Publications

(2025). Spatially explicit heteroskedastic modeling for the Soil Health Assessment Protocol and Evaluation version 1.0 S. Soil Science Society of America Journal.

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(2025). Spatial deep convolutional neural networks. Spatial Statistics.

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(2025). Soil carbon mapping of the contiguous US using VNIR spectra within a heterogeneous spatial model. Journal of Agricultural, Biological and Environmental Statistics.

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(2025). Bayesian unit-level models for longitudinal survey data under informative sampling: an analysis of expected job loss using the Household Pulse Survey. Journal of the Royal Statistical Society Series A: Statistics in Society.

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(2024). SHAPEv1. 0 Scoring curves and peer group benchmarks for dynamic soil health indicators. Soil Science Society of America Journal.

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(2024). Conjugate Modeling Approaches for Small Area Estimation with Heteroscedastic Structure. Journal of Survey Statistics and Methodology.

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(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.

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(2023). Comparison of unit-level small area estimation modeling approaches for survey data under informative sampling. Journal of Survey Statistics and Methodology.

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(2023). Bayesian Methods Applied to Small Area Estimation for Establishment Statistics. Advances in Business Statistics, Methods and Data Collection.

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(2023). A look into the problem of preferential sampling through the lens of survey statistics. The American Statistician.

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(2023). A comprehensive overview of unit-level modeling of survey data for small area estimation under informative sampling. Journal of Survey Statistics and Methodology.

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(2021). The soil health assessment protocol and evaluation applied to soil organic carbon. Soil Science Society of America Journal.

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(2021). A general Bayesian model for heteroskedastic data with fully conjugate full-conditional distributions. Journal of Statistical Computation and Simulation.

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(2020). Nonlinear time series classification using bispectrum-based deep convolutional neural networks. Applied Stochastic Models in Business and Industry.

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(2020). Conjugate Bayesian unit-level modelling of count data under informative sampling designs. Stat.

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