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Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets.

, , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)

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Multilevel modeling using spatial processes: Application to the Singapore housing market., , , , and . Comput. Stat. Data Anal., 51 (7): 3567-3579 (2007)Approximate Bayesian inference for large spatial datasets using predictive process models., , , and . Comput. Stat. Data Anal., 56 (6): 1362-1380 (2012)bayesassurance: An R Package for Calculating Sample Size and Bayesian Assurance., and . R J., 15 (3): 138-158 (September 2023)Fine pose estimation of known objects in cluttered scene images., , and . ACPR, page 630-634. IEEE, (2015)Spatial Modeling With Spatially Varying Coefficient Processes, , , and . Journal of the American Statistical Association, 98 (462): 387--396 (June 2003)Spatial statistics: Methods, models & computation., , , and . Comput. Stat. Data Anal., 53 (8): 2781-2785 (2009)spNNGP R Package for Nearest Neighbor Gaussian Process Models., , and . J. Stat. Softw., (2022)Bayesian spatially varying coefficient models in the spBayes R package., and . Environ. Model. Softw., (2020)Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments., , and . Stat. Anal. Data Min., 12 (3): 197-209 (2019)Bayesian State Space Modeling of Physical Processes in Industrial Hygiene., , , and . Technometrics, 62 (2): 147-160 (2020)