Faculty

Institution

Unit

Venue

Paul A. Parker

Assistant Professor

University of California, Santa Cruz

Affiliations

Baskin School of Engineering

Statistics

Paul A. Parker is currently serving as a Baskin School Of Engineering Assistant Professor at University of California, Santa Cruz.

Honors

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Experiences

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Education

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Paul A. Parker

University of California, Santa Cruz

Assistant Professor

You can click a keyword to filter the displayed items

statistics survey methodology data science statistical methodology informative sampling small area estimation applied statistics bayesian analysis biostatistics statistical inference machine learning bayesian inference environmental science soil sampling pedosphere soil dynamics soil characterization soil properties soil health estimation theory non-gaussian data land use pattern recognition ecological indicator soil biology machine learning research soil physical quality soil science statistical analysis parameter estimation statistical science statistical learning theory conditional cdf soil organic c reflectance spectra soil peer group soil organic carbon shapev1.0 scoring curves unit-level modeling unit-level models unit level modeling comprehensive overview health insurance coverage count data informative sampling designs scientific data spatial analysis sampling (statistics) time series geographical information science official statistics spatial statistical analysis geospatial data spatial data management

Notable Scholarly Works

Notable Federal Grants

Collaborators

Nonlinear Fay-Herriot Models for Small Area Estimation Using Random Weight Neural Networks. Journal of Official Statistics (2024)

Paul A. Parker

statistical methodologysmall area estimationstatistical learning theoryestimation theorystatistical theorymachine learningneural network (machine learning)machine learning researchnonlinear fay-herriot modelsapplied statisticsstatistical inferencestatistics

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 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

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

Computationally Efficient Bayesian Unit-Level Random Neural Network Modelling of Survey Data Under Informative Sampling for Small Area Estimation. Journal of the Royal Statistical Society Series A (Statistics in Society) (2023)

Paul A ParkerScott H Holan

statistical methodologystatistical sciencesmall area estimationbayesian analysismachine learningsurvey methodologyinformative samplingdata scienceapplied statisticsstatistical inferenceapplied mathematicsstatistics

Conjugate Modeling Approaches for Small Area Estimation With Heteroscedastic Structure. Journal of Survey Statistics and Methodology (2023)

Paul A ParkerScott H HolanRyan Janicki

statistical methodologyheteroscedastic structuresmall area estimationsurvey methodologystatistics

A Bayesian Functional Data Model for Surveys Collected Under Informative Sampling With Application to Mortality Estimation Using Nhanes. Biometrics (2022)

Paul A. ParkerScott H. Holan

biostatisticssurvey methodologymortality estimationbiometricsstatistics

A Look Into the Problem of Preferential Sampling Through the Lens of Survey Statistics. The American Statistician (2022)

Daniel VedenskyPaul A. ParkerScott H. Holan

survey methodologystatistics

Analysis of Household Pulse Survey Public-Use Microdata via Unit-Level Models for Informative Sampling. Stats (2022)

Alexander SunPaul A. ParkerScott H. Holan

biostatisticsstatistical methodologysamplingsurvey methodologystatistical analysisinformative samplingdata scienceapplied statisticsunit-level modelsstatistics

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Paul A. Parker

Assistant Professor

University of California, Santa Cruz

Affiliations

Baskin School of Engineering

Statistics

Paul A. Parker is currently serving as a Baskin School Of Engineering Assistant Professor at University of California, Santa Cruz.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Paul A. Parker

University of California, Santa Cruz

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Nonlinear Fay-Herriot Models for Small Area Estimation Using Random Weight Neural Networks. Journal of Official Statistics (2024)

Paul A. Parker

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

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

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

Paul A ParkerScott H Holan

Conjugate Modeling Approaches for Small Area Estimation With Heteroscedastic Structure. Journal of Survey Statistics and Methodology (2023)

Paul A ParkerScott H HolanRyan Janicki

statistical methodologyheteroscedastic structuresmall area estimationsurvey methodologystatistics

A Bayesian Functional Data Model for Surveys Collected Under Informative Sampling With Application to Mortality Estimation Using Nhanes. Biometrics (2022)

Paul A. ParkerScott H. Holan

biostatisticssurvey methodologymortality estimationbiometricsstatistics

A Look Into the Problem of Preferential Sampling Through the Lens of Survey Statistics. The American Statistician (2022)

Daniel VedenskyPaul A. ParkerScott H. Holan

survey methodologystatistics

Analysis of Household Pulse Survey Public-Use Microdata via Unit-Level Models for Informative Sampling. Stats (2022)

Alexander SunPaul A. ParkerScott H. Holan

biostatisticsstatistical methodologysamplingsurvey methodologystatistical analysisinformative samplingdata scienceapplied statisticsunit-level modelsstatistics

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10 / page

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bayesian statistic

bayesian nonparametric methods

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remote sensing

geography

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model analysis

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big data

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