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Alan E. Gelfand
Person information
- affiliation: Duke University, Department of Statistical Science
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Journal Articles
- 2015
- [j9]Maria A. Terres, Alan E. Gelfand:
Using spatial gradient analysis to clarify species distributions with application to South African protea. J. Geogr. Syst. 17(3): 227-247 (2015) - 2013
- [j8]A. Chakraborty, Asuncion Beamonte, Alan E. Gelfand, M. Pilar Alonso, Pilar Gargallo, Manuel Salvador:
Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets. Comput. Stat. Data Anal. 58: 292-307 (2013) - 2012
- [j7]Andrew O. Finley, Sudipto Banerjee, Alan E. Gelfand:
Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes. J. Geogr. Syst. 14(1): 29-47 (2012) - 2011
- [j6]Adam M. Wilson, John A. Silander, Alan E. Gelfand, Jonathan H. Glenn:
Scaling up: linking field data and remote sensing with a hierarchical model. Int. J. Geogr. Inf. Sci. 25(3): 509-521 (2011) - 2010
- [j5]Gavino Puggioni, Alan E. Gelfand:
Analyzing space-time sensor network data under suppression and failure in transmission. Stat. Comput. 20(4): 409-419 (2010) - 2009
- [j4]Andrew O. Finley, Huiyan Sang, Sudipto Banerjee, Alan E. Gelfand:
Improving the performance of predictive process modeling for large datasets. Comput. Stat. Data Anal. 53(8): 2873-2884 (2009) - 2007
- [j3]Alan E. Gelfand, Sudipto Banerjee, C. F. Sirmans, Yong Tu, Seow Eng Ong:
Multilevel modeling using spatial processes: Application to the Singapore housing market. Comput. Stat. Data Anal. 51(7): 3567-3579 (2007) - [j2]Sourabh Bhattacharya, Alan E. Gelfand, Kent E. Holsinger:
Model fitting and inference under latent equilibrium processes. Stat. Comput. 17(2): 193-208 (2007) - 2005
- [j1]Deepak K. Agarwal, Alan E. Gelfand:
Slice sampling for simulation based fitting of spatial data models. Stat. Comput. 15(1): 61-69 (2005)
Conference and Workshop Papers
- 2016
- [c5]Jiangwei Pan, Vinayak A. Rao, Pankaj K. Agarwal, Alan E. Gelfand:
Markov-modulated Marked Poisson Processes for Check-in Data. ICML 2016: 2244-2253 - 2007
- [c4]Paul G. Flikkema, Pankaj K. Agarwal, James S. Clark, Carla Schlatter Ellis, Alan E. Gelfand, Kamesh Munagala, Jun Yang:
From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment. International Conference on Computational Science (1) 2007: 988-994 - [c3]Adam Silberstein, Alan E. Gelfand, Kamesh Munagala, Gavino Puggioni, Jun Yang:
Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach. VLDB 2007: 842-853 - 2006
- [c2]Paul G. Flikkema, Pankaj K. Agarwal, James S. Clark, Carla Schlatter Ellis, Alan E. Gelfand, Kamesh Munagala, Jun Yang:
Model-Driven Dynamic Control of Embedded Wireless Sensor Networks. International Conference on Computational Science (3) 2006: 409-416 - 1999
- [c1]Sujit Kumar Ghosh, Alan E. Gelfand:
Model choice: A minimum posterior predictive loss approach. AISTATS 1999
Coauthor Index
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