World's Best Scientists 2026 revealed!
Song Xi Chen

Song Xi Chen

D-Index & Metrics

Mathematics

D-Index
40
Citations
7609
World Ranking
2026
National Ranking
109

Research.com Recognitions

  • 2009 - Fellow of the American Statistical Association (ASA)

Overview

Song Xi Chen is affiliated with Peking University in China and has contributed extensively to the fields of Environmental Science and Mathematics. Their research spans multiple subfields including Statistics and Probability, Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, and Modeling and Simulation.

The major topics of Song Xi Chen's work include:

  • Air Quality and Health Impacts
  • COVID-19 epidemiological studies
  • Atmospheric chemistry and aerosols
  • Statistical Methods and Inference
  • COVID-19 Pandemic Impacts
  • Air Quality Monitoring and Forecasting
  • Atmospheric and Environmental Gas Dynamics

Frequent co-authors collaborating with Song Xi Chen are:

  • Yumou Qiu
  • Yuru Zhu
  • Jia Gu
  • Yaxuan Huang
  • Haoxuan Sun

Song Xi Chen has published in several notable venues, including:

  • arXiv (Cornell University)
  • The Annals of Statistics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Atmospheric Environment
  • Environmetrics

Selected recent papers authored or co-authored by Song Xi Chen include:

  • "Estimating the aboveground biomass of coniferous forest in Northeast China using spectral variables, land surface temperature and soil moisture," 2021, The Science of The Total Environment
  • "Tracking and Predicting COVID-19 Epidemic in China Mainland," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Relative importance of meteorological variables on air quality and role of boundary layer height," 2021, Atmospheric Environment
  • "Tracking Reproductivity of COVID-19 Epidemic in China with Varying Coefficient SIR Model," 2021, Journal of Data Science
  • "Distributed statistical inference for massive data," 2021, The Annals of Statistics

In recognition of professional contributions, Song Xi Chen was awarded the distinction of Fellow of the American Statistical Association in 2009.

Best Publications

  • Beta kernel estimators for density functions

    Song Xi Chen

  • Probability Density Function Estimation Using Gamma Kernels

    Song Xi Chen

  • Tests for High-Dimensional Covariance Matrices

    Song Xi Chen;Li Xin Zhang;Ping Shou Zhong

  • Assessing Beijing's PM2.5 pollution: Severity, weather impact, APEC and winter heating

    Xuan Liang;Tao Zou;Bin Guo;Shuo Li

  • Smoothed empirical likelihood confidence intervals for quantiles

    Song Xi Chen;Peter Hall

  • Two sample tests for high-dimensional covariance matrices

    Jun Li;Song Xi Chen

  • Nonparametric estimation of copula functions for dependence modelling

    Song Xi Chen;Tzee-Ming Huang

  • Nonparametric Estimation of Expected Shortfall

    Song Xi Chen

  • Cautionary tales on air-quality improvement in Beijing.

    Shuyi Zhang;Bin Guo;Anlan Dong;Jing He

  • Nonparametric Inference of Value-at-Risk for Dependent Financial Returns

    Song Xi Chen;Cheng Yong Tang

  • Parameter estimation and bias correction for diffusion processes

    Cheng Yong Tang;Song Xi Chen;Song Xi Chen

  • A review on empirical likelihood methods for regression

    Song Xi Chen;Song Xi Chen;Ingrid Van Keilegom

  • PM2.5 Data Reliability, Consistency and Air Quality Assessment in Five Chinese Cities†

    Xuan Liang;Shuo Li;Shuyi Zhang;Hui Huang

  • EMPIRICAL LIKELIHOOD FOR ESTIMATING EQUATIONS WITH MISSING VALUES

    Dong Wang;Song Xi Chen

  • Empirical Likelihood Confidence Intervals for Linear Regression Coefficients

    S.X. Chen

  • On the accuracy of empirical likelihood confidence regions for linear regression model

    Song Xi Chen

  • Empirical likelihood confidence intervals for nonparametric density estimation

    Song Xi Chen

  • Tests for high-dimensional regression coefficients with factorial designs

    Ping Shou Zhong;Song Xi Chen

  • Effects of data dimension on empirical likelihood

    Song Xi Chen;Liang Peng;Ying-Li Qin

  • An empirical likelihood goodness-of-fit test for time series

    Song Xi Chen;Wolfgang Härdle;Ming Li

Frequent Co-Authors

Jiti Gao
Jiti Gao Monash University
Liang Peng
Liang Peng Georgia State University
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Aurore Delaigle
Aurore Delaigle University of Melbourne
Dan Nettleton
Dan Nettleton Iowa State University
Yuming Guo
Yuming Guo Monash University
Paul S. F. Yip
Paul S. F. Yip University of Hong Kong

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