Soutir Bandyopadhyay

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Douglas NychkaProfessor, Applied Mathematics and Statistics, Colorado School of MinesEmail yang diverifikasi di mines.edu
Soumendra LahiriProfessorEmail yang diverifikasi di wustl.edu
Stephan R SainJupiterEmail yang diverifikasi di alumni.rice.edu
Dorit HammerlingAssociate Professor of StatisticsEmail yang diverifikasi di mines.edu
Manajit SenguptaPrincipal Scientist at National Renewable Energy LabEmail yang diverifikasi di nrel.gov
Finn LindgrenUniversity of EdinburghEmail yang diverifikasi di ed.ac.uk
Aron HabteResearch Scientist, National Renewable Energy LaboratoryEmail yang diverifikasi di nrel.gov
Beste Hamiye Beyaztaşİstanbul Medeniyet UniversityEmail yang diverifikasi di medeniyet.edu.tr
Brian Y ChenAssociate Professor of Computer Science and Engineering, Lehigh UniversityEmail yang diverifikasi di cse.lehigh.edu
Maggie BaileyStatistician, Neptune and CompanyEmail yang diverifikasi di neptuneinc.org
Suhasini Subba RaoTexas A&MEmail yang diverifikasi di tamu.edu
Carsten JentschProfessor of Business and Social Statistics, TU Dortmund UniversityEmail yang diverifikasi di statistik.tu-dortmund.de
Jaemo YangNational Renewable Energy LaboratoryEmail yang diverifikasi di nrel.gov
William KleiberProfessor, Department of Applied Mathematics, University of Colorado at BoulderEmail yang diverifikasi di colorado.edu
Arnab MaityNorth Carolina State UniversityEmail yang diverifikasi di ncsu.edu
Yu XieSenior Scientist, National Renewable Energy LaboratoryEmail yang diverifikasi di nrel.gov
Sweta RaiColorado School of MinesEmail yang diverifikasi di mines.edu
Alexis L HoffmanJupiter IntelligenceEmail yang diverifikasi di jupiterintel.com
Jennifer MiskiminsColorado School of MinesEmail yang diverifikasi di mines.edu
Ufuk BeyaztasDepartment of Statistics, Marmara UniversityEmail yang diverifikasi di marmara.edu.tr

Ikuti

Soutir Bandyopadhyay

Colorado School of Mines

Email yang diverifikasi di mines.edu - Beranda

Spatial Data Analysis Time Series Bioinformatics Bootstrap/ Resampling methods Nonparametric regression


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	409	2015
A frequency domain empirical likelihood method for irregularly spaced spatial data S Bandyopadhyay, SN Lahiri, DJ Nordman	55	2015
A test for stationarity for irregularly spaced spatial data S Bandyopadhyay, SS Rao	48	2014
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	46	2009
Robust estimation for linear panel data models B Hamiye Beyaztas, S Bandyopadhyay Statistics in medicine 39 (29), 4421-4438, 2020	25	2020
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	16	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
Fast parameter estimation of generalized extreme value distribution using neural networks S Rai, A Hoffman, S Lahiri, DW Nychka, SR Sain, S Bandyopadhyay Environmetrics 35 (3), e2845, 2024	12	2024
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	11	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	9	2021
A model for large multivariate spatial data sets W Kleiber, D Nychka, S Bandyopadhyay Statistica Sinica 29 (3), 1085-1104, 2019	9	2019
Regridding uncertainty for statistical downscaling of solar radiation MD Bailey, D Nychka, M Sengupta, A Habte, Y Xie, S Bandyopadhyay Advances in Statistical Climatology, Meteorology and Oceanography 9 (2), 103-120, 2023	8	2023
Modeling regionalized volumetric differences in protein-ligand binding cavities BY Chen, S Bandyopadhyay Proteome science 10 (Suppl 1), S6, 2012	7	2012
A general frequency domain method for assessing spatial covariance structures M Van Hala, S Bandyopadhyay, SN Lahiri, DJ Nordman	6	2020
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	6	2018
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*
Statistical analysis of experimental studies of non-Darcy flow in proppant packs KL Ngameni, S Bandyopadhyay, JL Miskimins Journal of Petroleum Science and Engineering 217, 110727, 2022	4	2022

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