Abhirup Datta

Research output

Research output per year 2016 2019 2022 2023 2024

• 39 Article
• 3 Review article
• 1 Comment/debate

Research output per year

Research output per year

Search results

• 2024

  Misuse of statistical method results in highly biased interpretation of forensic evidence in

  Rosenblum, M., Chin, E. T., Ogburn, E. L., Nishimura, A., Westreich, D., Datta, A., Vanderplas, S., Cuellar, M. & Thompson, W. C., 2024, In: Law, Probability and Risk. 23, 1, mgad010.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Forensic Science 100%
  • Firearms 77%
  • Statistical Methods 73%
  • examiner 66%
  • Crime 62%
• 2023

  A DYNAMIC SPATIAL FILTERING APPROACH TO MITIGATE UNDERESTIMATION BIAS IN FIELD CALIBRATED LOW-COST SENSOR AIR POLLUTION DATA

  Heffernan, C., Peng, R., Gentner, D. R., Koehler, K. & Datta, A., Dec 2023, In: Annals of Applied Statistics. 17, 4, p. 3056-3087 32 p.

  Research output: Contribution to journal › Article › peer-review

  • Spatial Filtering 100%
  • Air Pollution 80%
  • Sensor 66%
  • Air pollution 64%
  • Calibration 58%

• An illustration of model agnostic explainability methods applied to environmental data

  Wikle, C. K., Datta, A., Hari, B. V., Boone, E. L., Sahoo, I., Kavila, I., Castruccio, S., Simmons, S. J., Burr, W. S. & Chang, W., Feb 2023, In: Environmetrics. 34, 1, e2772.

  Research output: Contribution to journal › Article › peer-review

  • environmental data 100%
  • Machine Learning 40%
  • machine learning 37%
  • Soil Moisture 34%
  • Sea Surface Temperature 34%

• Correcting for Verbal Autopsy Misclassification Bias in Cause-Specific Mortality Estimates

  Fiksel, J., Gilbert, B., Wilson, E., Kalter, H., Kante, A., Akum, A., Blau, D., Bassat, Q., Macicame, I., Gudo, E. S., Black, R., Zeger, S., Amouzou, A. & Datta, A., May 2023, In: American Journal of Tropical Medicine and Hygiene. 108, p. 66-77 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • necropsy 100%
  • Autopsy 85%
  • death 51%
  • Mortality 50%
  • Cause of Death 35%

• Countrywide Mortality Surveillance for Action in Mozambique: Results from a National Sample-Based Vital Statistics System for Mortality and Cause of Death

  the COMSA-Mozambique study team, May 2023, In: American Journal of Tropical Medicine and Hygiene. 108, p. 5-16 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Mozambique 100%
  • Vital Statistics 96%
  • demographic statistics 62%
  • Cause of Death 55%
  • death 53%

• Discussion of “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach”

  Datta, A., Jun 2023, In: Journal of Agricultural, Biological, and Environmental Statistics. 28, 2, p. 352-357 6 p.

  Research output: Contribution to journal › Article › peer-review

  • Climate 100%
  • Machine Learning 94%
  • artificial intelligence 85%
  • machine learning 71%
  • Ensemble 70%

• Evaluation of calibration approaches for indoor deployments of PurpleAir monitors

  Koehler, K., Wilks, M., Green, T., Rule, A. M., Zamora, M. L., Buehler, C., Datta, A., Gentner, D. R., Putcha, N., Hansel, N. N., Kirk, G. D., Raju, S. & McCormack, M., Oct 1 2023, In: Atmospheric Environment. 310, 119944.

  Research output: Contribution to journal › Review article › peer-review

  • calibration 100%
  • ambient air 53%
  • indoor environment 31%
  • atmospheric pollution 21%
  • sensor 18%

• Identifying optimal co-location calibration periods for low-cost sensors

  Levy Zamora, M., Buehler, C., Datta, A., Gentner, D. R. & Koehler, K., Jan 13 2023, In: Atmospheric Measurement Techniques. 16, 1, p. 169-179 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • sensor 100%
  • calibration 98%
  • cost 75%
  • environmental conditions 22%
  • nitric oxide 16%

• Laboratory and field evaluation of a low-cost methane sensor and key environmental factors for sensor calibration

  Lin, J. J. Y., Buehler, C., Datta, A., Gentner, D. R., Koehler, K. & Zamora, M. L., Feb 21 2023, In: Environmental Science: Atmospheres. 3, 4, p. 683-694 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Methane 100%
  • Carbon Monoxide 93%
  • environmental factor 88%
  • Calibration 82%
  • methane 81%

• Multi-Cause Calibration of Verbal Autopsy–Based Cause-Specific Mortality Estimates of Children and Neonates in Mozambique

  Gilbert, B., Fiksel, J., Wilson, E., Kalter, H., Kante, A., Akum, A., Blau, D., Bassat, Q., Macicame, I., Gudo, E. S., Black, R., Zeger, S., Amouzou, A. & Datta, A., May 2023, In: American Journal of Tropical Medicine and Hygiene. 108, p. 78-89 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Mozambique 100%
  • Child Mortality 85%
  • Calibration 72%
  • necropsy 69%
  • calibration 67%

• nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes

  Weber, L. M., Saha, A., Datta, A., Hansen, K. D. & Hicks, S. C., Dec 2023, In: Nature communications. 14, 1, 4059.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • genes 100%
  • Genes 34%
  • Simulation 26%
  • Length 25%
  • platforms 14%

• Random Forests for Spatially Dependent Data

  Saha, A., Basu, S. & Datta, A., 2023, In: Journal of the American Statistical Association. 118, 541, p. 665-683 19 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Random Forest 100%
  • Dependent Data 79%
  • Generalized Least Squares 58%
  • Gaussian Process 22%
  • Spatial Correlation 14%
• 2022

  A transformation-free linear regression for compositional outcomes and predictors

  Fiksel, J., Zeger, S. & Datta, A., Sep 2022, In: Biometrics. 78, 3, p. 974-987 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Size Effect 100%
  • Linear regression 89%
  • Predictors 81%
  • Linear Models 69%
  • Compositional Data 63%

• BAYESIAN FUNCTIONAL REGISTRATION OF FMRI ACTIVATION MAPS

  Wang, G., Datta, A. & Lindquist, M. A., Sep 2022, In: Annals of Applied Statistics. 16, 3, p. 1676-1699 24 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Registration 100%
  • Activation 90%
  • Brain 83%
  • Chemical activation 68%
  • Inference 63%

• Efficient estimation of SNP heritability using Gaussian predictive process in large scale cohort studies

  Seal, S., Datta, A. & Basu, S., Apr 20 2022, In: PLoS genetics. 18, 4, e1010151.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • heritability 100%
  • cohort studies 99%
  • Single Nucleotide Polymorphism 60%
  • Linear Models 56%
  • Cohort Studies 49%

• Evaluating the Performance of Using Low-Cost Sensors to Calibrate for Cross-Sensitivities in a Multipollutant Network

  Levy Zamora, M., Buehler, C., Lei, H., Datta, A., Xiong, F., Gentner, D. R. & Koehler, K., May 13 2022, In: ACS ES and T Engineering. 2, 5, p. 780-793 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Ozone 100%
  • Error 74%
  • sensor 67%
  • Air Pollutant 66%
  • Nitrogen Dioxide 59%

• Generalized Bayes Quantification Learning under Dataset Shift

  Fiksel, J., Datta, A., Amouzou, A. & Zeger, S., 2022, In: Journal of the American Statistical Association. 117, 540, p. 2163-2181 19 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Quantification 100%
  • Bayes 95%
  • Learning 81%
  • Classifier 59%
  • Compositional Data 42%
  1 Scopus citations

• Graphical Gaussian process models for highly multivariate spatial data

  Dey, D., Datta, A. & Banerjee, S., Dec 1 2022, In: Biometrika. 109, 4, p. 993-1014 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Gaussian Process 100%
  • Process Model 97%
  • spatial data 96%
  • Spatial Data 95%
  • Air Pollution 82%

• Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping

  Gao, L., Datta, A. & Banerjee, S., Jul 20 2022, In: Statistics in Medicine. 41, 16, p. 3057-3075 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Disease Mapping 100%
  • Directed Acyclic Graph 78%
  • Graph Model 75%
  • Autoregressive Model 71%
  • Spatial Autocorrelation 34%

• Increasing Functional Diversity in a Global Land Surface Model Illustrates Uncertainties Related to Parameter Simplification

  Butler, E. E., Wythers, K. R., Flores-Moreno, H., Ricciuto, D. M., Datta, A., Banerjee, A., Atkin, O. K., Kattge, J., Thornton, P. E., Anand, M., Burrascano, S., Byun, C., Cornelissen, J. H. C., Forey, E., Jansen, S., Kramer, K., Minden, V. & Reich, P. B., Mar 2022, In: Journal of Geophysical Research: Biogeosciences. 127, 3, e2021JG006606.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • model uncertainty 100%
  • functional diversity 69%
  • land surface 51%
  • carbon cycle 40%
  • carbon 39%

• Nearest-neighbor sparse Cholesky matrices in spatial statistics

  Datta, A., Sep 1 2022, In: Wiley Interdisciplinary Reviews: Computational Statistics.

  Research output: Contribution to journal › Review article › peer-review

  • Spatial Statistics 100%
  • Cholesky 93%
  • Nearest Neighbor 72%
  • Gaussian Process 67%
  • Review 25%

• Non-linear probabilistic calibration of low-cost environmental air pollution sensor networks for neighborhood level spatiotemporal exposure assessment

  Patton, A., Datta, A., Zamora, M. L., Buehler, C., Xiong, F., Gentner, D. R. & Koehler, K., Nov 2022, In: Journal of Exposure Science and Environmental Epidemiology. 32, 6, p. 908-916 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Exposure Assessment 100%
  • Environmental Pollution 93%
  • Air Pollution 87%
  • environmental cost 81%
  • Air pollution 75%

• spNNGP R Package for Nearest Neighbor Gaussian Process Models

  Finley, A. O., Datta, A. & Banerjee, S., 2022, In: Journal of Statistical Software. 103, 5

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Gaussian Process 100%
  • Process Model 97%
  • Nearest Neighbor 94%
  • Gaussian Model 81%
  • Markov Chain Monte Carlo 72%
• 2021

  Regularized Bayesian transfer learning for population-level etiological distributions

  Datta, A., Fiksel, J., Amouzou, A. & Zeger, S. L., Oct 1 2021, In: Biostatistics. 22, 4, p. 836-857 22 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Machine Learning 100%
  • Autopsy 55%
  • Psychology Transfer 51%
  • Sample Size 39%
  • Datasets 35%

• Updated respiration routines alter spatio-temporal patterns of carbon cycling in a global land surface model

  Butler, E. E., Wythers, K. R., Flores-Moreno, H., Chen, M., Datta, A., Ricciuto, D. M., Atkin, O. K., Kattge, J., Thornton, P. E., Banerjee, A. & Reich, P. B., Oct 2021, In: Environmental Research Letters. 16, 10, 104015.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Carbon 100%
  • respiration 90%
  • land surface 87%
  • Respiration 84%
  • Maintenance 59%
• 2020

  A Note on Cross-Validation for Lasso Under Measurement Errors

  Datta, A. & Zou, H., Oct 1 2020, In: Technometrics. 62, 4, p. 549-556 8 p.

  Research output: Contribution to journal › Comment/debate › peer-review

  Open Access

  • Lasso 100%
  • Cross-validation 95%
  • Measurement Error 90%
  • Measurement errors 87%
  • Covariates 43%

• Size estimation of key populations in the hiv epidemic in eswatini using incomplete and misaligned capture-recapture data

  Datta, A., Pita, A., Rao, A., Sithole, B., Mnisi, Z. & Baral, S., 2020, In: Annals of Applied Statistics. 14, 3, p. 1207-1241 35 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Capture-recapture 100%
  • Population Density 57%
  • Data acquisition 53%
  • Misalignment 38%
  • Multiplier 35%
  1 Scopus citations

• Statistical field calibration of a low-cost PM_2.5 monitoring network in Baltimore

  Datta, A., Saha, A., Zamora, M. L., Buehler, C., Hao, L., Xiong, F., Gentner, D. R. & Koehler, K., Dec 1 2020, In: Atmospheric Environment. 242, 117761.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • monitoring network 100%
  • calibration 61%
  • cost 47%
  • atmospheric pollution 15%
  • mandate 11%
  2 Scopus citations
• 2019

  A Case Study Competition Among Methods for Analyzing Large Spatial Data

  Heaton, M. J., Datta, A., Finley, A. O., Furrer, R., Guinness, J., Guhaniyogi, R., Gerber, F., Gramacy, R. B., Hammerling, D., Katzfuss, M., Lindgren, F., Nychka, D. W., Sun, F. & Zammit-Mangion, A., Sep 15 2019, In: Journal of Agricultural, Biological, and Environmental Statistics. 24, 3, p. 398-425 28 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • spatial data 100%
  • Spatial Data 98%
  • Large Data 92%
  • case studies 62%
  • Gaussian Process 51%
  66 Scopus citations

• Bayesian Estimation of MSM Population Size in Côte d’Ivoire

  Datta, A., Lin, W., Rao, A., Diouf, D., Kouame, A., Edwards, J. K., Bao, L., Louis, T. A. & Baral, S., Jan 1 2019, In: Statistics and Public Policy. 6, 1, p. 1-13 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Bayesian Estimation 100%
  • Population Density 94%
  • Population Size 82%
  • Africa 53%
  • HIV Prevention 49%
  5 Scopus citations

• Bayesian high-dimensional regression for change point analysis

  Datta, A., Zou, H. & Banerjee, S., 2019, In: Statistics and its Interface. 12, 2, p. 253-264 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Change-point Analysis 100%
  • Change Point 74%
  • High-dimensional 53%
  • Regression 49%
  • Covariates 27%

• Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes

  Finley, A. O., Datta, A., Cook, B. D., Morton, D. C., Andersen, H. E. & Banerjee, S., Apr 3 2019, In: Journal of Computational and Graphical Statistics. 28, 2, p. 401-414 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Gaussian Process 100%
  • Nearest Neighbor 94%
  • Alternate 73%
  • Memory Management 61%
  • Efficient Algorithms 60%
  16 Scopus citations

• Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments^†

  Zhang, L., Datta, A. & Banerjee, S., Jun 2019, In: Statistical Analysis and Data Mining. 12, 3, p. 197-209 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Bayesian Modeling 100%
  • Spatial Data 99%
  • Bayesian inference 78%
  • Spatial Process 50%
  • Large Data 46%
  7 Scopus citations

• Robustness of trait connections across environmental gradients and growth forms

  Flores-Moreno, H., Fazayeli, F., Banerjee, A., Datta, A., Kattge, J., Butler, E. E., Atkin, O. K., Wythers, K., Chen, M., Anand, M., Bahn, M., Byun, C., Cornelissen, J. H. C., Craine, J., Gonzalez-Melo, A., Hattingh, W. N., Jansen, S., Kraft, N. J. B., Kramer, K., Laughlin, D. C., & 7 othersMinden, V., Niinemets, Ü., Onipchenko, V., Peñuelas, J., Soudzilovskaia, N. A., Dalrymple, R. L. & Reich, P. B., Dec 1 2019, In: Global Ecology and Biogeography. 28, 12, p. 1806-1826 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • growth form 100%
  • environmental gradient 91%
  • leaf area 24%
  • tissue 21%
  • climate 21%
  7 Scopus citations

• Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models

  Datta, A., Banerjee, S., Hodges, J. S. & Gao, L., Dec 1 2019, In: Bayesian Analysis. 14, 4, p. 1221-1244 24 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Disease Mapping 100%
  • Directed Acyclic Graph 78%
  • Graph Model 75%
  • Autoregressive Model 71%
  • Random Effects 29%
  10 Scopus citations

• Spatial factor models for high-dimensional and large spatial data: An application in forest variable mapping

  Taylor-Rodriguez, D., Finley, A. O., Datta, A., Babcock, C., Andersen, H. E., Cook, B. D., Morton, D. C. & Banerjee, S., 2019, In: Statistica Sinica. 29, 3, p. 1155-1180 26 p.

  Research output: Contribution to journal › Article › peer-review

  • Spatial Data 100%
  • Factor Models 94%
  • Large Data 93%
  • Spatial Model 93%
  • High-dimensional 60%
  6 Scopus citations
• 2018

  BRISC: Bootstrap for rapid inference on spatial covariances

  Saha, A. & Datta, A., 2018, In: Stat. 7, 1, e184.

  Research output: Contribution to journal › Article › peer-review

  • Bootstrap 100%
  • Inference 58%
  • Bayesian Approach 26%
  • Resampling 20%
  • Geostatistics 20%
  2 Scopus citations

• Estimating sizes of key populations at the national level: Considerations for study design and analysis

  Edwards, J. K., Hileman, S., Donastorg, Y., Zadrozny, S., Baral, S., Hargreaves, J. R., Fearon, E., Zhao, J., Datta, A. & Weir, S. S., 2018, In: Epidemiology. 29, 6, p. 795-803 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Population Density 100%
  • Dominican Republic 88%
  • Sex Work 40%
  • Epidemiologists 38%
  • Weights and Measures 36%
  6 Scopus citations
• 2017

  Cocolasso for high-dimensional error-in-variables regression

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

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Cross-validation 100%
  • Errors in Variables 87%
  • Measurement Error 65%
  • Missing Data 53%
  • High-dimensional 50%
  26 Scopus citations

• 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 journal › Article › peer-review

  Open Access

  • Plant Dispersal 100%
  • Grid Cells 21%
  • Photosynthesis 9%
  • Databases 7%
  • Ecosystem 7%
  78 Scopus citations
• 2016

  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 journal › Article › peer-review

  • Gaussian Process 100%
  • Process Model 97%
  • Nearest Neighbor 94%
  • Large Data Sets 85%
  • Gaussian Model 81%
  151 Scopus citations

• 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 2016, In: Annals of Applied Statistics. 10, 3, p. 1286-1316 31 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Particulate Matter 100%
  • Spatio-temporal Data 88%
  • Gaussian Process 79%
  • Process Model 77%
  • Nearest Neighbor 75%
  39 Scopus citations

• On nearest-neighbor Gaussian process models for massive spatial data

  Datta, A., Banerjee, S., Finley, A. O. & Gelfand, A. E., Sep 1 2016, In: Wiley Interdisciplinary Reviews: Computational Statistics. 8, 5, p. 162-171 10 p.

  Research output: Contribution to journal › Review article › peer-review

  • Spatial Data 100%
  • Gaussian Model 86%
  • Process Model 82%
  • Nearest Neighbor 77%
  • Gaussian Process 73%
  18 Scopus citations