametric Maximum Likelihood Approach to Mixture of Regression
Hansheng Jiang, Adityanand Guntuboyina
We study mixture of linear regression (random coefficient) models, which capture population heterogeneity by allowing the regression coefficients to follow an unknown distribution…