Peter X.-K. Song

Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes

Emily C. Hector, Peter X.-K. Song, 2020, J. Mach. Learn. Res..

A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis

Emily C. Hector, Peter X.-K. Song, P. Song, 2019, Journal of the American Statistical Association.

Sparse multivariate factor analysis regression models and its applications to integrative genomics analysis

Yan Zhou, Peter X.-K. Song, Pei Wang, 2017, Genetic epidemiology.

An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China

Marisa C. Eisenberg, Lu Tang, Daniel Barker, 2021, Journal of Data Science.

Renewable estimation and incremental inference in generalized linear models with streaming data sets

Peter X.-K. Song, Lan Luo, P. X. Song, 2019, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Distributed simultaneous inference in generalized linear models via confidence distribution

Ling Zhou, Lu Tang, Peter X.-K. Song, 2020, J. Multivar. Anal..

Joint integrative analysis of multiple data sources with correlated vector outcomes.

Emily C. Hector, Peter X.-K. Song, 2020 .

Parallel-and-stream accelerator for computationally fast supervised learning

Emily C. Hector, Peter X.-K. Song, Lan Luo, 2021, Comput. Stat. Data Anal..

Supervised Homogeneity Fusion: a Combinatorial Approach pdf

Peter X.-K. Song, Wen Wang, Ling Zhou, 2022, ArXiv.

A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States

Peter X.-K. Song, Lan Shi, Soumik Purkayastha, 2020 .