Hierarchical multiresolution approaches for dense point-level breast cancer treatment data. - Shengde Liang; Sudipto Banerjee; Sally Bushhouse; Andrew O. Finley; Bradley P. Carlin (Comput. Stat. Data Anal., 2008)

Bayesian Spatial Regression for Multi-source Predictive Mapping. - Andrew O. Finley; Sudipto Banerjee (Encyclopedia of GIS, 2008)

Improving the performance of predictive process modeling for large datasets. - Andrew O. Finley; Huiyan Sang; Sudipto Banerjee; Alan E. Gelfand (Comput. Stat. Data Anal., 2009)

Variational Bayesian methods for spatial data analysis. - Qian Ren; Sudipto Banerjee; Andrew O. Finley; James S. Hodges (Comput. Stat. Data Anal., 2011)

Approximate Bayesian inference for large spatial datasets using predictive process models. - Jo Eidsvik; Andrew O. Finley; Sudipto Banerjee; Håvard Rue (Comput. Stat. Data Anal., 2012)

Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes. - Andrew O. Finley; Sudipto Banerjee; Alan E. Gelfand (J. Geogr. Syst., 2012)

Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets. - Andrew O. Finley; Sudipto Banerjee; Bruce D. Cook; John B. Bradford (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data. - Chad Babcock; Jason Matney; Andrew O. Finley; Aaron Weiskittel; Bruce D. Cook (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data. - Virpi Junttila; Tuomo Kauranne; Andrew O. Finley; John B. Bradford (IEEE Trans. Geosci. Remote. Sens., 2015)

Bayesian Spatial Regression for Multisource Predictive Mapping. - Andrew O. Finley; Sudipto Banerjee (Encyclopedia of GIS, 2017)

EcoMem: An R package for quantifying ecological memory. - Malcolm S. Itter; Jarno Vanhatalo; Andrew O. Finley (Environ. Model. Softw., 2019)

Bayesian spatially varying coefficient models in the spBayes R package. - Andrew O. Finley; Sudipto Banerjee (Environ. Model. Softw., 2020)

rFIA: An R package for estimation of forest attributes with the US Forest Inventory and Analysis database. - Hunter Stanke; Andrew O. Finley; Aaron S. Weed; Brian F. Walters; Grant M. Domke (Environ. Model. Softw., 2020)

ForestFit: An R package for modeling plant size distributions. - Mahdi Teimouri; Jeffrey W. Doser; Andrew O. Finley (Environ. Model. Softw., 2020)

A novel model to accurately predict continental-scale timing of forest green-up. - N. Neupane; Michele Peruzzi; Ali Arab 002; S. J. Mayor; J. C. Withey; L. Ries; Andrew O. Finley (Int. J. Appl. Earth Obs. Geoinformation, 2022)

spNNGP R Package for Nearest Neighbor Gaussian Process Models. - Andrew O. Finley; Abhirup Datta; Sudipto Banerjee (J. Stat. Softw., 2022)

Bayesian modeling of incompatible spatial data: A case study involving Post-Adrian storm forest damage assessment. - Lu Zhang; Andrew O. Finley; Arne Nothdurft; Sudipto Banerjee (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Spatial Prediction of Diameter Distributions for the Alpine Protection Forests in Ebensee, Austria, Using ALS/PLS and Spatial Distributional Regression Models. - Arne Nothdurft; Andreas Tockner; Sarah Witzmann; Christoph Gollob; Tim Ritter; Ralf Kraßnitzer; Karl Stampfer; Andrew O. Finley (Remote. Sens., 2024)