Model choice: A minimum posterior predictive loss approach. - Sujit Kumar Ghosh; Alan E. Gelfand (AISTATS, 1999)

Slice sampling for simulation based fitting of spatial data models. - Deepak K. Agarwal; Alan E. Gelfand (Stat. Comput., 2005)

Model-Driven Dynamic Control of Embedded Wireless Sensor Networks. - Paul G. Flikkema; Pankaj K. Agarwal; James S. Clark; Carla Schlatter Ellis; Alan E. Gelfand; Kamesh Munagala; Jun Yang 001 (International Conference on Computational Science (3), 2006)

From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment. - Paul G. Flikkema; Pankaj K. Agarwal; James S. Clark; Carla Schlatter Ellis; Alan E. Gelfand; Kamesh Munagala; Jun Yang 001 (International Conference on Computational Science (1), 2007)

Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach. - Adam Silberstein; Alan E. Gelfand; Kamesh Munagala; Gavino Puggioni; Jun Yang 001 (VLDB, 2007)

Multilevel modeling using spatial processes: Application to the Singapore housing market. - Alan E. Gelfand; Sudipto Banerjee; C. F. Sirmans; Yong Tu; Seow Eng Ong (Comput. Stat. Data Anal., 2007)

Model fitting and inference under latent equilibrium processes. - Sourabh Bhattacharya; Alan E. Gelfand; Kent E. Holsinger (Stat. Comput., 2007)

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)

Analyzing space-time sensor network data under suppression and failure in transmission. - Gavino Puggioni; Alan E. Gelfand (Stat. Comput., 2010)

Scaling up: linking field data and remote sensing with a hierarchical model. - Adam M. Wilson; John A. Silander; Alan E. Gelfand; Jonathan H. Glenn (Int. J. Geogr. Inf. Sci., 2011)

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

Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets. - A. Chakraborty; Asuncion Beamonte; Alan E. Gelfand; M. Pilar Alonso; Pilar Gargallo; Manuel Salvador (Comput. Stat. Data Anal., 2013)

Using spatial gradient analysis to clarify species distributions with application to South African protea. - Maria A. Terres; Alan E. Gelfand (J. Geogr. Syst., 2015)

Markov-modulated Marked Poisson Processes for Check-in Data. - Jiangwei Pan; Vinayak A. Rao; Pankaj K. Agarwal; Alan E. Gelfand (ICML, 2016)