2 papers
stat.ME2020
A General Bayesian Model for Heteroskedastic Data with Fully Conjugate Full-Conditional Distributions
Paul A. Parker, Scott H. Holan, Skye A. Wills
Models for heteroskedastic data are relevant in a wide variety of applications ranging from financial time series to environmental statistics. However, the topic of modeling the va…
physics.geo-ph2017
Soil Property and Class Maps of the Conterminous US at 100 meter Spatial Resolution based on a Compilation of National Soil Point Observations and Machine Learning
Amanda Ramcharan, Tomislav Hengl, Travis Nauman +4
With growing concern for the depletion of soil resources, conventional soil data must be updated to support spatially explicit human-landscape models. Three US soil point datasetsw…