Sudipto Banerjee

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Adaptive Gaussian predictive process models for large spatial datasets

A. Gelfand, Rajarshi Guhaniyogi, A. Finley, 2011, Environmetrics.

NONSEPARABLE DYNAMIC NEAREST NEIGHBOR GAUSSIAN PROCESS MODELS FOR LARGE SPATIO-TEMPORAL DATA WITH AN APPLICATION TO PARTICULATE MATTER ANALYSIS.

N. Hamm, A. Finley, Sudipto Banerjee, 2015, The annals of applied statistics.

Spatio-temporal change-point modeling

A. Gelfand, Sudipto Banerjee, Anandamayee Majumdar, 2005 .

Spatial Modeling With Spatially Varying Coefficient Processes

C. F. Sirmans, A. Gelfand, Sudipto Banerjee, 2003 .

Gaussian predictive process models for large spatial data sets

A. Gelfand, A. Finley, Sudipto Banerjee, 2008, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Supplemental Materials to Hierarchical Modeling and Analysis for Spatial Data, 2nd Edition

Bradley P. Carlin, Alan E. Gelfand, Sudipto Banerjee, 2018 .

Nonparametric Hierarchical Modeling for Detecting Boundaries in Areally Referenced Spatial Datasets

Sudipto Banerjee, A. McBean, T. Hanson, 2009 .

Bayesian areal wombling via adjacency modeling

B. Carlin, Sudipto Banerjee, C. Reilly, 2007, Environmental and Ecological Statistics.

Hierarchical and Joint Site-edge Methods for Medicare Hospice Service Region Boundary Analysis Hierarchical and Joint Site-edge Methods for Medicare Hospice Service Region Boundary Analysis

B. Carlin, Sudipto Banerjee, Haijun Ma, 2006 .

Directional Rates of Change Under Spatial Process Models

C. F. Sirmans, A. Gelfand, Sudipto Banerjee, 2003 .

Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota.

B. Carlin, Sudipto Banerjee, M. Wall, 2003, Biostatistics.

A Hierarchical Model for Quantifying Forest Variables Over Large Heterogeneous Landscapes With Uncertain Forest Areas

D. W. MacFarlane, A. Finley, Sudipto Banerjee, 2011, Journal of the American Statistical Association.

Understanding Gaussian Process Fits Using an Approximate Form of the Restricted Likelihood

J. Hodges, Sudipto Banerjee, Maitreyee Bose, 2016 .

Semiparametric Proportional Odds Models for Spatially Correlated Survival Data

Dipak K. Dey, Sudipto Banerjee, D. Dey, 2005, Lifetime data analysis.

Spatial modeling for correlated cancers using bivariate directed graphs

Sudipto Banerjee, A. Datta, Leiwen Gao, 2019, Annals of Cancer Epidemiology.

Modelling geographically referenced survival data with a cure fraction

Sudipto Banerjee, Freda Cooner, Sudipto Banerjee, 2006, Statistical methods in medical research.

Order‐free co‐regionalized areal data models with application to multiple‐disease mapping

Bradley P Carlin, Sudipto Banerjee, Xiaoping Jin, 2007, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Spatial Data Analysis.

Sudipto Banerjee, 2016, Annual review of public health.

Rating Exposure Control Using Bayesian Decision Analysis

Sudipto Banerjee, P. Logan, P. Hewett, 2006, Journal of occupational and environmental hygiene.

Desktop Study of Occupational Exposure Judgments: Do Education and Experience Influence Accuracy?

Sudipto Banerjee, P. Logan, P. Hewett, 2011, Journal of occupational and environmental hygiene.

Toward a diagnostic toolkit for linear models with Gaussian‐process distributed random effects

J. Hodges, Sudipto Banerjee, Maitreyee Bose, 2018, Biometrics.

Spatial Point Patterns

A. Gelfand, B. Carlin, Sudipto Banerjee, 2010 .

A Comparison of the β-Substitution Method and a Bayesian Method for Analyzing Left-Censored Data.

Gurumurthy Ramachandran, Sudipto Banerjee, Patricia A Stewart, 2015, The Annals of occupational hygiene.

Modelling Replicated Weed Growth Data using Spatially-varying Growth Curves

G. Johnson, Sudipto Banerjee, Nick Schneider, 2005, Environmental and Ecological Statistics.

Measurement of the Υ(1S), Υ(2S), and Υ(3S) cross sections in pp collisions at s=7TeV

V. M. Ghete, M. Z. Mehta, S. M. Etesami, 2013 .

Parametric Spatial Cure Rate Models for Interval‐Censored Time‐to‐Relapse Data

Bradley P Carlin, Sudipto Banerjee, B. Carlin, 2004, Biometrics.

Geostatistical modelling for spatial interaction data with application to postal service performance

Alan E. Gelfand, Sudipto Banerjee, Wolfgang Polasek, 2000 .

On Geodetic Distance Computations in Spatial Modeling

Sudipto Banerjee, Sudipto Banerjee, 2005, Biometrics.

Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials

Andrew O. Finley, Sudipto Banerjee, Patrik Waldmann, 2010, Journal of the American Statistical Association.

Spatial Design for Knot Selection in Knot-Based Dimension Reduction Models

Alan E. Gelfand, Andrew O. Finley, Sudipto Banerjee, 2012 .

Bayesian modeling of exposure and airflow using two-zone models.

Gurumurthy Ramachandran, Sudipto Banerjee, Sudipto Banerjee, 2009, The Annals of occupational hygiene.

Heteroscedastic CAR models for areally referenced temporal processes for analyzing California asthma hospitalization data.

B. Carlin, Sudipto Banerjee, Harrison Quick, 2015, Journal of the Royal Statistical Society. Series C, Applied statistics.

Analysis of cure rate survival data under proportional odds model

Sudipto Banerjee, Debajyoti Sinha, Sudipto Banerjee, 2011, Lifetime data analysis.

Bayesian Inference for High Dimensional Changing Linear Regression with Application to Minnesota House Price Index Data

H. Zou, Sudipto Banerjee, A. Datta, 2015, 1510.07129.

Exploration of the use of Bayesian modeling of gradients for censored spatiotemporal data from the Deepwater Horizon oil spill.

Caroline P Groth, B. Carlin, P. Stewart, 2014, Spatial statistics.

Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data.

A. Finley, Sudipto Banerjee, B. Cook, 2019, 1907.10109.

1 Role of Space in Infectious Disease Epidemiology

A. Lawson, R. Haining, Sudipto Banerjee, 2020 .

Multivariate spatial meta kriging.

Sudipto Banerjee, Rajarshi Guhaniyogi, Rajarshi Guhaniyogi, 2019, Statistics & probability letters.

The two basic laws of a spherical triangle

Sudipto Banerjee, 2004 .

Angular coefficients of Z bosons produced in pp collisions at s=8 TeV and decaying to μ+μ- as a function of transverse momentum and rapidity

V. M. Ghete, S. M. Etesami, S. S. Chhibra, 2015 .

Exploring spatial data in R

A. Finley, Sudipto Banerjee, 2009 .

Search for quark contact interactions and extra spatial dimensions using dijet angular distributions in proton-proton collisions at √s = 8 TeV

V. M. Ghete, S. M. Etesami, S. S. Chhibra, 2015 .

Constraints on the Higgs boson width from off-shell production and decay to Z-boson pairs

Joshua R. Smith, V. M. Ghete, S. M. Etesami, 2014 .

A search for pair production of new light bosons decaying into muons

V. M. Ghete, S. M. Etesami, S. S. Chhibra, 2015 .

Performance of dust allergen carpet samplers in controlled laboratory studies

Sudipto Banerjee, J. Adgate, L. McKenzie, 2013, Journal of Exposure Science and Environmental Epidemiology.

2 Infill Asymptotics for Vecchia ’ s approximation with Matérn model 2

Sudipto Banerjee, Wenpin Tang, 2021 .

Multivariate left‐censored Bayesian modeling for predicting exposure using multiple chemical predictors

Caroline P Groth, Sudipto Banerjee, G. Ramachandran, 2018, Environmetrics.

STATISTICAL INFERENCE ON TEMPORAL GRADIENTS IN REGIONALLY AGGREGATED CALIFORNIA ASTHMA HOSPITALIZATION DATA By

B. Carlin, Sudipto Banerjee, Harrison Quick, 2011 .

Search for top-squark pairs decaying into Higgs or Z bosons in pp collisions at √s=8 TeV

V. M. Ghete, S. M. Etesami, S. S. Chhibra, 2014 .

Measurement of the ratio B(t→Wb)/B(t→Wq) in pp collisions at s=8 TeV

S. M. Etesami, S. S. Chhibra, W. A. Khan, 2014 .

Estimates of Occupational Inhalation Exposures to Six Oil-Related Compounds on the Four Rig Vessels Responding to the Deepwater Horizon Oil Spill.

Caroline P Groth, P. Stewart, Sudipto Banerjee, 2020, Annals of work exposures and health.

Basics of areal data models

Bradley P. Carlin, Sudipto Banerjee, Alan E. Gelfand, 2014 .

Associations between airborne crude oil chemicals and symptom-based asthma.

Caroline P Groth, Sudipto Banerjee, G. Pratt, 2022, Environment international.

Bayesian hierarchical framework for occupational hygiene decision making.

Gurumurthy Ramachandran, Sudipto Banerjee, Jennifer Sahmel, 2014, The Annals of occupational hygiene.

Angular analysis and branching fraction measurement of the decay B0→K⁎0μ+μ−

V. M. Ghete, M. Z. Mehta, S. M. Etesami, 2013 .

Correlation between 401(k) Plans and Corporate Financial Performance

Sudipto Banerjee, Sudhir Nanda, Brian Bankert, 2019, The Journal of Retirement.

Exposure Assessment Techniques Applied to the Highly Censored Deepwater Horizon Gulf Oil Spill Personal Measurements.

Caroline P Groth, Sudipto Banerjee, D. Sandler, 2021, Annals of work exposures and health.

Annuity and Lump-Sum Decisions in Defined Benefit Plans: The Role of Plan Rules

Sudipto Banerjee, 2013, EBRI issue brief.

Cokriging with a low-cost sensor network to estimate spatial variation of brake and tire-wear metals and oxidative stress potential in Southern California.

S. Weichenthal, M. Jerrett, Sudipto Banerjee, 2022, Environment international.

Working across space and time: nonstationarity in ecological research and application

Dexter H. Locke, Elise F. Zipkin, A. Finley, 2021, Frontiers in Ecology and the Environment.

A Piece of the Annuitization Puzzle: The Role of Plan Rules in Annuitization Decisions in DB and CB Plans

Sudipto Banerjee, 2014, The Journal of Retirement.

Modelling Association

Sudipto Banerjee, 2005 .

Seismites in Permian Barakar Formation, Raniganj Basin, India: implications on Lower Gondwana basin evolution

Biplab B. Bhattacharya, Sudipto Banerjee, Sandip Bandyopadhyay, 2016, Arabian Journal of Geosciences.

Fine particulate matter and incident coronary heart disease events up to 10 years of follow-up among Deepwater Horizon oil spill workers.

Jessie K. Edwards, Sudipto Banerjee, G. Pratt, 2022, Environmental research.

Own-to-Rent Transitions and Changes in Housing Equity for Older Americans

Sudipto Banerjee, 2012 .

Intra-Family Cash Transfers in Older American Households

Sudipto Banerjee, 2015, EBRI issue brief.

Retirement Age Expectations of Older Americans Between 2006 and 2010

Sudipto Banerjee, 2011 .

Multilevel varying coefficient spatiotemporal model

Connie M. Rhee, Sudipto Banerjee, D. Nguyen, 2021, Stat.

Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods

Sudipto Banerjee, S. Banerjee, Wenpin Tang, 2021, Statistica Sinica.

Multiscale Habitat Selection by Ruffed Grouse at Low Population Densities

Guthrie S. Zimmerman, Sudipto Banerjee, W. Thogmartin, 2009 .

Bayesian Modeling for Physical Processes in Industrial Hygiene Using Misaligned Workplace Data

Gurumurthy Ramachandran, Sudipto Banerjee, João V. D. Monteiro, 2014, Technometrics.

Hierarchical Factor Models for Large Spatially Misaligned Data: A Low‐Rank Predictive Process Approach

Qian Ren, Sudipto Banerjee, Sudipto Banerjee, 2013, Biometrics.

Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes

Alan E. Gelfand, Andrew O. Finley, Sudipto Banerjee, 2012, J. Geogr. Syst..

Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data

Lu Zhang, Sudipto Banerjee, Sudipto Banerjee, 2020, Biometrics.

spBayes for Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models

Andrew O. Finley, Sudipto Banerjee, Alan E.Gelfand, 2013, 1310.8192.

Coregionalized Single‐ and Multiresolution Spatially Varying Growth Curve Modeling with Application to Weed Growth

Sudipto Banerjee, Gregg A Johnson, G. Johnson, 2006, Biometrics.

Expert judgment and occupational hygiene: application to aerosol speciation in the nickel primary production industry.

James H Vincent, Gurumurthy Ramachandran, Sudipto Banerjee, 2003, The Annals of occupational hygiene.

Hierarchical Modeling and Analysis for Spatial Data

Sw. Banerjee, Bradley P. Carlin, Alan E. Gelfand, 2003 .

Nonstationary Nearest Neighbor Gaussian Process: hierarchical model architecture and MCMC sampling

Sudipto Banerjee, B. Liquet, S'ebastien Coube-Sisqueille, 2022, 2203.11873.

Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework pdf

Sudipto Banerjee, Sudipto Banerjee, 2021, ArXiv.

Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework

Sudipto Banerjee, Sudipto Banerjee, 2020, Spatial statistics.

Spatial modeling for correlated cancers using bivariate directed graphs

Sudipto Banerjee, A. Datta, Leiwen Gao, 2019, Annals of Cancer Epidemiology.

Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments †

Sudipto Banerjee, Lu Zhang, Abhirup Datta, 2018, Stat. Anal. Data Min..

High-Dimensional Bayesian Geostatistics.

Sudipto Banerjee, Sudipto Banerjee, 2017, Bayesian analysis.

Variational Bayesian methods for spatial data analysis

James S. Hodges, Andrew O. Finley, Sudipto Banerjee, 2011, Comput. Stat. Data Anal..

Mining boundary effects in areally referenced spatial data using the Bayesian information criterion

Pei Li, Sudipto Banerjee, Alexander M. McBean, 2011, GeoInformatica.

Flexible Cure Rate Modeling Under Latent Activation Schemes

Bradley P Carlin, Sudipto Banerjee, Freda Cooner, 2007, Journal of the American Statistical Association.

Generalized Hierarchical Multivariate CAR Models for Areal Data

Bradley P Carlin, Sudipto Banerjee, Xiaoping Jin, 2005, Biometrics.

Dynamic spatial regression models for space‐varying forest stand tables

Andrew O. Finley, Sudipto Banerjee, Aaron R. Weiskittel, 2014, 1411.0599.

Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models.

James S. Hodges, Sudipto Banerjee, Abhirup Datta, 2017, Bayesian analysis.

Bayesian modeling and uncertainty quantification for descriptive social networks.

Anjana Narayan, Sudipto Banerjee, Thomas Nemmers, 2019, Statistics and its interface.

An analysis of asthma hospitalizations, air pollution, and weather conditions in Los Angeles County, California.

Sudipto Banerjee, Andrew O Finley, Paul L Delamater, 2012, The Science of the total environment.

Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets

Sudipto Banerjee, Alan E Gelfand, Abhirup Datta, 2014, Journal of the American Statistical Association.

Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains

Michele Peruzzi, Andrew O. Finley, Sudipto Banerjee, 2020, Journal of the American Statistical Association.

Seasonal Variability of Culturable Fungal Genera in the House Dust of Inner-City Residences

Sudipto Banerjee, J. Adgate, G. Ramachandran, 2008, Journal of occupational and environmental hygiene.

Indoor Air Quality in Two Urban Elementary Schools—Measurements of Airborne Fungi, Carpet Allergens, CO2, Temperature, and Relative Humidity

Gurumurthy Ramachandran, Sudipto Banerjee, Ken Sexton, 2005, Journal of Occupational and Environmental Hygiene.

Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes

Andrew O. Finley, Douglas C. Morton, Sudipto Banerjee, 2017, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Search for stealth supersymmetry in events with jets, either photons or leptons, and low missing transverse momentum in pp collisions at 8 TeV

S. M. Etesami, S. S. Chhibra, W. A. Khan, 2015 .

PHYSICAL ACTIVITY TRAJECTORIES USING ACTIGRAPH DATA

Sudipto Banerjee, Michael Jerrett, Pierfrancesco Alaimo Di Loro, 2021 .

Chondrites isp. Indicating Late Paleozoic Atmospheric Anoxia in Eastern Peninsular India

Biplab B. Bhattacharya, Sudipto Banerjee, 2014, TheScientificWorldJournal.

Record of tide-wave influence on the coal-bearing Permian Barakar Formation, Raniganj Basin, India

Biplab B. Bhattacharya, Sudipto Banerjee, Sandip Bandyopadhyay, 2012 .

Early Permian transgressive–regressive cycles: Sequence stratigraphic reappraisal of the coal-bearing Barakar Formation, Raniganj Basin, India

Biplab B. Bhattacharya, Sudipto Banerjee, K. Adhikari, 2018, Journal of Earth System Science.

Bayesian Modeling and Analysis of Geostatistical Data.

Sudipto Banerjee, Alan E Gelfand, A. Gelfand, 2017, Annual review of statistics and its application.

Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data

A. Finley, Sudipto Banerjee, B. Cook, 2022, Environmetrics.

Palaeogeographic implications of ichnotaxa assemblages from early Permian fluvio-marine Barakar Formation, Raniganj Basin, India

Biplab B. Bhattacharya, Sudipto Banerjee, Sandip Bandyopadhyay, 2021, Journal of Earth System Science.

Modeled Air Pollution from In Situ Burning and Flaring of Oil and Gas Released Following the Deepwater Horizon Disaster.

P. Stewart, Sudipto Banerjee, G. Pratt, 2020, Annals of work exposures and health.

Butorphanol premedication to facilitate invasive monitoring in cardiac surgery patients before induction of anaesthesia.

Sudipto Banerjee, M. Tripathi, M. Tripathi, 2009, Annals of cardiac anaesthesia.

Bayesian Finite Population Modelingfor Spatial Process Settings

Sudipto Banerjee, Mark S. Handcock, Alec M. Chan-Golston, 2019 .

Bayesian inference for finite populations under spatial process settings

Alec M. Chan-Golston, M. Handcock, Sudipto Banerjee, 2019, Environmetrics.

spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models.

Bradley P Carlin, Sudipto Banerjee, Andrew O Finley, 2007, Journal of statistical software.

Search for narrow resonances using the dijet mass spectrum in pp collisions at √s=8 TeV

Marco Rossini, Grzegorz Wrochna, Anton B. Ivanov, 2013 .

Jet momentum dependence of jet quenching in PbPb collisions at sNN=2.76 TeV

Andrea Benaglia, Steven R. Simon, Marco Rossini, 2012 .

Spatial statistics: Methods, models & computation

Manfred M. Fischer, Peter Congdon, James P. LeSage, 2009, Comput. Stat. Data Anal..

Searches for Higgs bosons in pp collisions at √{ s} = 7 and 8 TeV in the context of four-generation and fermiophobic models

M. Z. Mehta, S. M. Etesami, S. S. Chhibra, 2013 .

Employment Trends by Age in the United States

Sudipto Banerjee, D. Blau, 2016, The Journal of Human Resources.

Employment Trends by Age in the United States

Sudipto Banerjee, D. Blau, 2013, The Journal of Human Resources.

Demography of a high‐density tiger population and its implications for tiger recovery

Sudipto Banerjee, Q. Qureshi, Shikha Bisht, 2019, Journal of Applied Ecology.

Income Composition, Income Trends, and Income Shortfalls of Older Households

Sudipto Banerjee, 2013, EBRI issue brief.

Improving the performance of predictive process modeling for large datasets

Andrew O. Finley, Sudipto Banerjee, Huiyan Sang, 2009, Comput. Stat. Data Anal..

MODELING TEMPORAL GRADIENTS IN REGIONALLY AGGREGATED CALIFORNIA ASTHMA HOSPITALIZATION DATA.

Bradley P Carlin, Sudipto Banerjee, Harrison Quick, 2013, The annals of applied statistics.

Predicting tree biomass growth in the temperate–boreal ecotone: Is tree size, age, competition, or climate response most important?

Sudipto Banerjee, Andrew O Finley, A. Finley, 2016, Global change biology.

B2Z: An R Package for Bayesian Two-Zone Models

Gurumurthy Ramachandran, João V. D. Monteiro, Sw. Banerjee, 2011 .

Spatial Joint Species Distribution Modeling using Dirichlet Processes

Alan E. Gelfand, Sudipto Banerjee, Shinichiro Shirota, 2017, 1711.05646.

Comparison of methods for analyzing left-censored occupational exposure data.

Gurumurthy Ramachandran, Sudipto Banerjee, Patricia A Stewart, 2014, The Annals of occupational hygiene.

HIERARCHICAL SPATIAL MODELS FOR PREDICTING TREE SPECIES ASSEMBLAGES ACROSS LARGE DOMAINS.

Sudipto Banerjee, Andrew O Finley, A. Finley, 2009, The annals of applied statistics.

Trends in Retirement Satisfaction in the United States: Fewer Having a Great Time

Sudipto Banerjee, 2016 .

The effect of landscape position on biomass crop yield.

G. Johnson, Sudipto Banerjee, D. Wyse, 2010 .

On identifiability and consistency of the nugget in Gaussian spatial process models

Lu Zhang, Sudipto Banerjee, Wenpin Tang, 2019, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Expenditure Patterns of Older Americans, 2001-2009

Sudipto Banerjee, 2012, EBRI issue brief.

Geographic Variation in Spending Among Older American Households

Sudipto Banerjee, 2017 .

Change in Household Spending After Retirement: Results from a Longitudinal Sample

Sudipto Banerjee, 2015, EBRI issue brief.

Utilization Patterns and Out-of-Pocket Expenses for Different Health Care Services Among American Retirees

Sudipto Banerjee, 2015, EBRI issue brief.

How Does Household Expenditure Change With Age for Older Americans?

Sudipto Banerjee, 2014 .

Coworker influence on annuitization decisions: Evidence from defined benefit plans

Sudipto Banerjee, Youngkyun Park, 2020 .

Social Interaction at Workplace and the Decision to Annuitize Pension Assets*

Sudipto Banerjee, Youngkyun Park, 2017 .

Elemental composition of fine and coarse particles across the greater Los Angeles area: Spatial variation and contributing sources.

S. Weichenthal, B. Ritz, M. Jerrett, 2021, Environmental pollution.

Advertising conjectures and the nature of advertising competition in an oligopoly

Barry J. Seldon, Sudipto Banerjee, R. Boyd, 1993 .

Emerging Nations: Perspectives on Past Success and Future Challenges*

Sudipto Banerjee, 2015 .

Bayesian Spatial Regression for Multisource Predictive Mapping

Andrew O. Finley, Sudipto Banerjee, A. Finley, 2017, Encyclopedia of GIS.

Scalable inference for space‐time Gaussian Cox processes

Sudipto Banerjee, Shinichiro Shirota, Sudipto Banerjee, 2018, Journal of Time Series Analysis.

Designing a sound GRM: Principles and International Experience

Sudipto Banerjee, Aditi Dimri, 2022 .

Fine Particulate Matter and Lung Function among Burning-Exposed Deepwater Horizon Oil Spill Workers

Sudipto Banerjee, G. Pratt, D. Sandler, 2022, Environmental health perspectives.

Joint species distribution models with imperfect detection for high-dimensional spatial data.

Jeffrey W. Doser, A. Finley, Sudipto Banerjee, 2022, Ecology.

Grid-Parametrize-Split (GriPS) for Improved Scalable Inference in Spatial Big Data Analysis

D. Dunson, A. Finley, Sudipto Banerjee, 2021, 2101.03579.

Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping.

Andrew O. Finley, Douglas C. Morton, Sudipto Banerjee, 2018, Statistica Sinica.

Impact of gentrification on adult mental health.

Sudipto Banerjee, N. Ponce, T. Rice, 2020, Health services research.

Graphical Gaussian Process Models for Highly Multivariate Spatial Data.

Sudipto Banerjee, Abhirup Datta, Debangan Dey, 2020, Biometrika.

On nearest‐neighbor Gaussian process models for massive spatial data

Sudipto Banerjee, Alan E Gelfand, Abhirup Datta, 2016, Wiley interdisciplinary reviews. Computational statistics.

Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian Manifolds

Sudipto Banerjee, Wenpin Tang, Didong Li, 2021, J. Mach. Learn. Res..

2 Infill Asymptotics for Vecchia ’ s approximation 2

Sudipto Banerjee, Wenpin Tang, 2021 .

Fixed-Domain Inference for Gausian Processes with Mat´ern Covariogram on Compact Riemannian Manifolds

Sudipto Banerjee, Wenpin Tang, Didong Li, 2021 .

Norges Teknisk-naturvitenskapelige Universitet Approximate Bayesian Inference for Large Spatial Datasets Using Predictive Process Models Approximate Bayesian Inference for Large Spatial Datasets Using Predictive Process Models

Andrew O. Finley, Jo Eidsvik, Håvard Rue, 2022 .

Bayesian Wombling

Sudipto Banerjee, Alan E Gelfand, A. Gelfand, 2006, Journal of the American Statistical Association.

SMOOTHED ANOVA WITH SPATIAL EFFECTS AS A COMPETITOR TO MCAR IN MULTIVARIATE SPATIAL SMOOTHING.

Sudipto Banerjee, James S Hodges, Yufen Zhang, 2010, The annals of applied statistics.

Volatile Hydrocarbon Exposures and Incident Coronary Heart Disease Events: Up to Ten Years of Follow-up among Deepwater Horizon Oil Spill Workers

Jessie K. Edwards, Sudipto Banerjee, G. Heiss, 2023, Environmental health perspectives.

Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables

Andrew O. Finley, Sudipto Banerjee, Chad Babcock, 2016, 1603.07409.

Exposure to volatile hydrocarbons and neurologic function among oil spill workers up to 6 years after the Deepwater Horizon disaster.

Sudipto Banerjee, F. Gerr, T. Huynh, 2023, Environmental research.

A Bayesian approach to multi-source forest area estimation

Andrew O. Finley, Ronald E. McRoberts, Sudipto Banerjee, 2008, Environmental and Ecological Statistics.

Bayesian spatially varying coefficient models in the spBayes R package

Andrew O. Finley, Sudipto Banerjee, A. Finley, 2019, Environ. Model. Softw..

Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets

John B. Bradford, Andrew O. Finley, Sudipto Banerjee, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Association of Deepwater Horizon Oil Spill Response and Cleanup Work With Risk of Developing Hypertension

Sudipto Banerjee, G. Pratt, T. Huynh, 2022, JAMA network open.

Bayesian modeling for large spatial datasets

Montserrat Fuentes, Sudipto Banerjee, M. Fuentes, 2012, Wiley interdisciplinary reviews. Computational statistics.

Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population

Connie M. Rhee, Sudipto Banerjee, K. Kalantar-Zadeh, 2021, Statistics in medicine.

Effect of training, education, professional experience, and need for cognition on accuracy of exposure assessment decision-making.

Gurumurthy Ramachandran, Sudipto Banerjee, Monika Vadali, 2012, The Annals of occupational hygiene.

Development of a total hydrocarbon ordinal job-exposure matrix for workers responding to the Deepwater Horizon disaster: The GuLF STUDY

Gurumurthy Ramachandran, Sudipto Banerjee, Patricia A Stewart, 2018, Journal of Exposure Science and Environmental Epidemiology.

Bayesian modeling and analysis for gradients in spatiotemporal processes

Bradley P. Carlin, Sudipto Banerjee, Harrison Quick, 2015, Biometrics.

Bayesian Wombling for Spatial Point Processes

Bradley P Carlin, Sudipto Banerjee, Shengde Liang, 2009, Biometrics.

Cumulative Out-of-Pocket Health Care Expenses After the Age of 70

Sudipto Banerjee, 2018 .

High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach

A. Finley, Sudipto Banerjee, Lu Zhang, 2020, Environmetrics.

Multilevel modeling using spatial processes: Application to the Singapore housing market

Alan E. Gelfand, Sudipto Banerjee, C. F. Sirmans, 2007, Comput. Stat. Data Anal..

Web Appendix: Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets

Sudipto Banerjee, Rajarshi Guhaniyogi, Rajarshi Guhaniyogi, 2018 .

Bayesian Models for Detecting Difference Boundaries in Areal Data.

Sudipto Banerjee, Pei Li, Sudipto Banerjee, 2015, Statistica Sinica.

Estimates of Inhalation Exposures to Oil-Related Components on the Supporting Vessels During the Deepwater Horizon Oil Spill.

P. Stewart, Sudipto Banerjee, A. Blair, 2021, Annals of work exposures and health.

Exposure Group Development in Support of the NIEHS GuLF Study.

Sudipto Banerjee, T. Huynh, D. Sandler, 2022, Annals of Work Exposures and Health.

Assessing Exposures from the Deepwater Horizon Oil Spill Response and Clean-up.

Sudipto Banerjee, G. Pratt, T. Huynh, 2022, Annals of Work Exposures and Health.

Using Real-Time Area VOC Measurements to Estimate Total Hydrocarbons Exposures to Workers Involved in the Deepwater Horizon Oil Spill.

Sudipto Banerjee, T. Huynh, D. Sandler, 2021, Annals of Work Exposures and Health.

Linear Relationships Between Total Hydrocarbons and Benzene, Toluene, Ethylbenzene, Xylene, and n-Hexane during the Deepwater Horizon Response and Clean-up.

Sudipto Banerjee, T. Huynh, D. Sandler, 2021, Annals of Work Exposures and Health.

Estimates of Inhalation Exposures among Land Workers during the Deepwater Horizon Oil Spill Clean-up Operations.

P. Stewart, Sudipto Banerjee, A. Blair, 2021, Annals of Work Exposures and Health.

Methods for the Analysis of 26 Million VOC Area Measurements during the Deepwater Horizon Oil Spill Clean-up.

P. Stewart, Sudipto Banerjee, A. Blair, 2021, Annals of work exposures and health.

Bivariate Left‐Censored Bayesian Model for Predicting Exposure: Preliminary Analysis of Worker Exposure during the Deepwater Horizon Oil Spill

P. Stewart, Sudipto Banerjee, A. Blair, 2017, Annals of work exposures and health.

Bayesian Spatial Regression for Multisource Predictive Mapping

Andrew O. Finley, Sudipto Banerjee, A. Finley, 2017, ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems.

Effect of Training on Exposure Judgment Accuracy of Industrial Hygienists

Gurumurthy Ramachandran, Sudipto Banerjee, Monika Vadali, 2012, Journal of occupational and environmental hygiene.

A Compartment Model of Human Mobility and Early Covid-19 Dynamics in NYC

Sudipto Banerjee, Ian Frankenburg, 2021, The New England Journal of Statistics in Data Science.

PERFORMANCE AND PROSPECTS OF MUTUAL FUNDS WITH SPECIAL REFERENCE TO LARGE CAPITAL EQUITY ORIENTED SCHEMES

Sudipto Banerjee, Goyal Meenu, 2017 .

Multi-group Gaussian Processes

Barbara E. Engelhardt, Sudipto Banerjee, Didong Li, 2021, 2110.08411.

Can the Risk of Medical Expenditure Explainthe Wealth Trajectories of Elderly Singles?

Sudipto Banerjee, 2013, The Journal of Retirement.

Bayesian High-Dimensional Regression for Change Point Analysis.

Sw. Banerjee, Abhirup Datta, Hui Zou, 2019, Statistics and its interface.

Towards a Multidimensional Approach to Bayesian Disease Mapping.

Sudipto Banerjee, Miguel A Martinez-Beneito, Paloma Botella-Rocamora, 2017, Bayesian analysis.

On smoothness properties of spatial processes

Alan E. Gelfand, A. Gelfand, Sudipto Banerjee, 2003 .

Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets

A. Gelfand, A. Finley, Sudipto Banerjee, 2014, Journal of the American Statistical Association.

Modeling Internet firm survival using Bayesian dynamic models with time-varying coefficients

Robert J. Kauffman, Bin Wang, Sudipto Banerjee, 2007, Electron. Commer. Res. Appl..

A dynamic Bayesian analysis of the drivers of Internet firm survival

Robert J. Kauffman, Bin Wang, Sudipto Banerjee, 2005, ICEC '05.

Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains

A. Finley, Sudipto Banerjee, M. Peruzzi, 2020, Journal of the American Statistical Association.

Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments †

Sudipto Banerjee, A. Datta, Lu Zhang, 2018, Stat. Anal. Data Min..

Bayesian Linear Model : Gory Details

Sudipto Banerjee, Sudipto Banerjee, Pubh Notes, 2008 .

Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping

Sudipto Banerjee, Abhirup Datta, Leiwen Gao, 2021, Statistics in medicine.

Special topics in spatial process modeling

Bradley P. Carlin, Sudipto Banerjee, Alan E. Gelfand, 2014 .

Overview of spatial data problems

Bradley P. Carlin, Sudipto Banerjee, Alan E. Gelfand, 2014 .

Flexible Cure Rate Modeling Under Latent Activation Schemes

B. Carlin, Sudipto Banerjee, D. Sinha, 2007, Journal of the American Statistical Association.