Sudipto Banerjee

Orcid: 0000-0002-2239-208X

According to our database1, Sudipto Banerjee authored at least 26 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
bayesassurance: An R Package for Calculating Sample Size and Bayesian Assurance.
R J., September, 2023

Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds.
J. Mach. Learn. Res., 2023

2022
spNNGP <i>R</i> Package for Nearest Neighbor Gaussian Process Models.
J. Stat. Softw., 2022

2021
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework.
CoRR, 2021

2020
Bayesian State Space Modeling of Physical Processes in Industrial Hygiene.
Technometrics, 2020

Bayesian spatially varying coefficient models in the spBayes R package.
Environ. Model. Softw., 2020

2019
Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments.
Stat. Anal. Data Min., 2019

2018
Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets.
Technometrics, 2018

2017
Bayesian Spatial Regression for Multisource Predictive Mapping.
Proceedings of the Encyclopedia of GIS., 2017

2015
An efficient line segmentation approach for handwritten Bangla document image.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

Fine pose estimation of known objects in cluttered scene images.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Bayesian Modeling for Physical Processes in Industrial Hygiene Using Misaligned Workplace Data.
Technometrics, 2014

Process modeling and evaluation of a pilot healthcare technology solution in slum communities.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2014

2013
Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets.
Int. J. Appl. Earth Obs. Geoinformation, 2013

A Robust Approach to Extraction of Texts from Camera Captured Images.
Proceedings of the Camera-Based Document Analysis and Recognition, 2013

2012
Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes.
J. Geogr. Syst., 2012

Approximate Bayesian inference for large spatial datasets using predictive process models.
Comput. Stat. Data Anal., 2012

2011
Mining boundary effects in areally referenced spatial data using the Bayesian information criterion.
GeoInformatica, 2011

Variational Bayesian methods for spatial data analysis.
Comput. Stat. Data Anal., 2011

2009
Spatial statistics: Methods, models & computation.
Comput. Stat. Data Anal., 2009

Improving the performance of predictive process modeling for large datasets.
Comput. Stat. Data Anal., 2009

2008
Bayesian Spatial Regression for Multi-source Predictive Mapping.
Proceedings of the Encyclopedia of GIS., 2008

Hierarchical multiresolution approaches for dense point-level breast cancer treatment data.
Comput. Stat. Data Anal., 2008

2007
Modeling Internet firm survival using Bayesian dynamic models with time-varying coefficients.
Electron. Commer. Res. Appl., 2007

Multilevel modeling using spatial processes: Application to the Singapore housing market.
Comput. Stat. Data Anal., 2007

2005
A dynamic Bayesian analysis of the drivers of Internet firm survival.
Proceedings of the 7th International Conference on Electronic Commerce, 2005


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