Faculty

Institution

Unit

Venue

F. Jay Breidt

Senior Fellow Professor Emeritus of Statistics

Colorado State University

Affiliations

College of Natural Sciences

Statistics

F. Jay Breidt is currently serving as a College Of Natural Sciences Senior Fellow Professor Emeritus of Statistics at Colorado State University.

Honors

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Experiences

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Education

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F. Jay Breidt

Colorado State University

Senior Fellow Professor Emeritus of Statistics

You can click a keyword to filter the displayed items

statistics environmental science agricultural economics statistical methodology survey methodology sustainable agriculture climate change estimation theory applied statistics earth science time series statistical inference plant science soil science agronomy environmental modelling soil livestock science pest science soil carbon sequestration precision agriculture scientific computing global ecology soil ecology scientific data soil modeling volatility modeling agricultural sciences carbon farming statistical science parameter estimation statistical analysis stochastic volatility models informative selection agricultural soils soil dynamics bayesian analysis climate-smart agriculture nutrient management climate change mitigation soil management crop yields bayesian inference forecasting methodology land economics agricultural lands model-assisted estimation discrete event simulations real-time exploration finite population adaptation sustainable development climate policy environmental planning strategic studies global warming climate change adaptation responsible science agricultural impacts global change impacts bibliometrics vegetation science earth observation earth observation data ecological modelling uncertainty modeling multivariate analysis agri-environmental policy long term no-tillage management dry climatic conditions tropical regions no-till management soil characteristics process-based model management impacts

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bayesian Uncertainty Analysis of Soil Organic Carbon Stocks and Stock Changes From Croplands in the U.S. Midwest. (2026)

carbon footprintagricultural economicsbiogeochemistryglobal changeland useglobal ecologycarbon sequestrationsoil biologyplant soilnatural resource managementsoil dynamicsearth scienceforest ecosystemspedosphereenvironmental scienceland degradationsoil

ARCHIMEDES: A Framework to Support Distributional Similarity Analysis Over Arbitrary Spatiotemporal Scopes at Scale. (2025)

data sciencegeographical information sciencespatiotemporal organizationspatial analysis

A Data Quality Scorecard to Assess a Data Source’S Fitness for Use. (2024)

data integrationscientific datainformation managementstatisticsquality managementhealth informaticsdata modelingbehavioral statisticdatabasesinformaticsbiostatisticsdata scienceanalyticsquality engineeringstatistical softwaredata managementquality technology

A Dual-Frame Approach for Estimation With Respondent-Driven Samples. METRON (2023)

Chien-Min HuangF. Jay Breidt

parameter estimationrespondent-driven samplespublic healthapplied statisticsestimation theoryepidemiologystatistics

A Framework for Profiling Spatial Variability in the Performance of Classification Models. (2023)

Menuka WarushavithanaKassidy BarramCaleb CarlsonSaptashwa MitraSudipto GhoshJay BreidtSangmi PallickaraShrideep Pallickara

spatial variabilitymachine learningdata sciencespatial analysisclassification modelsstatistics

Combining Data Sources to Produce Nationally Representative Estimates of Hospital Encounter Characteristics. (2023)

public health preparednessstatisticsmedical systemsdisaster medicinehealth informaticshealth systemshealth careclinical epidemiologypopulation healthhospital medicinehealth services researchpatient safetyhealth planningemergency nursingemergency medicineepidemiologyhealth information science

Counterfactual Scenarios Reveal Historical Impact of Cropland Management on Soil Organic Carbon Stocks in the United States. Scientific Reports (2023)

Stephen M. OgleF. Jay BreidtStephen Del GrossoRam GurungErnie MarxShannon SpencerStephen WilliamsDale Manning

livestock sciencesoil sciencecropland managementunited statesearth sciencesustainable agricultureenvironmental scienceclimate changeagricultural economics

Discussion of Kim and Morikawa: An Empirical Likelihood Approach to Reduce Selection Bias in Voluntary Samples. (2023)

behavioral economicsstatistical methodologybiostatisticshuman decision processbehavioral sciencesstatistical inferencedecision sciencebehavioral decision makingsamplingexperimental social psychologyapplied statisticseconomic psychologystatistical hypothesis testsurvey methodologybiasbehavioral statisticstatistics

Discussion of the 2022 Hansen Lecture: “the Evolution of the Use of Models in Survey Sampling”. Journal of Survey Statistics and Methodology (2023)

F Jay Breidt

model selectionsampling theorystatistical methodologysampling techniquessamplingsampling (statistics)survey methodologystatistics

RUBIKS: Rapid Explorations and Summarization Over High Dimensional Spatiotemporal Datasets. (2023)

Saptashwa MitraMatt YoungJay BreidtSangmi PallickaraShrideep Pallickara

data miningmachine learningdata sciencerapid explorationsdata exploration

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F. Jay Breidt

Senior Fellow Professor Emeritus of Statistics

Colorado State University

Affiliations

College of Natural Sciences

Statistics

F. Jay Breidt is currently serving as a College Of Natural Sciences Senior Fellow Professor Emeritus of Statistics at Colorado 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

F. Jay Breidt

Colorado State University

Senior Fellow Professor Emeritus of Statistics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bayesian Uncertainty Analysis of Soil Organic Carbon Stocks and Stock Changes From Croplands in the U.S. Midwest. (2026)

ARCHIMEDES: A Framework to Support Distributional Similarity Analysis Over Arbitrary Spatiotemporal Scopes at Scale. (2025)

data sciencegeographical information sciencespatiotemporal organizationspatial analysis

A Data Quality Scorecard to Assess a Data Source’S Fitness for Use. (2024)

A Dual-Frame Approach for Estimation With Respondent-Driven Samples. METRON (2023)

Chien-Min HuangF. Jay Breidt

parameter estimationrespondent-driven samplespublic healthapplied statisticsestimation theoryepidemiologystatistics

A Framework for Profiling Spatial Variability in the Performance of Classification Models. (2023)

Menuka WarushavithanaKassidy BarramCaleb CarlsonSaptashwa MitraSudipto GhoshJay BreidtSangmi PallickaraShrideep Pallickara

spatial variabilitymachine learningdata sciencespatial analysisclassification modelsstatistics

Combining Data Sources to Produce Nationally Representative Estimates of Hospital Encounter Characteristics. (2023)

Counterfactual Scenarios Reveal Historical Impact of Cropland Management on Soil Organic Carbon Stocks in the United States. Scientific Reports (2023)

Stephen M. OgleF. Jay BreidtStephen Del GrossoRam GurungErnie MarxShannon SpencerStephen WilliamsDale Manning

livestock sciencesoil sciencecropland managementunited statesearth sciencesustainable agricultureenvironmental scienceclimate changeagricultural economics

Discussion of Kim and Morikawa: An Empirical Likelihood Approach to Reduce Selection Bias in Voluntary Samples. (2023)

Discussion of the 2022 Hansen Lecture: “the Evolution of the Use of Models in Survey Sampling”. Journal of Survey Statistics and Methodology (2023)

F Jay Breidt

model selectionsampling theorystatistical methodologysampling techniquessamplingsampling (statistics)survey methodologystatistics

RUBIKS: Rapid Explorations and Summarization Over High Dimensional Spatiotemporal Datasets. (2023)

Saptashwa MitraMatt YoungJay BreidtSangmi PallickaraShrideep Pallickara

data miningmachine learningdata sciencerapid explorationsdata exploration

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Similar Faculty Members

Christopher K. Wikle

Institution

University of Missouri

climatology

spatio-temporal model

Marc G. Genton

Institution

Texas A&M University

statistics

data science

Zhengyuan Zhu

Institution

Iowa State University

remote sensing

geography

Brian Reich

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environmental hazard

geography

Kung-Sik Chan

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data analytics

statistical modeling

Kun Chen

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biomedical data science

large-scale statistical learning

Mevin Hooten

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Michael L. Stein

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data science

Stephen Ogle

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soil carbon sequestration

carbon sequestration

Mevin Hooten

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biological modeling

conservation biology