Faculty

Institution

Unit

Venue

Bo Li

Stanley A Sawyer Professor of Statistics & Data Science

Washington University in St. Louis

Affiliations

Arts & Sciences

Department of Statistics and Data Science

Bo Li is currently serving as an Arts & Sciences Stanley A Sawyer Professor of Statistics & Data Science at Washington University In St. Louis.

Honors

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Experiences

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Education

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Bo Li

Washington University in St. Louis

Stanley A Sawyer Professor of Statistics & Data Science

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earth science geography climatology statistics climate change data science climatic change spatial analysis statistical methodology geoscientific model development time series climate models computational statistics climate projections climate system earth system science statistical inference spatial statistical analysis climate modelling meteorology hydrometeorology geographical information science applied statistics spatio-temporal models bayesian analysis climate forecasting weather forecasting quantitative spatial model palaeogeography quaternary science yield prediction applied meteorology paleoclimatology regional climate response agronomy crop growth modeling crop yields numerical weather prediction multivariate analysis spatial science vector borne disease pesticide science environmental hazards production research atmospheric research climate variability vector-borne pathogens paleoenvironmental reconstruction climate epidemiology united states global climate extreme weather agricultural pesticides spatial characteristics space-time covariance estimators machine learning research optical remote sensing meteorological measurements convolutional neural networks machine learning models biorational pesticide environmental exposures population exposure environmental epidemiology paleoclimatic reconstructions large-scale crop yields unique values multiproxy reconstruction borehole temperatures hourly rainfall data extreme rainfall deep learning algorithm deep learning approach operational scw forecasting covariance functions nonparametric assessment spatio-temporal data modeling functional data analysis spatial data management bayesian hierarchical modeling geospatial data data modeling applied geography

Notable Scholarly Works

Notable Federal Grants

Collaborators

Tracing the Impacts of Mount Pinatubo Eruption on Regional Climate Using Spatially-Varying Changepoint Detection. The Annals of Applied Statistics (2025)

Samantha Shi-JunLyndsay ShandBo Li

volcanic processspatially-varying changepoint detectionvolcano monitoringvolcanologypyroclastic flowvolcanismgeographical information sciencemount pinatubo eruptionnatural hazardsregional climateearth sciencegeographylaharclimatology

Nexus of Certain Model-Based Estimators in Remote Sensing Forest Inventory. Forest Ecosystems (2024)

forest biomassforest inventoryenvironmental modellingcertain model-based estimatorsforest ecologyearth sciencegeographyremote sensingforest ecosystemsforest productivityforestryforest resource managementforest biometricsforest research

Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics. Technometrics (2024)

Lei JinBo Li

multiple time seriesapplied mathematicsstatistical modelsstatistical methodologycomputational statisticsmultidimensional analysisnonlinear time seriesdata sciencetemporal pattern recognitionstatistical inferencescalable methodstime seriesapplied statisticsstatistics

Multimodel Ensemble Analysis With Neural Network Gaussian Processes. The Annals of Applied Statistics (2023)

Trevor HarrisBo LiRyan Sriver

geoscientific model developmentforecastingweather forecastingkm spatial resolutionnumerical weather predictionhydrometeorologyenvironmental modellingmultimodel ensemble analysisclimate modelsearth sciencedata scienceclimate modellingclimate projectionsclimatologyclimate forecastingprecipitation forecasting

Reflections on the Idea Forum—Statistics, Climate Change, and Sustainability. CHANCE (2023)

Bo LiDouglas Simpson

global changerigorous mathematicsstatistical scienceclimatic changeearth sciencefuture climatic changestatistics communityclimatologyclimate forecastingclimate changeclimate policystatistics

Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models With Functional Predictors. Journal of the American Statistical Association (2022)

Yeonjoo ParkBo LiYehua Li

precision agriculturemodel selectionspatial statistical analysisforecastingstatistical modelsbayesian analysisfunctional predictorsstatistical methodologyquantitative spatial modelgeographyyield predictionspatial analysiscrop growth modelingfunctional coefficientsclimate forecastingfunctional modelagricultural economicsstatistics

Cross-Classes Domain Inference With Network Sampling for Natural Resource Inventory. Forest Ecosystems (2022)

Zhengyang HouRonald E. McRobertsChunyu ZhangGöran StåhlXiuhai ZhaoXuejun WangBo LiQing Xu

cross-classes domain inferencestatistical inferenceforest ecosystemsnatural resource inventoryecology

Scalable Multiple Changepoint Detection for Functional Data Sequences. Environmetrics (2021)

Trevor HarrisBo LiJ. Derek Tucker

bioinformaticsdata miningmachine learninganalyticstime seriespublic healthhealth sciencesfunctional data sequencesstatistics

Understanding the Non-Stationary Relationships Between Corn Yields and Meteorology via a Spatiotemporally Varying Coefficient Model. Agricultural and Forest Meteorology (2021)

Hao JiangHao HuBo LiZhe ZhangShaowen WangTao Lin

meteorologygeoscientific model developmentcrop yieldshydrometeorologyenvironmental modellingagronomyearth scienceyield predictioncorn yieldsclimatologycrop growth modelingapplied meteorologyvarying coefficient modelagricultural economicsnon-stationary relationships

Detection of Local Differences in Spatial Characteristics Between Two Spatiotemporal Random Fields. Journal of the American Statistical Association (2020)

Sooin YunXianyang ZhangBo Li

spatial statistical analysislocal differencesfdr procedurebayesian analysismixture distributiongeographical information sciencespatio-temporal modelsquantitative spatial modelcomputational statisticsfdr controlmixture analysisearth sciencegeographystatistical inferencespatial analysisinformation fusionhigh-dimensional statistics

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Bo Li

Stanley A Sawyer Professor of Statistics & Data Science

Washington University in St. Louis

Affiliations

Arts & Sciences

Department of Statistics and Data Science

Bo Li is currently serving as an Arts & Sciences Stanley A Sawyer Professor of Statistics & Data Science at Washington University In St. Louis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Bo Li

Washington University in St. Louis

Stanley A Sawyer Professor of Statistics & Data Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Tracing the Impacts of Mount Pinatubo Eruption on Regional Climate Using Spatially-Varying Changepoint Detection. The Annals of Applied Statistics (2025)

Samantha Shi-JunLyndsay ShandBo Li

Nexus of Certain Model-Based Estimators in Remote Sensing Forest Inventory. Forest Ecosystems (2024)

Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics. Technometrics (2024)

Lei JinBo Li

Multimodel Ensemble Analysis With Neural Network Gaussian Processes. The Annals of Applied Statistics (2023)

Trevor HarrisBo LiRyan Sriver

Reflections on the Idea Forum—Statistics, Climate Change, and Sustainability. CHANCE (2023)

Bo LiDouglas Simpson

global changerigorous mathematicsstatistical scienceclimatic changeearth sciencefuture climatic changestatistics communityclimatologyclimate forecastingclimate changeclimate policystatistics

Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models With Functional Predictors. Journal of the American Statistical Association (2022)

Yeonjoo ParkBo LiYehua Li

Cross-Classes Domain Inference With Network Sampling for Natural Resource Inventory. Forest Ecosystems (2022)

Zhengyang HouRonald E. McRobertsChunyu ZhangGöran StåhlXiuhai ZhaoXuejun WangBo LiQing Xu

cross-classes domain inferencestatistical inferenceforest ecosystemsnatural resource inventoryecology

Scalable Multiple Changepoint Detection for Functional Data Sequences. Environmetrics (2021)

Trevor HarrisBo LiJ. Derek Tucker

bioinformaticsdata miningmachine learninganalyticstime seriespublic healthhealth sciencesfunctional data sequencesstatistics

Understanding the Non-Stationary Relationships Between Corn Yields and Meteorology via a Spatiotemporally Varying Coefficient Model. Agricultural and Forest Meteorology (2021)

Hao JiangHao HuBo LiZhe ZhangShaowen WangTao Lin

Detection of Local Differences in Spatial Characteristics Between Two Spatiotemporal Random Fields. Journal of the American Statistical Association (2020)

Sooin YunXianyang ZhangBo Li

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applied climatology

climate service

Toby Rollin Ault

Institution

Cornell University

drought

emergent climate risks

Xun Shi

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Dartmouth College

spatial science

geographic information system

Auroop Ganguly

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