11 citations · 18 across the 4 of their papers we have counts for
4 papers
On Statistical Inference with High Dimensional Sparse CCA
Nilanjana Laha, Nathan Huey, Brent Coull +1
We consider asymptotically exact inference on the leading canonical correlation directions and strengths between two high dimensional vectors under sparsity restrictions. In this r…
CVEK: Robust Estimation and Testing for Nonlinear Effects using Kernel Machine Ensemble
Wenying Deng, Jeremiah Zhe Liu, Erin Lake +1
The R package CVEK introduces a suite of flexible machine learning models and robust hypothesis tests for learning the joint nonlinear effects of multiple covariates in limited sam…
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes
Jeremiah Zhe Liu, Brent Coull
This work constructs a hypothesis test for detecting whether an data-generating function belongs to a specific reproducing kernel Hilbert space $\mathcal{H}_…
Nonlinear predictive latent process models for integrating spatio-temporal exposure data from multiple sources
Nikolay Bliznyuk, Christopher J. Paciorek, Joel Schwartz +1
Spatio-temporal prediction of levels of an environmental exposure is an important problem in environmental epidemiology. Our work is motivated by multiple studies on the spatio-tem…