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Soutir Bandyopadhyay
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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
3142015
A frequency domain empirical likelihood method for irregularly spaced spatial data
S Bandyopadhyay, SN Lahiri, DJ Nordman
The Annals of Statistics 43 (2), 519-545, 2015
402015
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
372009
A test for stationarity for irregularly spaced spatial data
S Bandyopadhyay, SS Rao
342014
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
222011
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
142017
A statistical model of overlapping volume in ligand binding cavities
BY Chen, S Bandyopadhyay
2011 IEEE International Conference on Bioinformatics and Biomedicine …, 2011
142011
Robust estimation for linear panel data models
B Hamiye Beyaztas, S Bandyopadhyay
Statistics in medicine 39 (29), 4421-4438, 2020
92020
Modeling regionalized volumetric differences in protein-ligand binding cavities
BY Chen, S Bandyopadhyay
Proteome Science 10 (1), 1-13, 2012
72012
A model for large multivariate spatial data sets
W Kleiber, D Nychka, S Bandyopadhyay
Statistica Sinica 29 (3), 1085-1104, 2019
62019
Analysis of Sabine river flow data using semiparametric spline modeling
S Bandyopadhyay, A Maity
Journal of hydrology 399 (3-4), 274-280, 2011
62011
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 (1), 168-194, 2018
52018
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
52012
Resampling-based bias-corrected time series prediction
S Bandyopadhyay, SN Lahiri
Journal of statistical planning and inference 140 (12), 3775-3788, 2010
52010
A general frequency domain method for assessing spatial covariance structures
M Van Hala, S Bandyopadhyay, SN Lahiri, DJ Nordman
Bernoulli 26 (4), 2463-2487, 2020
42020
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
32018
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data
MD Bailey, S Bandyopadhyay, DW Nychka
arXiv preprint arXiv:2109.11044, 2021
12021
Rapid numerical approximation method for integrated covariance functions over irregular data regions
P Simonson, D Nychka, S Bandyopadhyay
Stat 9 (1), e275, 2020
12020
On the non-standard distribution of empirical likelihood estimators with spatial data
M Van Hala, S Bandyopadhyay, SN Lahiri, DJ Nordman
Journal of Statistical Planning and Inference 187, 109-114, 2017
12017
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Artikler 1–20