| A multiresolution Gaussian process model for the analysis of large spatial datasets D Nychka, S Bandyopadhyay, D Hammerling, F Lindgren, S Sain Journal of Computational and Graphical Statistics 24 (2), 579-599, 2015 | 333 | 2015 |
| A frequency domain empirical likelihood method for irregularly spaced spatial data S Bandyopadhyay, SN Lahiri, DJ Nordman | 47 | 2015 |
| Asymptotic properties of discrete Fourier transforms for spatial data S Bandyopadhyay, SN Lahiri Sankhyā: The Indian Journal of Statistics, Series A (2008-), 221-259, 2009 | 40 | 2009 |
| A test for stationarity for irregularly spaced spatial data S Bandyopadhyay, SS Rao | 37 | 2014 |
| VASP-S: A volumetric analysis and statistical model for predicting steric influences on protein-ligand binding specificity BY Chen, S Bandyopadhyay 2011 IEEE International Conference on Bioinformatics and Biomedicine, 22-29, 2011 | 22 | 2011 |
| A Spectral Domain Test for Stationarity of Spatio‐Temporal Data S Bandyopadhyay, C Jentsch, S Subba Rao Journal of Time Series Analysis 38 (2), 326-351, 2017 | 14 | 2017 |
| A statistical model of overlapping volume in ligand binding cavities BY Chen, S Bandyopadhyay 2011 IEEE International Conference on Bioinformatics and Biomedicine …, 2011 | 14 | 2011 |
| Robust estimation for linear panel data models B Hamiye Beyaztas, S Bandyopadhyay Statistics in medicine 39 (29), 4421-4438, 2020 | 11 | 2020 |
| A model for large multivariate spatial data sets W Kleiber, D Nychka, S Bandyopadhyay Statistica Sinica 29 (3), 1085-1104, 2019 | 7 | 2019 |
| Modeling regionalized volumetric differences in protein-ligand binding cavities BY Chen, S Bandyopadhyay Proteome science 10 (1), 1-13, 2012 | 7 | 2012 |
| A regionalizable statistical model of intersecting regions in protein–ligand binding cavities BY Chen, S Bandyopadhyay Journal of bioinformatics and computational biology 10 (03), 1242004, 2012 | 6 | 2012 |
| Analysis of Sabine river flow data using semiparametric spline modeling S Bandyopadhyay, A Maity Journal of hydrology 399 (3-4), 274-280, 2011 | 6 | 2011 |
| A Flexible Volumetric Comparison of Protein Cavities Reveals Patterns in Ligand Binding Specificity Z Guo, T Kuhlengel, S Stinson, S Blumenthal, S Bandyopadhyay, ... | 6* | |
| New and fast block bootstrap-based prediction intervals for GARCH (1, 1) process with application to exchange rates BH Beyaztas, U Beyaztas, S Bandyopadhyay, WM Huang Sankhya A 80, 168-194, 2018 | 5 | 2018 |
| A general frequency domain method for assessing spatial covariance structures M Van Hala, S Bandyopadhyay, SN Lahiri, DJ Nordman | 4 | 2020 |
| Asymptotic theory for varying coefficient regression models with dependent data S Bandyopadhyay, A Maity Annals of the institute of statistical mathematics 70 (4), 745-759, 2018 | 3 | 2018 |
| Resampling-based bias-corrected time series prediction S Bandyopadhyay, SN Lahiri Journal of statistical planning and inference 140 (12), 3775-3788, 2010 | 3 | 2010 |
| Data driven robust estimation methods for fixed effects panel data models BH Beyaztas, S Bandyopadhyay Journal of Statistical Computation and Simulation 92 (7), 1401-1425, 2022 | 2 | 2022 |
| Evaluation of Time-Series Gap-Filling Methods for Solar Irradiance Applications A Denhard, S Bandyopadhyay, A Habte, M Sengupta National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021 | 2 | 2021 |
| Adapting conditional simulation using circulant embedding for irregularly spaced spatial data MD Bailey, S Bandyopadhyay, DW Nychka arXiv preprint arXiv:2109.11044, 2021 | 2 | 2021 |
Douglas NychkaProfessor, Applied Mathematics and Statistics, Colorado School of MinesVerificeret mail på mines.edu
