Publications

Paul A Parker, Scott H Holan, Ryan Janicki (2023). Conjugate Modeling Approaches for Small Area Estimation with Heteroscedastic Structure. Journal of Survey Statistics and Methodology.

Paul A Parker, Scott H Holan (2023). 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.

Paul A Parker, Ryan Janicki, Scott H Holan (2023). Comparison of Unit-Level Small Area Estimation Modeling Approaches for Survey Data Under Informative Sampling. Journal of Survey Statistics and Methodology.

Paul A Parker, Ryan Janicki, Scott H Holan (2023). A comprehensive overview of unit-level modeling of survey data for small area estimation under informative sampling. Journal of Survey Statistics and Methodology.

Paul A Parker, Scott H Holan, Ryan Janicki (2022). Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage. The Annals of Applied Statistics.

Alexander Sun, Paul A Parker, Scott H Holan (2022). Analysis of Household Pulse Survey Public-Use Microdata via Unit-Level Models for Informative Sampling. Stats.

Daniel Vedensky, Paul A Parker, Scott H Holan (2022). A Look into the Problem of Preferential Sampling from the Lens of Survey Statistics. arXiv preprint arXiv:2203.05507.

Márcio R Nunes, Kristen S Veum, Paul A Parker, Scott H Holan, Douglas L Karlen, Joseph P Amsili, Harold M van Es, Skye A Wills, Cathy A Seybold, Thomas B Moorman (2021). The soil health assessment protocol and evaluation applied to soil organic carbon. Soil Science Society of America Journal.

Paul A Parker, Scott H Holan, Nalini Ravishanker (2020). Nonlinear time series classification using bispectrum-based deep convolutional neural networks. Applied Stochastic Models in Business and Industry.

Paul A Parker, Scott H Holan, Ryan Janicki (2020). Conjugate Bayesian unit-level modelling of count data under informative sampling designs. Stat.

Paul A Parker, Scott H Holan (2020). Computationally Efficient Deep Bayesian Unit-Level Modeling of Survey Data under Informative Sampling for Small Area Estimation. arXiv preprint arXiv:2009.07934.

Paul A Parker, Scott H Holan, Ryan Janicki (2020). Computationally Efficient Bayesian Unit-Level Models for Non-Gaussian Data Under Informative Sampling. arXiv preprint arXiv:2009.05642.

Paul A Parker, Scott H Holan, Skye A. Wills (2020). A General Bayesian Model for Heteroskedastic Data with Fully Conjugate Full-Conditional Distributions. arXiv preprint arXiv:2009.13636.

Paul A Parker, Scott H Holan (2020). A Bayesian Functional Data Model for Surveys Collected under Informative Sampling with Application to Mortality Estimation using NHANES. arXiv preprint arXiv:2011.03515.

Paul A Parker, Ryan Janicki, Scott H Holan (2019). Unit level modeling of survey data for small area estimation under informative sampling: A comprehensive overview with extensions. arXiv preprint arXiv:1908.10488.

Kristen S Veum, Paul A Parker, Kenneth A Sudduth, Scott H Holan (2018). Predicting profile soil properties with reflectance spectra via Bayesian covariate-assisted external parameter orthogonalization. Sensors.