| A case study competition among methods for analyzing large spatial data MJ Heaton, A Datta, AO Finley, R Furrer, J Guinness, R Guhaniyogi, ... Journal of Agricultural, Biological and Environmental Statistics 24, 398-425, 2019 | 391 | 2019 |
| Bayesian tensor regression R Guhaniyogi, S Qamar, DB Dunson Journal of Machine Learning Research 18 (79), 1-31, 2017 | 132 | 2017 |
| Bayesian compressed regression R Guhaniyogi, DB Dunson Journal of the American Statistical Association 110 (512), 1500-1514, 2015 | 89 | 2015 |
| Adaptive Gaussian predictive process models for large spatial datasets R Guhaniyogi, AO Finley, S Banerjee, AE Gelfand Environmetrics 22 (8), 997-1007, 2011 | 77 | 2011 |
| Meta-kriging: Scalable Bayesian modeling and inference for massive spatial datasets R Guhaniyogi, S Banerjee Technometrics 60 (4), 430-444, 2018 | 75 | 2018 |
| Methods for analyzing large spatial data: A review and comparison MJ Heaton, A Datta, A Finley, R Furrer, R Guhaniyogi, F Gerber, ... arXiv preprint arXiv:1710.05013 22, 2017 | 61 | 2017 |
| A divide-and-conquer Bayesian approach to large-scale kriging R Guhaniyogi, C Li, TD Savitsky, S Srivastava arXiv preprint arXiv:1712.09767, 2017 | 34 | 2017 |
| Compressed Gaussian process for manifold regression R Guhaniyogi, DB Dunson Journal of Machine Learning Research 17 (69), 1-26, 2016 | 34 | 2016 |
| Bayesian tensor response regression with an application to brain activation studies R Guhaniyogi, D Spencer Bayesian Analysis 16 (4), 1221-1249, 2021 | 30 | 2021 |
| Modeling complex spatial dependencies: Low-rank spatially varying cross-covariances with application to soil nutrient data R Guhaniyogi, AO Finley, S Banerjee, RK Kobe Journal of agricultural, biological, and environmental statistics 18, 274-298, 2013 | 30 | 2013 |
| Human papillomavirus vaccine acceptance among young men in Bangalore, India HK Belani, P Sekar, R Guhaniyogi, A Abraham, PR Bohjanen, ... International journal of dermatology 53 (11), e486-e491, 2014 | 24 | 2014 |
| Distributed Bayesian varying coefficient modeling using a Gaussian process prior R Guhaniyogi, C Li, TD Savitsky, S Srivastava Journal of machine learning research 23 (84), 1-59, 2022 | 21 | 2022 |
| Bayesian conditional density filtering R Guhaniyogi, S Qamar, DB Dunson arXiv preprint arXiv:1401.3632, 2014 | 21 | 2014 |
| Bayesian generalized sparse symmetric tensor-on-vector regression S Guha, R Guhaniyogi Technometrics 63 (2), 160-170, 2021 | 17 | 2021 |
| Multivariate spatial meta kriging R Guhaniyogi, S Banerjee Statistics & probability letters 144, 3-8, 2019 | 17 | 2019 |
| Joint Bayesian estimation of voxel activation and inter-regional connectivity in fMRI experiments D Spencer, R Guhaniyogi, R Prado psychometrika 85 (4), 845-869, 2020 | 15 | 2020 |
| Joint modeling of longitudinal relational data and exogenous variables R Guhaniyogi, A Rodriguez | 14 | 2020 |
| Bayesian conditional density filtering R Guhaniyogi, S Qamar, DB Dunson Journal of Computational and Graphical Statistics 27 (3), 657-672, 2018 | 10 | 2018 |
| Convergence rate of Bayesian supervised tensor modeling with multiway shrinkage priors R Guhaniyogi Journal of Multivariate Analysis 160, 157-168, 2017 | 8 | 2017 |
| Comments on: Inference for size demography from point pattern data using integral projection models R Guhaniyogi, S Banerjee Journal of Agricultural, Biological, and Environmental Statistics, 678-681, 2012 | 8 | 2012 |
