Alan E. Gelfand

Affiliations:
  • Duke University, Department of Statistical Science


According to our database1, Alan E. Gelfand authored at least 14 papers between 1999 and 2016.

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Bibliography

2016
Markov-modulated Marked Poisson Processes for Check-in Data.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Using spatial gradient analysis to clarify species distributions with application to South African protea.
J. Geogr. Syst., 2015

2013
Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets.
Comput. Stat. Data Anal., 2013

2012
Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes.
J. Geogr. Syst., 2012

2011
Scaling up: linking field data and remote sensing with a hierarchical model.
Int. J. Geogr. Inf. Sci., 2011

2010
Analyzing space-time sensor network data under suppression and failure in transmission.
Stat. Comput., 2010

2009
Improving the performance of predictive process modeling for large datasets.
Comput. Stat. Data Anal., 2009

2007
Model fitting and inference under latent equilibrium processes.
Stat. Comput., 2007

Multilevel modeling using spatial processes: Application to the Singapore housing market.
Comput. Stat. Data Anal., 2007

Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment.
Proceedings of the Computational Science, 2007

2006
Model-Driven Dynamic Control of Embedded Wireless Sensor Networks.
Proceedings of the Computational Science, 2006

2005
Slice sampling for simulation based fitting of spatial data models.
Stat. Comput., 2005

1999
Model choice: A minimum posterior predictive loss approach.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999


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