Abhirup Datta

Assistant Professor

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Gaussian Model Mathematics
Gaussian Process Mathematics
Process Model Mathematics
Nearest Neighbor Mathematics
Errors in Variables Mathematics
Particulate Matter Mathematics
Spatio-temporal Data Mathematics
Large Data Sets Mathematics

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Research Output 2016 2018

BRISC: Bootstrap for rapid inference on spatial covariances

Saha, A. & Datta, A., Jan 1 2018, (Accepted/In press) In : Stat.

Research output: Contribution to journalArticle

Bayes Theorem
Markov Chains

Cocolasso for high-dimensional error-in-variables regression

Datta, A. & Zou, H., Dec 1 2017, In : Annals of Statistics. 45, 6, p. 2400-2426 27 p.

Research output: Contribution to journalArticle

Errors in Variables

Mapping local and global variability in plant trait distributions

Butler, E. E., Datta, A., Flores-Moreno, H., Chen, M., Wythers, K. R., Fazayeli, F., Banerjee, A., Atkin, O. K., Kattge, J., Amiaud, B., Blonder, B., Boenisch, G., Bond-Lamberty, B., Brown, K. A., Byun, C., Campetella, G., Cerabolini, B. E. L., Cornelissen, J. H. C., Craine, J. M., Craven, D. & 32 othersDe Vries, F. T., Díaz, S., Domingues, T. F., Forey, E., González-Melo, A., Gross, N., Han, W., Hattingh, W. N., Hickler, T., Jansen, S., Kramer, K., Kraft, N. J. B., Kurokawa, H., Laughlin, D. C., Meir, P., Minden, V., Niinemets, Ü., Onoda, Y., Peñuelas, J., Read, Q., Sack, L., Schamp, B., Soudzilovskaia, N. A., Spasojevic, M. J., Sosinski, E., Thornton, P. E., Valladares, F., Van Bodegom, P. M., Williams, M., Wirth, C., Reich, P. B. & Schlesinger, W. H., Dec 19 2017, In : Proceedings of the National Academy of Sciences of the United States of America. 114, 51, p. E10937-E10946

Research output: Contribution to journalArticle

Plant Dispersal

Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets

Datta, A., Banerjee, S., Finley, A. O. & Gelfand, A. E., Apr 2 2016, In : Journal of the American Statistical Association. 111, 514, p. 800-812 13 p.

Research output: Contribution to journalArticle

Gaussian Model
Gaussian Process
Large Data Sets
Process Model
Nearest Neighbor

Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis

Datta, A., Banerjee, S., Finley, A. O., Hamm, N. A. S. & Schaap, M., Sep 1 2016, In : Annals of Applied Statistics. 10, 3, p. 1286-1316 31 p.

Research output: Contribution to journalArticle

Particulate Matter
Spatio-temporal Data
Large Data
Gaussian Model