Bayesian hierarchical formulations are utilized by the U.S. Bureau of Labor Statistics (BLS) with respondent-level data for missing item imputation because these formulations are readily parameterized ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 59, No. 3 (MAY 2010), pp. 381-404 (24 pages) Sample selection models attempt to correct for non-randomly selected data in ...

Advances in plant imaging and computer vision have transformed agriculture and biology by enabling continuous and objective trait quantification. However, monitoring large plant populations or ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...