Publications

Motion-Prediction-Based Wireless Scheduling for Interactive Panoramic Scene Delivery

Mobile Virtual Reality (VR) and panoramic video streaming rely on interactive panoramic scene delivery to provide desirable user …

The RITA-T (Rapid Interactive Screening Test for Autism in Toddlers) Community Model to Improve Access and Early Identification of Autism in Young Children

Objective: To evaluate improved identification and the generalization of the RITA-T (Rapid interactive Screening Test for Autism in …

Identification of significant gene expression changes in multiple perturbation experiments using knockoffs

Population quantiles are important parameters in many applications. Enthusiasm for the development of effective statistical inference …

Interrater and Intrarater Agreement of Epileptic Encephalopathy Among Electroencephalographers for Children with Infantile Spasms Using the Burden of Amplitudes and Epileptiform Discharges (BASED) EEG Grading Scale: Study Design and Statistical Considerations

Background: Infantile spasms are a serious epilepsy syndrome with a poor prognosis. Electroencephalography (EEG) has been a key …

Changes in rate and socioeconomic inequality of cervical cancer screening in northeastern China from 2013 to 2018

Objective: Cervical cancer, the fourth leading cancer diagnosed in women, has brought great attention to cervical cancer screening to …

Empirical likelihood ratio test on quantiles under a density ratio model

Population quantiles are important parameters in many applications. Enthusiasm for the development of effective statistical inference …

Motion-Prediction-based Wireless Scheduling for Multi-User Panoramic Video Streaming

Multi-user panoramic video streaming demands 4~6× bandwidth of a regular video with the same resolution, which poses a significant …

Fishing and habitat condition differentially affect size spectra slopes of coral reef fishes

Marine food webs are structured through a combination of top-down and bottom-up processes. In coral reef ecosystems, fish size is …

Deep-gKnock: Nonlinear group-feature selection with deep neural networks

Feature selection is central to contemporary high-dimensional data analysis. Group structure among features arises naturally in various …

Envelope-based sparse partial least squares

Sparse partial least squares (SPLS, Chun and Keles, 2010) is a widely used method that performs dimension reduction and variable …

Envelope quantile regression

Multi-parameter one-sided hypothesis test problems arise naturally in many applications. We are particularly interested in effective …

Multi-Parameter One-Sided Monitoring Tests

Multi-parameter one-sided hypothesis test problems arise naturally in many applications. We are particularly interested in effective …

Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression

The envelope model allows efficient estimation in multivariate linear regression. In this paper, we propose the sparse envelope model, …