Faculty

Institution

Unit

Venue

Scott H. Holan

Professor Department Chair

University of Missouri

Affiliations

College of Arts & Science

Statistics

Scott H. Holan is currently serving as a College Of Arts & Science Professor Department Chair at University of Missouri.

Honors

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Experiences

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Education

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Scott H. Holan

University of Missouri

Professor Department Chair

You can click a keyword to filter the displayed items

statistics data science bayesian analysis applied statistics statistical methodology biostatistics survey methodology environmental science spatial analysis machine learning time series statistical inference bayesian inference sampling small area estimation econometrics spatio-temporal models informative sampling statistical analysis avian biology bibliometrics estimation theory statistical science spatial statistical analysis multivariate analysis fish biology livestock science assisted living soil dynamics pedosphere ornithology agronomy scientific data biomedical imaging soil health soil characterization soil properties soil science agricultural sciences multiscale analysis synthetic data photoacoustic signals wavelet denoising photoacoustic discrimination soil organic carbon shovelnose sturgeon non-gaussian data computational imaging medical image computing cancer imaging animal behavior behavioral ecology soil physical quality medical biophysics tissue imaging cell detection cancer detection image denoising nonlinear time series breeding behavior tissue injury crop yields yield prediction soil conservation carbon farming agricultural conservation soil ecology timefrequency analysis assisted living facilities soil organic c conditional cdf methodological review count time series functional covariates spatial fay-herriot models high-dimensional count-valued data environmental impact assessment ecoinformatics environmental monitoring bayesian methodology environmental data official statistics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bayesian Methods to Improve the Accuracy of Differentially Private Measurements of Constrained Parameters. arXiv (Cornell University) (2024)

Janicki, RyanHolan, Scott H.Irimata, Kyle M.Livsey, JamesRaim, Andrew

bayesian methodsmachine learningstatisticsconstrained parametersdifferential privacy

Bayesian Multisource Hierarchical Models With Applications to the Monthly Retail Trade Survey. Journal of Survey Statistics and Methodology (2024)

Stephen J KaputaDarcy Steeg MorrisScott H Holan

statistical methodologybayesian inferencesurvey methodologydata scienceapplied statisticshealth sciencesbayesian analysisstatistics

Predicting Lg Blockage in the Middle East Using a Bayesian Lasso Logistic Regression Model. Bulletin of the Seismological Society of America (2024)

Duyi LiSaikat NandyHongjun HuiScott H. HolanEric Sandvol

middle eastearth scienceseismologybayesian hierarchical modelinglogistic regression

Shapev1.0 Scoring Curves and Peer Group Benchmarks for Dynamic Soil Health Indicators. Soil Science Society of America Journal (2024)

Márcio R. NunesKristen S. VeumPaul A. ParkerScott H. HolanJoseph P. AmsiliHarold M. van EsSkye A. WillsCathy A. SeyboldDouglas L. Karlen

shapev1.0 scoring curvesbiostatisticssoil propertiessoil healthbiogeochemistrysoil organic carbonenvironmental sciencesoil characterizationpedosphereenvironmental monitoringecological indicatorsoilsoil peer groupsoil dynamicssoil biology

A Bayesian Lasso Logistic Regression Model for Predicting the Probability of Regional Seismic Phase Observation Using Sn in the Middle East and East Asia as Examples. Bulletin of the Seismological Society of America (2023)

Hongjun HuiSaikat NandyScott H. HolanJingjing PanDuyi LiEric A. Sandvol

middle eastearth scienceseismologyeast asiabayesian analysis

A Comprehensive Overview of Unit-Level Modeling of Survey Data for Small Area Estimation Under Informative Sampling. Journal of Survey Statistics and Methodology (2023)

Paul A ParkerRyan JanickiScott H Holan

unit-level modelingsmall area estimationsurvey methodologyinformative samplingstatistics

A Criterion for Aggregation Error for Multivariate Spatial Data. arXiv (Cornell University) (2023)

Daw, RanadeepWikle, Christopher K.Bradley, Jonathan R.Holan, Scott H.

spatial analysismultivariate regionalizationgeospatial datadata sciencespatial datamachine learning

Bayesian Circular Lattice Filters for Computationally Efficient Estimation of Multivariate Time-Varying Autoregressive Models. Computational Statistics & Data Analysis (2023)

Yuelei SuiScott H. HolanWen-Hsi Yang

estimation theoryapplied mathematicsdata scienceprobability theorybayesian analysis

Bayesian Methods Applied to Small Area Estimation for Establishment Statistics. (2023)

Paul A. ParkerRyan JanickiScott H. Holan

bayesian methodssmall area estimationestablishment statisticsapplied statisticsstatistics

Comparison of Unit-Level Small Area Estimation Modeling Approaches for Survey Data Under Informative Sampling. Journal of Survey Statistics and Methodology (2023)

Paul A ParkerRyan JanickiScott H Holan

survey methodologystatistical methodologyinformative samplingstatistics

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Scott H. Holan

Professor Department Chair

University of Missouri

Affiliations

College of Arts & Science

Statistics

Scott H. Holan is currently serving as a College Of Arts & Science Professor Department Chair at University of Missouri.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Scott H. Holan

University of Missouri

Professor Department Chair

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bayesian Methods to Improve the Accuracy of Differentially Private Measurements of Constrained Parameters. arXiv (Cornell University) (2024)

Janicki, RyanHolan, Scott H.Irimata, Kyle M.Livsey, JamesRaim, Andrew

bayesian methodsmachine learningstatisticsconstrained parametersdifferential privacy

Bayesian Multisource Hierarchical Models With Applications to the Monthly Retail Trade Survey. Journal of Survey Statistics and Methodology (2024)

Stephen J KaputaDarcy Steeg MorrisScott H Holan

statistical methodologybayesian inferencesurvey methodologydata scienceapplied statisticshealth sciencesbayesian analysisstatistics

Predicting Lg Blockage in the Middle East Using a Bayesian Lasso Logistic Regression Model. Bulletin of the Seismological Society of America (2024)

Duyi LiSaikat NandyHongjun HuiScott H. HolanEric Sandvol

middle eastearth scienceseismologybayesian hierarchical modelinglogistic regression

Shapev1.0 Scoring Curves and Peer Group Benchmarks for Dynamic Soil Health Indicators. Soil Science Society of America Journal (2024)

Márcio R. NunesKristen S. VeumPaul A. ParkerScott H. HolanJoseph P. AmsiliHarold M. van EsSkye A. WillsCathy A. SeyboldDouglas L. Karlen

Hongjun HuiSaikat NandyScott H. HolanJingjing PanDuyi LiEric A. Sandvol

middle eastearth scienceseismologyeast asiabayesian analysis

A Comprehensive Overview of Unit-Level Modeling of Survey Data for Small Area Estimation Under Informative Sampling. Journal of Survey Statistics and Methodology (2023)

Paul A ParkerRyan JanickiScott H Holan

unit-level modelingsmall area estimationsurvey methodologyinformative samplingstatistics

A Criterion for Aggregation Error for Multivariate Spatial Data. arXiv (Cornell University) (2023)

Daw, RanadeepWikle, Christopher K.Bradley, Jonathan R.Holan, Scott H.

spatial analysismultivariate regionalizationgeospatial datadata sciencespatial datamachine learning

Bayesian Circular Lattice Filters for Computationally Efficient Estimation of Multivariate Time-Varying Autoregressive Models. Computational Statistics & Data Analysis (2023)

Yuelei SuiScott H. HolanWen-Hsi Yang

estimation theoryapplied mathematicsdata scienceprobability theorybayesian analysis

Bayesian Methods Applied to Small Area Estimation for Establishment Statistics. (2023)

Paul A. ParkerRyan JanickiScott H. Holan

bayesian methodssmall area estimationestablishment statisticsapplied statisticsstatistics

Comparison of Unit-Level Small Area Estimation Modeling Approaches for Survey Data Under Informative Sampling. Journal of Survey Statistics and Methodology (2023)

Paul A ParkerRyan JanickiScott H Holan

survey methodologystatistical methodologyinformative samplingstatistics

1
2
3
4
5
13
10 / page

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Similar Faculty Members

Christopher K. Wikle

Institution

University of Missouri

climatology

spatio-temporal model

Mallick, Bani

Institution

Texas A&M University

statistics

bayesian analysis

F. Jay Breidt

Institution

Colorado State University

survey methodology

statistical model

Marc G. Genton

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Texas A&M University

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data science

Jiming Jiang

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University of California, Davis

statistical modeling

biomedical informatics

Anton Schick

Institution

Binghamton University

bayesian statistic

empirical likelihood

Gauri Datta

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University of Georgia

statistical model

statistical methodology

Nitis Mukhopadhyay

Institution

University of Connecticut

sampling (statistics)

biostatistics

Sujit Ghosh

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North Carolina State University

statistical modeling

statistical methodology

Zhengyuan Zhu

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Iowa State University

remote sensing

geography