Faculty

Institution

Unit

Venue

Zhengyuan Zhu

Professor Director of the Center for Survey Statistics and Methodology

Iowa State University

Affiliations

College of Liberal Arts and Sciences

Statistics

Zhengyuan Zhu is currently serving as a College Of Liberal Arts And Sciences Professor Director of the Center for Survey Statistics and Methodology at Iowa State University.

Honors

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Experiences

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Education

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Zhengyuan Zhu

Iowa State University

Professor Director of the Center for Survey Statistics and Methodology

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statistics data science environmental science earth science remote sensing applied statistics spatial analysis machine learning earth observation data earth observation climatology climate change statistical methodology atmospheric science atmospheric research agricultural sciences time series real-time data estimation theory km resolution conterminous united states climatic change earth system science urban geography scientific data plant science bibliometrics urban climate applied geography data security optical remote sensing statistical analysis anomaly detection satellite meteorology spatial science surface temperature dataset global dataset atmospheric environment atmospheric measurement technique hydrometeorology data privacy livestock science benchmark datasets hydrological sciences statistical science network theory distributed learning spatial sampling design communication-efficient edge learning small area estimation geodesy geospatial mapping spatial data acquisition field observations satellite measurements parameter estimation meteorological measurements internet traffic analysis regional geology soil erosion soil science graphical analysis computational visualization agricultural management spatio-temporal models numerical weather prediction weather disaster landsat data air temperature dataset covariance function multivariate functional data daily maximum long-range dependence analysis internet traffic singular value decomposition infill asymptotic framework spatial data management geography geospatial data geographical information science

Notable Scholarly Works

Notable Federal Grants

Collaborators

Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso. Journal of Computational and Graphical Statistics (2025)

Xin ZhangShan YuZhengyuan ZhuXin Wang

bivariate splineforest lassospatial analysismachine learningdata sciencespatial ecologyapplied mathematics

Improving Assessment of Population Exposure and Health Impacts to Pm 2.5 With High Spatial and Temporal Data. GIScience & Remote Sensing (2024)

Xia ZhaoYuyu ZhouXi LiTao ZhangYueying WangZhengyuan ZhuKai ZhangDeren Li

environmental sciencegeographical information scienceenvironmental healthremote sensinghigh spatialpopulation exposuregeographic information systemspublic healthhealth impacts

Mapping Conservation Practices via Deep Learning: Improving Performance via Hillshade Imagery, Sampling Design, and Centerline Dice Loss. Statistics and data science in imaging. (2024)

Charles J. LabuzzettaZhengyuan Zhu

deep learningcenterline dice lossstatisticsdata sciencehillshade imageryconservation practices

Resampling Method for Generalized One-Per-Stratum Sampling Designs. Statistica Sinica (2024)

Zhonglei WangZhengyuan Zhu

statistical inferencestatisticsstatistical theorysamplingstatistical methodologysampling (statistics)applied statistics

Spatially Explicit Downscaling and Projection of Population in Mainland China. The Science of The Total Environment (2024)

Wenru XuYuyu ZhouHannes TaubenböckEleanor C. StokesZhengyuan ZhuFeilin LaiXuecao LiXia Zhao

statisticsenvironmental scienceprojection systemspopulation ecologyclimate projectionsforecastinggeographyspatial demographyclimate changeenvironmental modellingdemographic forecastingdemographytotal environment

Clustered Coefficient Regression Models for Poisson Process With an Application to Seasonal Warranty Claim Data. Technometrics (2023)

Xin WangXin ZhangZhengyuan Zhu

statisticspoisson processcoefficient regression modelsclusteringdata sciencepsychometricsapplied mathematicseconometricsapplied statistics

Efficient Water-Saving Irrigation, Space Efficiency and Agricultural Development — Study Based on Spatial Stochastic Frontier Model. Journal of Systems Science and Complexity (2023)

Aihua HanJian HuangXin WangZhengyuan Zhu

systems modelingefficient water-saving irrigationsystems engineeringspace efficiencyagricultural developmentsystem science

Equating Nhanes Monitor-Based Physical Activity to Self-Reported Methods to Enhance Ongoing Surveillance Efforts. Medicine & Science in Sports & Exercise (2023)

GREGORY J. WELKNICHOLAS R. LAMOUREUXCHENGPENG ZENGZHENGYUAN ZHUEMILY BERGDANA L. WOLFF-HUGHESRICHARD P. TROIANO

medicinehealth monitoringmonitoring technologypublic healthongoing surveillance effortsphysical activitysport medicineepidemiology

Multivariate Small-Area Estimation for Mixed-Type Response Variables With Item Nonresponse. Journal of Survey Statistics and Methodology (2023)

Hao SunEmily BergZhengyuan Zhu

statisticsstatistical methodologymixed-type response variablessurvey methodologyitem nonresponsejournalism

Variable Selection in Macroeconomic Forecasting With Many Predictors. Econometrics and Statistics (2023)

Zhenzhong WangZhengyuan ZhuCindy Yu

econometricsvariable selectionstatisticsmacroeconomic forecasting

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Zhengyuan Zhu

Professor Director of the Center for Survey Statistics and Methodology

Iowa State University

Affiliations

College of Liberal Arts and Sciences

Statistics

Zhengyuan Zhu is currently serving as a College Of Liberal Arts And Sciences Professor Director of the Center for Survey Statistics and Methodology at Iowa State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Zhengyuan Zhu

Iowa State University

Professor Director of the Center for Survey Statistics and Methodology

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso. Journal of Computational and Graphical Statistics (2025)

Xin ZhangShan YuZhengyuan ZhuXin Wang

bivariate splineforest lassospatial analysismachine learningdata sciencespatial ecologyapplied mathematics

Improving Assessment of Population Exposure and Health Impacts to Pm 2.5 With High Spatial and Temporal Data. GIScience & Remote Sensing (2024)

Xia ZhaoYuyu ZhouXi LiTao ZhangYueying WangZhengyuan ZhuKai ZhangDeren Li

environmental sciencegeographical information scienceenvironmental healthremote sensinghigh spatialpopulation exposuregeographic information systemspublic healthhealth impacts

Mapping Conservation Practices via Deep Learning: Improving Performance via Hillshade Imagery, Sampling Design, and Centerline Dice Loss. Statistics and data science in imaging. (2024)

Charles J. LabuzzettaZhengyuan Zhu

deep learningcenterline dice lossstatisticsdata sciencehillshade imageryconservation practices

Resampling Method for Generalized One-Per-Stratum Sampling Designs. Statistica Sinica (2024)

Zhonglei WangZhengyuan Zhu

statistical inferencestatisticsstatistical theorysamplingstatistical methodologysampling (statistics)applied statistics

Spatially Explicit Downscaling and Projection of Population in Mainland China. The Science of The Total Environment (2024)

Wenru XuYuyu ZhouHannes TaubenböckEleanor C. StokesZhengyuan ZhuFeilin LaiXuecao LiXia Zhao

Clustered Coefficient Regression Models for Poisson Process With an Application to Seasonal Warranty Claim Data. Technometrics (2023)

Xin WangXin ZhangZhengyuan Zhu

statisticspoisson processcoefficient regression modelsclusteringdata sciencepsychometricsapplied mathematicseconometricsapplied statistics

Efficient Water-Saving Irrigation, Space Efficiency and Agricultural Development — Study Based on Spatial Stochastic Frontier Model. Journal of Systems Science and Complexity (2023)

Aihua HanJian HuangXin WangZhengyuan Zhu

systems modelingefficient water-saving irrigationsystems engineeringspace efficiencyagricultural developmentsystem science

Equating Nhanes Monitor-Based Physical Activity to Self-Reported Methods to Enhance Ongoing Surveillance Efforts. Medicine & Science in Sports & Exercise (2023)

GREGORY J. WELKNICHOLAS R. LAMOUREUXCHENGPENG ZENGZHENGYUAN ZHUEMILY BERGDANA L. WOLFF-HUGHESRICHARD P. TROIANO

medicinehealth monitoringmonitoring technologypublic healthongoing surveillance effortsphysical activitysport medicineepidemiology

Multivariate Small-Area Estimation for Mixed-Type Response Variables With Item Nonresponse. Journal of Survey Statistics and Methodology (2023)

Hao SunEmily BergZhengyuan Zhu

statisticsstatistical methodologymixed-type response variablessurvey methodologyitem nonresponsejournalism

Variable Selection in Macroeconomic Forecasting With Many Predictors. Econometrics and Statistics (2023)

Zhenzhong WangZhengyuan ZhuCindy Yu

econometricsvariable selectionstatisticsmacroeconomic forecasting

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Similar Faculty Members

Guofeng Cao

Institution

University of Colorado Boulder

social media

geography

Bo Li

Institution

Washington University in St. Louis

spatio-temporal data modeling

functional data analysis

Kaiguang Zhao

Institution

Ohio State University

earth observation data

remote sensing

Greg Husak

Institution

University of California, Santa Barbara

climatology

earth science

John P. Wilson

Institution

University of Southern California

environmental systems

geography

Chris Tsokos

Institution

University of South Florida

reliability analysis

ecological modelling

Chaowei Yang

Institution

George Mason University

remote sensing

geography

Auroop Ganguly

Institution

Northeastern University

network science

infrastructure management

Xun Shi

Institution

Dartmouth College

spatial science

geographic information system

Padhraic Smyth

Institution

University of California, Irvine

machine learning

data science