Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings

no code implementations • 25 Jan 2022 • Abhishek Chakrabortty, Guorong Dai, Raymond J. Carroll

We propose a family of semi-supervised estimators for the response quantile(s) based on the two data sets, to improve the estimation accuracy compared to the supervised estimator, i. e., the sample quantile from the labeled data.

Dimensionality Reduction Imputation

Data Integration with High Dimensionality

no code implementations • 3 Oct 2016 • Xin Gao, Raymond J. Carroll

We consider a problem of data integration.

Data Integration Vocal Bursts Intensity Prediction