Professor | Yu Mou Qiu | Asia Growth Partners

Name	Yu Mou Qiu
Contact Information	qiuyumou at math dot pku dot edu dot cn
Language ability	English, Chinese
Province	Beijing

Name

Yu Mou Qiu

Contact Information

qiuyumou at math dot pku dot edu dot cn

Language ability

English, Chinese

Province

Beijing

University/Lab Affiliation and Title	Peking University
Faculty	Mathematical Sciences
Academic Background & Achievements	2010 – 2014, PhD in Statistics, Iowa State University 2008 – 2010, Master of Economics in Statistics, Peking University 2004 – 2008, Bachelor of Science in Statistics, Beijing Normal University
Work Experience	2023 – Present, Peking University, School of Mathematical Sciences, Researcher 2022 – 2023, Iowa State University, Department of Statistics, Associate Professor 2018 – 2022, Iowa State University, Department of Statistics, Assistant Professor 2014 – 2018, University of Nebraska-Lincoln, Department of Statistics, Assistant Professor
Awards	Snedecor Award, Department of Statistics, Iowa State University, 2013 Laha Travel Award, Institute of Mathematical Statistics, 2013 National First-Class Scholarship, Ministry of Education of China, 2007

University/Lab Affiliation and Title

Peking University

Faculty

Mathematical Sciences

Academic Background & Achievements

Work Experience

2023 – Present, Peking University, School of Mathematical Sciences, Researcher
2022 – 2023, Iowa State University, Department of Statistics, Associate Professor
2018 – 2022, Iowa State University, Department of Statistics, Assistant Professor
2014 – 2018, University of Nebraska-Lincoln, Department of Statistics, Assistant Professor

Awards

Areas of Focus	High-dimensional data analysis Missing data analysis Causal inference Statistical methods in precision agriculture and epidemiological models
Publications	Inference on Multi-level Partial Correlations based on Multi-subject Time Series Data, Qiu, Y. and Zhou, X. H., 2022 Inference of Heterogeneous Treatment Effects for Observational Data with High-Dimensional Covariates, Qiu, Y., Tao, J. and Zhou, X. H., 2021 Detecting Rare and Faint Signals via Thresholding Maximum Likelihood Estimators, Qiu, Y., Chen, S. X. and Nettleton, D., 2018 Band Width Selection for High-dimensional Covariance Matrix Estimation, Qiu, Y. and Chen, S. X., 2015 Test for Bandedness of High-dimensional Covariance Matrices and Bandwidth Estimation, Qiu, Y. and Chen, S. X., 2012

Areas of Focus

High-dimensional data analysis
Missing data analysis
Causal inference
Statistical methods in precision agriculture and epidemiological models

Publications

Inference on Multi-level Partial Correlations based on Multi-subject Time Series Data, Qiu, Y. and Zhou, X. H., 2022
Inference of Heterogeneous Treatment Effects for Observational Data with High-Dimensional Covariates, Qiu, Y., Tao, J. and Zhou, X. H., 2021
Detecting Rare and Faint Signals via Thresholding Maximum Likelihood Estimators, Qiu, Y., Chen, S. X. and Nettleton, D., 2018
Band Width Selection for High-dimensional Covariance Matrix Estimation, Qiu, Y. and Chen, S. X., 2015
Test for Bandedness of High-dimensional Covariance Matrices and Bandwidth Estimation, Qiu, Y. and Chen, S. X., 2012

High-Dimensional Data Analysis Missing Data Causal Inference Statistical Methods Precision Agriculture Epidemiology Models Applications

Songxi Chen - Peking University

Li Ruo - Peking University

Mingyao Ai - Peking University

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