Faculty

Institution

Unit

Venue

Huiyan Sang

Professor

Texas A&M University

Affiliations

College of Arts and Sciences

Statistics

Huiyan Sang is currently serving as a College Of Arts And Sciences Professor at Texas A&M University.

Honors

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Experiences

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Education

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Huiyan Sang

Texas A&M University

Professor

You can click a keyword to filter the displayed items

statistics data science spatial analysis applied statistics machine learning biostatistics bayesian analysis earth science statistical inference covid-19 econometrics statistical methodology bayesian inference data modeling physical activity large datasets scientific computing climate modelling income distribution gaussian process spatial science large spatial datasets activity-friendly community additive manufacturing porous materials school leadership educational administration school effectiveness engineering geology economic geology petroleum geoscience petroleum engineering petroleum science mathematical optimization geophysical research geoscientific model development statistical science statistical analysis advanced manufacturing porosity performance modeling invasion biology education research primary education school functioning clinical guidance large-scale datasets self-organizing maps wildlife management community environments supervised learning computational learning theory exploration geology regional science reservoir engineering reservoir geology regional geology gaussian analysis brain structure agricultural sciences vehicle technology internet of vehicles vehicle communication metal-based additive manufacturing full scale approximation covariance functions extreme values hierarchical modeling northeastern united states hierarchical models large data sets invasive plant species gaussian max-stable processes likelihood function school surroundings school grounds

Notable Scholarly Works

Notable Federal Grants

Collaborators

Consistent Bayesian Local Spatial Feature Selection With Application to Spatial Multimodal Omics. arXiv (Cornell University) (2026)

information fusionspatial analysisspatial multimodal omicsfeature selectionmodel selectiondata sciencespatial verificationimage analysisbayesian analysisstatistics

Gs-Bart: Bayesian Additive Regression Trees With Graph-Split Decision Rules. Journal of the American Statistical Association (2026)

graph-split decision rulesbayesian networkdecision treesmachine learning researchdecision tree learningstatistical inferencebayesian analysisstatisticsstatistical models

Shape-Aware Deep Learning for Models of Production. Journal of Productivity Analysis (2026)

geometric learningcomputer visiondeep learningshape-aware deep learningneural network (machine learning)data scienceai-based process optimizationmanufacturing systems

A Novel Thermal Comfort Model for Older Adults – Development and Validation of the Comfa-Oa Model. Building and Environment (2025)

thermal comfortbuilt environmentbuilding engineeringdesign

Consistent Bayesian Spatial Domain Partitioning Using Predictive Spanning Tree Methods. ArXiv.org (2025)

spatial analysisspatial databasescomputational sciencebayesian networkbayesian hierarchical modelingbayesian analysisunsupervised machine learningcomputational statisticsmodel selectionspatial statistical analysisgeographical information sciencespatio-temporal modelsapplied mathematicsstatistics

Nonparametric Density Estimation on Complex Domains Using Manifold-Aware Bayesian Additive Tree Models. Computational Statistics & Data Analysis (2025)

bayesian statisticsstatistical methodologycomplex domainsbayesian hierarchical modelingdensity estimationbayesian analysisnonparametric density estimationcomputational statisticsmodel selectionapproximate bayesian computationstatistical inferenceapplied mathematicsstatisticsstatistical models

SBAMDT: Bayesian Additive Decision Trees With Adaptive Soft Semi-Multivariate Split Rules. arXiv (Cornell University) (2025)

computer sciencebayesian networkbayesian hierarchical modelingdecision treessoft computingbayesian inferencestatisticsdecision tree learningmodel selectionstatistical inferencebayesian analysismachine learningstatistical models

Nonparametric Machine Learning for Stochastic Frontier Analysis: A Bayesian Additive Regression Tree Approach. Econometrics and Statistics (2024)

Zheng WeiHuiyan SangNene Coulibaly

econometricsstatisticsstochastic frontier analysisdata sciencemachine learning

A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees. Journal of the American Statistical Association (2023)

Zhao Tang LuoHuiyan SangBani Mallick

biostatisticsgaussian processgaussian process modelapplied statisticsstatistical inferencestatisticsstatistical models

Bayesian Clustering of Spatial Functional Data With Application to a Human Mobility Study During Covid-19. The Annals of Applied Statistics (2023)

Bohai ZhangHuiyan SangZhao Tang LuoHui Huang

human mobilitybiostatisticsstatistical methodologybayesian clusteringclusteringeconometricsspatial functional datahuman mobility studydata sciencecovid-19bibliometricsapplied statisticsstatistics

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Huiyan Sang

Professor

Texas A&M University

Affiliations

College of Arts and Sciences

Statistics

Huiyan Sang is currently serving as a College Of Arts And Sciences Professor at Texas A&M 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

Huiyan Sang

Texas A&M University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Consistent Bayesian Local Spatial Feature Selection With Application to Spatial Multimodal Omics. arXiv (Cornell University) (2026)

information fusionspatial analysisspatial multimodal omicsfeature selectionmodel selectiondata sciencespatial verificationimage analysisbayesian analysisstatistics

Gs-Bart: Bayesian Additive Regression Trees With Graph-Split Decision Rules. Journal of the American Statistical Association (2026)

graph-split decision rulesbayesian networkdecision treesmachine learning researchdecision tree learningstatistical inferencebayesian analysisstatisticsstatistical models

Shape-Aware Deep Learning for Models of Production. Journal of Productivity Analysis (2026)

geometric learningcomputer visiondeep learningshape-aware deep learningneural network (machine learning)data scienceai-based process optimizationmanufacturing systems

A Novel Thermal Comfort Model for Older Adults – Development and Validation of the Comfa-Oa Model. Building and Environment (2025)

thermal comfortbuilt environmentbuilding engineeringdesign

Consistent Bayesian Spatial Domain Partitioning Using Predictive Spanning Tree Methods. ArXiv.org (2025)

Nonparametric Density Estimation on Complex Domains Using Manifold-Aware Bayesian Additive Tree Models. Computational Statistics & Data Analysis (2025)

SBAMDT: Bayesian Additive Decision Trees With Adaptive Soft Semi-Multivariate Split Rules. arXiv (Cornell University) (2025)

Nonparametric Machine Learning for Stochastic Frontier Analysis: A Bayesian Additive Regression Tree Approach. Econometrics and Statistics (2024)

Zheng WeiHuiyan SangNene Coulibaly

econometricsstatisticsstochastic frontier analysisdata sciencemachine learning

A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees. Journal of the American Statistical Association (2023)

Zhao Tang LuoHuiyan SangBani Mallick

biostatisticsgaussian processgaussian process modelapplied statisticsstatistical inferencestatisticsstatistical models

Bayesian Clustering of Spatial Functional Data With Application to a Human Mobility Study During Covid-19. The Annals of Applied Statistics (2023)

Bohai ZhangHuiyan SangZhao Tang LuoHui Huang

human mobilitybiostatisticsstatistical methodologybayesian clusteringclusteringeconometricsspatial functional datahuman mobility studydata sciencecovid-19bibliometricsapplied statisticsstatistics

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3
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7
10 / page

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Similar Faculty Members

Tonglin Zhang

Institution

Purdue University

bayesian analysis

probability theory

Scott H. Holan

Institution

University of Missouri

official statistics

environmental monitoring

Mallick, Bani

Institution

Texas A&M University

statistics

bayesian analysis

Dale Zimmerman

Institution

University of Iowa

model analysis

general system

Marc G. Genton

Institution

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statistics

data science

Nalini Ravishanker

Institution

University of Connecticut

infrastructure engineering

statistical modeling

F. Jay Breidt

Institution

Colorado State University

survey methodology

statistical model

Zhengyuan Zhu

Institution

Iowa State University

remote sensing

geography

Abhirup Datta

Institution

Johns Hopkins University

statistics

data science

Jun Yan

Institution

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statistical software

disaster risk science