PHD THESIS
- Sengupta, A. (2012). “Empirical Hierarchical Modeling and Predictive Inference for Big, Spatial, Discrete, and Continuous Data.” Doctoral Dissertation, Department of Statistics, The Ohio State University, Columbus, OH. (Web Link)
REFEREED ARTICLES
- Sengupta, A., Cressie, N., Kahn, B. H., and Frey, R. (2016). "Predictive inference for big, spatial non-Gaussian data: MODIS cloud data and its change-of-support." Australian & New Zealand Journal of Statistics. 58, 15–45. (doi: 10.1111/anzs.12148 )
- Sengupta, A., Cressie, N. (2013). "Hierarchical statistical modeling for big spatial datasets using the exponential family of distributions." Spatial Statistics, 4, 14-44. (doi: dx.doi.org/10.1016/j.spasta.2013.02.002)
- Sengupta, A., Cressie, N. (2013). "Empirical hierarchical modeling for count data using the Spatial Random Effects model." Spatial Economic Analysis, 8, 389-418. (doi: 10.1080/17421772.2012.760135)
- Peterson E. E., et al. (15 co-authors, including Sengupta, A.). (2013). "Modeling dendritic ecological networks in space: An integrated network perspective." Ecology Letters, 16, 707-719. (doi: 10.1111/ele.12084)
- Sengupta, A., Foster, S. D., Patterson, T. A., and Bravington, M. (2012). “Accounting for location error in Kalman filters: Integrating animal borne sensor data into assimilation schemes.” PLoS ONE, 7, e42093. (doi: 10.1371/journal.pone.0042093)
UNREFEREED ARTICLES
- Sengupta, A., Cressie, N., Frey, R., and Kahn, B. H. (2012). "Statistical modeling of MODIS cloud data using the Spatial Random Effects model." In Proceedings of the 2012 Joint Statistical Meetings, Alexandria, VA: American Statistical Association, 3111-3123. (PDF)