Faculty

Institution

Unit

Venue

Yan Sun

PhD Associate Professor

Utah State University

Affiliations

College of Science

Department of Mathematics and Statistics

Yan Sun is currently serving as a College Of Science PhD Associate Professor at Utah State University.

Honors

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Experiences

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Education

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Yan Sun

Utah State University

PhD Associate Professor

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statistics statistical methodology geography statistical models applied statistics civil engineering hydrometeorology snow avalanche computational statistics interval computations data science climatology forecasting model selection interval analysis meteorology weather forecasting financial time series analysis time series cold region science cryosphere estimation theory predictive analytics bridge engineering climatic change ice load financial econometrics volatility modeling infrastructure engineering composite structures engineering structures economic analysis deterioration modeling stressstrain analysis structural analysis dendrochronology climate forecasting regression analysis high-dimensional method high-frequency financial econometrics uncertainty modeling stress increase structural safety structural optimization forest ecosystems forest ecology quaternary science service life prediction predictive maintenance logistic regression structural reliability structural design uncertain data tree growth paleoenvironmental change holocene density estimation statistical foundation mathematical statistics arctic engineering econometric models human bias lasso solution path explanatory variables classification tree stochastic modeling unbonded tendons prediction methods order statistics uncertain random variables k-out-of-n system statistical treatment interior west wet bias tree-ring records added value spatial analysis geographical information science geospatial data geospatial information

Notable Scholarly Works

Notable Federal Grants

Collaborators

BMEMAPPING: Spatial Interpolation Using Bayesian Maximum Entropy (Bme). (2025)

Kinspride DuahYan Sun

spatial analysisentropycomputational geometryrandom mappinggeometric interpolationspatial verificationbayesian analysisbayesian maximum entropycomputer science

Integrating Multi-Source Geospatial Information Using Bayesian Maximum Entropy: A Case Study on Design Ground Snow Load Prediction. Spatial Statistics (2025)

Kinspride DuahYan SunBrennan Bean

spatial analysisgeographical information sciencegeoinformaticsgeospatial datageographyhydrometeorologygeospatial mappingload predictiongeoscientific model developmentbayesian analysisearth scienceweather forecastingmulti-source geospatial informationbayesian maximum entropygeographic information systemsforecastingsnow avalanche

Multi-Sample Means Comparisons for Imprecise Interval Data. International Journal of Approximate Reasoning (2024)

Yan SunZac RiosBrennan Bean

interval computationssampling (statistics)interval analysisapplied statisticsmulti-sample means comparisonsstatisticsstatistical methodologystatistical hypothesis test

Multi-Sample Means Comparisons for Imprecise Interval Data. (2024)

Yan SunZac RiosBrennan Bean

interval computationssampling (statistics)interval analysisapplied statisticsmulti-sample means comparisonsstatisticsstatistical methodologystatistical hypothesis test

Random Forests Regression for Soft Interval Data. Communications in Statistics - Simulation and Computation (2024)

Paul Gaona-PartidaChih-Ching YehYan SunAdele Cutler

decision tree learningsoft computinghigh-dimensional statisticsstatistical learning theoryapplied statisticsprediction modellingrandom forests regressionstatistical methodologymachine learning researchdata sciencecomputational statisticsmodel selection

Adaptive Mapping of Design Ground Snow Loads in the Conterminous United States. Journal of Structural Engineering (2023)

Jadon WagstaffBrennan BeanJesse WheelerMarc MaguireYan Sun

geographical information scienceadaptive mappingcold region sciencenumerical modeling (geology)geographygeospatial mappingcivil engineeringgeoscientific model developmentadditive modelsgeographic information systemsdesign groundsnow avalanche

Comparing Extreme Value Estimation Techniques for Short-Term Snow Accumulations. Journal of Data Science (2023)

Kenneth PomeyieBrennan BeanYan Sun

climatologyextreme value estimationapplied statisticsreal world datahydrometeorologygeographyshort-term snow accumulationssnow water equivalentstatistical methodologyearth sciencecryospheresnow avalanche

Versatile Activity and Morphological Effects of Zinc Oxide Submicron Particles as Anticancer Agents. Nanomedicine (2022)

Junnan GengGregory JensenKyle JacksonJefferson PontslerVenkatakrishnan RengarajanYan SunDavid BrittYu Huang

nanotoxicologytumor targetingbiomedical engineeringradiation oncologybrain tumor researchzno smpssubmicron particlesphotomedicinecancer imagingfluorescencezinc oxidenanomaterialsnanotechnology

Interval-Valued Kriging for Geostatistical Mapping With Imprecise Inputs. International Journal of Approximate Reasoning (2021)

Brennan BeanYan SunMarc Maguire

geographical information scienceinterval computationsinterval analysisinterval-valued krigingapplied mathematicsapproximation theory

The 2020 National Snow Load Study. Digital Commons - USU (Utah State University) (2021)

Brennan BeanMarc MaguireYan SunJadon WagstaffSalam Adil Al-RubayeJesse WheelerScout JarmanMiranda Rogers

cold region sciencegeographyice loadcryospherearctic engineeringmeteorologysnow avalanche

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Yan Sun

PhD Associate Professor

Utah State University

Affiliations

College of Science

Department of Mathematics and Statistics

Yan Sun is currently serving as a College Of Science PhD Associate Professor at Utah 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

Yan Sun

Utah State University

PhD Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

BMEMAPPING: Spatial Interpolation Using Bayesian Maximum Entropy (Bme). (2025)

Kinspride DuahYan Sun

spatial analysisentropycomputational geometryrandom mappinggeometric interpolationspatial verificationbayesian analysisbayesian maximum entropycomputer science

Integrating Multi-Source Geospatial Information Using Bayesian Maximum Entropy: A Case Study on Design Ground Snow Load Prediction. Spatial Statistics (2025)

Kinspride DuahYan SunBrennan Bean

Multi-Sample Means Comparisons for Imprecise Interval Data. International Journal of Approximate Reasoning (2024)

Yan SunZac RiosBrennan Bean

interval computationssampling (statistics)interval analysisapplied statisticsmulti-sample means comparisonsstatisticsstatistical methodologystatistical hypothesis test

Multi-Sample Means Comparisons for Imprecise Interval Data. (2024)

Yan SunZac RiosBrennan Bean

interval computationssampling (statistics)interval analysisapplied statisticsmulti-sample means comparisonsstatisticsstatistical methodologystatistical hypothesis test

Random Forests Regression for Soft Interval Data. Communications in Statistics - Simulation and Computation (2024)

Paul Gaona-PartidaChih-Ching YehYan SunAdele Cutler

Adaptive Mapping of Design Ground Snow Loads in the Conterminous United States. Journal of Structural Engineering (2023)

Jadon WagstaffBrennan BeanJesse WheelerMarc MaguireYan Sun

Comparing Extreme Value Estimation Techniques for Short-Term Snow Accumulations. Journal of Data Science (2023)

Kenneth PomeyieBrennan BeanYan Sun

Versatile Activity and Morphological Effects of Zinc Oxide Submicron Particles as Anticancer Agents. Nanomedicine (2022)

Junnan GengGregory JensenKyle JacksonJefferson PontslerVenkatakrishnan RengarajanYan SunDavid BrittYu Huang

nanotoxicologytumor targetingbiomedical engineeringradiation oncologybrain tumor researchzno smpssubmicron particlesphotomedicinecancer imagingfluorescencezinc oxidenanomaterialsnanotechnology

Interval-Valued Kriging for Geostatistical Mapping With Imprecise Inputs. International Journal of Approximate Reasoning (2021)

Brennan BeanYan SunMarc Maguire

geographical information scienceinterval computationsinterval analysisinterval-valued krigingapplied mathematicsapproximation theory

The 2020 National Snow Load Study. Digital Commons - USU (Utah State University) (2021)

Brennan BeanMarc MaguireYan SunJadon WagstaffSalam Adil Al-RubayeJesse WheelerScout JarmanMiranda Rogers

cold region sciencegeographyice loadcryospherearctic engineeringmeteorologysnow avalanche

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statistical computing

data ecosystem

Sumanta Basu

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Cornell University

complex system

statistical machine learning

Bo Li

Institution

Washington University in St. Louis

spatio-temporal data modeling

functional data analysis

Leonid Piterbarg

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Oregon State University

anomalous diffusion

heterogeneous porous media

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statistical software

disaster risk science

Robert Lund

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Timothy M. DelSole

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