Sudipto Banerjee

Q: What Schools Are Affiliated With Sudipto Banerjee

Sudipto Banerjee is affiliated with the following schools: University of Calcutta, University of Minnesota, University of California, Los Angeles, University of Connecticut, Presidency University, Kolkata

Sudipto Banerjee's AcademicInfluence.com Rankings

Sudipto Banerjee

Mathematics

#5350

World Rank

#7533

Historical Rank

#1767

USA Rank

Statistics

#380

World Rank

#448

Historical Rank

#126

USA Rank

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Mathematics

Why Is Sudipto Banerjee Influential?

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According to Wikipedia, Sudipto Banerjee is an Indian-American statistician best known for his work on Bayesian hierarchical modeling and inference for spatial data analysis. He is Professor of Biostatistics and Senior Associate Dean in the School of Public Health at the University of California, Los Angeles. He served as the Chair of the Department of Biostatistics at UCLA from 2014 through 2023. He also served as the 2022 President of the International Society for Bayesian Analysis.

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Sudipto Banerjee's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Hierarchical Modeling and Analysis for Spatial Data (2003) (3139)
Gaussian predictive process models for large spatial data sets (2008) (1003)
Spatial Modeling With Spatially Varying Coefficient Processes (2003) (553)
Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets (2014) (474)
Spatial Point Patterns (2010) (416)
Nonstationary multivariate process modeling through spatially varying coregionalization (2004) (329)
Improving the performance of predictive process modeling for large datasets (2009) (267)
spBayes for Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models (2013) (256)
Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota. (2003) (241)
Jet momentum dependence of jet quenching in PbPb collisions at sNN=2.76 TeV (2012) (220)
Generalized Hierarchical Multivariate CAR Models for Areal Data (2005) (217)
spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models. (2007) (193)
Spatial process modelling for univariate and multivariate dynamic spatial data (2005) (185)
Flexible Cure Rate Modeling Under Latent Activation Schemes (2007) (177)
Search for narrow resonances using the dijet mass spectrum in pp collisions at √s=8 TeV (2013) (160)
On Geodetic Distance Computations in Spatial Modeling (2005) (135)
Hierarchical models facilitate spatial analysis of large data sets: a case study on invasive plant species in the northeastern United States. (2009) (131)
Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes (2017) (115)
NONSEPARABLE DYNAMIC NEAREST NEIGHBOR GAUSSIAN PROCESS MODELS FOR LARGE SPATIO-TEMPORAL DATA WITH AN APPLICATION TO PARTICULATE MATTER ANALYSIS. (2015) (102)
Order‐free co‐regionalized areal data models with application to multiple‐disease mapping (2007) (95)
Parametric Spatial Cure Rate Models for Interval‐Censored Time‐to‐Relapse Data (2004) (90)
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 (2015) (88)
Indoor Air Quality in Two Urban Elementary Schools—Measurements of Airborne Fungi, Carpet Allergens, CO2, Temperature, and Relative Humidity (2005) (88)
Directional Rates of Change Under Spatial Process Models (2003) (87)
Angular analysis and branching fraction measurement of the decay B0→K⁎0μ+μ− (2013) (83)
A search for pair production of new light bosons decaying into muons (2015) (83)
Rating Exposure Control Using Bayesian Decision Analysis (2006) (82)
Bayesian areal wombling via adjacency modeling (2007) (81)
Approximate Bayesian inference for large spatial datasets using predictive process models (2012) (74)
Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials (2010) (73)
Semiparametric spatio‐temporal frailty modeling (2003) (70)
Measurement of the ratio B(t→Wb)/B(t→Wq) in pp collisions at s=8 TeV (2014) (70)
Adaptive Gaussian predictive process models for large spatial datasets (2011) (69)
High-Dimensional Bayesian Geostatistics. (2017) (68)
An analysis of asthma hospitalizations, air pollution, and weather conditions in Los Angeles County, California. (2012) (67)
On smoothness properties of spatial processes (2003) (66)
Predicting tree biomass growth in the temperate–boreal ecotone: Is tree size, age, competition, or climate response most important? (2016) (65)
Search for top-squark pairs decaying into Higgs or Z bosons in pp collisions at √s=8 TeV (2014) (65)
Measurement of the Υ(1S), Υ(2S), and Υ(3S) cross sections in pp collisions at s=7TeV (2013) (61)
Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes (2012) (60)
Semiparametric Proportional Odds Models for Spatially Correlated Survival Data (2005) (60)
On nearest‐neighbor Gaussian process models for massive spatial data (2016) (57)
Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets (2018) (57)
Analysis of cure rate survival data under proportional odds model (2011) (55)
Multilevel modeling using spatial processes: Application to the Singapore housing market (2007) (52)
Expert judgment and occupational hygiene: application to aerosol speciation in the nickel primary production industry. (2003) (46)
Comparison of methods for analyzing left-censored occupational exposure data. (2014) (46)
Hierarchical and Joint Site‐Edge Methods for Medicare Hospice Service Region Boundary Analysis (2010) (45)
Bayesian multivariate process modeling for prediction of forest attributes (2008) (45)
The effect of landscape position on biomass crop yield. (2010) (44)
HIERARCHICAL SPATIAL MODELS FOR PREDICTING TREE SPECIES ASSEMBLAGES ACROSS LARGE DOMAINS. (2009) (44)
Spatial Modeling of House Prices Using Normalized Distance-Weighted Sums of Stationary Processes (2004) (41)
Hierarchical Factor Models for Large Spatially Misaligned Data: A Low‐Rank Predictive Process Approach (2013) (41)
A Bayesian approach to multi-source forest area estimation (2008) (40)
A unifying modeling framework for highly multivariate disease mapping (2015) (40)
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (2020) (40)
Working across space and time: nonstationarity in ecological research and application (2021) (40)
Record of tide-wave influence on the coal-bearing Permian Barakar Formation, Raniganj Basin, India (2012) (37)
Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models. (2017) (37)
A Hierarchical Model for Quantifying Forest Variables Over Large Heterogeneous Landscapes With Uncertain Forest Areas (2011) (36)
Bayesian Wombling for Spatial Point Processes (2009) (36)
Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping. (2018) (36)
Modelling geographically referenced survival data with a cure fraction (2006) (36)
Search for quark contact interactions and extra spatial dimensions using dijet angular distributions in proton-proton collisions at √s = 8 TeV (2015) (34)
Bayesian modeling of exposure and airflow using two-zone models. (2009) (34)
Hierarchical Spatial Modeling of Additive and Dominance Genetic Variance for Large Spatial Trial Datasets (2009) (33)
MODELING TEMPORAL GRADIENTS IN REGIONALLY AGGREGATED CALIFORNIA ASTHMA HOSPITALIZATION DATA. (2013) (33)
A Comparison of the β-Substitution Method and a Bayesian Method for Analyzing Left-Censored Data. (2015) (32)
Coregionalized Single‐ and Multiresolution Spatially Varying Growth Curve Modeling with Application to Weed Growth (2006) (31)
SMOOTHED ANOVA WITH SPATIAL EFFECTS AS A COMPETITOR TO MCAR IN MULTIVARIATE SPATIAL SMOOTHING. (2010) (31)
Expenditure Patterns of Older Americans, 2001-2009 (2012) (28)
Development of a total hydrocarbon ordinal job-exposure matrix for workers responding to the Deepwater Horizon disaster: The GuLF STUDY (2018) (28)
Bayesian modeling for large spatial datasets (2012) (28)
Bayesian Wombling (2006) (28)
Towards a Multidimensional Approach to Bayesian Disease Mapping. (2017) (28)
Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments † (2018) (27)
Advertising conjectures and the nature of advertising competition in an oligopoly (1993) (27)
Searches for Higgs bosons in pp collisions at √{ s} = 7 and 8 TeV in the context of four-generation and fermiophobic models (2013) (27)
Bayesian Models for Detecting Difference Boundaries in Areal Data. (2015) (26)
Gradients in Spatial Response Surfaces With Application to Urban Land Values (2006) (26)
Spatial Data Analysis. (2016) (25)
Multiscale Habitat Selection by Ruffed Grouse at Low Population Densities (2009) (25)
Bayesian Modeling and Analysis of Geostatistical Data. (2017) (25)
Variational Bayesian methods for spatial data analysis (2011) (25)
Spatio-temporal change-point modeling (2005) (24)
Spatial Design for Knot Selection in Knot-Based Dimension Reduction Models (2012) (24)
Geostatistical modelling for spatial interaction data with application to postal service performance (2000) (24)
Parametric models for spatially correlated survival data for individuals with multiple cancers (2008) (23)
Employment Trends by Age in the United States: Why Are Older Workers Different? (2013) (23)
Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets (2013) (22)
Mining boundary effects in areally referenced spatial data using the Bayesian information criterion (2011) (22)
Bayesian hierarchical framework for occupational hygiene decision making. (2014) (22)
On identifiability and consistency of the nugget in Gaussian spatial process models (2019) (21)
Seismites in Permian Barakar Formation, Raniganj Basin, India: implications on Lower Gondwana basin evolution (2016) (21)
Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data (2013) (21)
Early Permian transgressive–regressive cycles: Sequence stratigraphic reappraisal of the coal-bearing Barakar Formation, Raniganj Basin, India (2018) (20)
Impact of gentrification on adult mental health. (2020) (19)
Bayesian spatially varying coefficient models in the spBayes R package (2019) (19)
Modeling Internet firm survival using Bayesian dynamic models with time-varying coefficients (2007) (18)
Search for stealth supersymmetry in events with jets, either photons or leptons, and low missing transverse momentum in pp collisions at 8 TeV (2015) (17)
Spatial statistics: Methods, models & computation (2009) (17)
Annuity and Lump-Sum Decisions in Defined Benefit Plans: The Role of Plan Rules (2013) (17)
Spatial Joint Species Distribution Modeling using Dirichlet Processes. (2017) (16)
Bivariate Left‐Censored Bayesian Model for Predicting Exposure: Preliminary Analysis of Worker Exposure during the Deepwater Horizon Oil Spill (2017) (16)
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Modeling Framework. (2020) (16)
spNNGP R Package for Nearest Neighbor Gaussian Process Models (2022) (15)
Modelling spatially correlated survival data for individuals with multiple cancers (2007) (15)
Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data (2020) (14)
Bayesian multi-resolution modeling for spatially replicated data sets with application to forest biomass data (2007) (14)
Modeled Air Pollution from In Situ Burning and Flaring of Oil and Gas Released Following the Deepwater Horizon Disaster. (2020) (14)
Bayesian hierarchical models for spatially misaligned data in R (2014) (14)
Desktop Study of Occupational Exposure Judgments: Do Education and Experience Influence Accuracy? (2011) (14)
Graphical Gaussian Process Models for Highly Multivariate Spatial Data. (2020) (13)
Bayesian Linear Model : Gory Details (2008) (12)
Seasonal Variability of Culturable Fungal Genera in the House Dust of Inner-City Residences (2008) (12)
Multivariate spatial meta kriging. (2019) (12)
Elemental composition of fine and coarse particles across the greater Los Angeles area: Spatial variation and contributing sources. (2021) (11)
Chondrites isp. Indicating Late Paleozoic Atmospheric Anoxia in Eastern Peninsular India (2014) (11)
How Does Household Expenditure Change With Age for Older Americans? (2014) (11)
Hierarchical multiresolution approaches for dense point-level breast cancer treatment data (2008) (10)
Dynamic spatial regression models for space‐varying forest stand tables (2014) (10)
High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach (2020) (10)
Time Trends in Poverty for Older Americans between 2001-2009 (2012) (10)
Demography of a high‐density tiger population and its implications for tiger recovery (2019) (10)
Estimates of Occupational Inhalation Exposures to Six Oil-Related Compounds on the Four Rig Vessels Responding to the Deepwater Horizon Oil Spill. (2020) (10)
B2Z: An R Package for Bayesian Two-Zone Models (2011) (10)
Effect of Training on Exposure Judgment Accuracy of Industrial Hygienists (2012) (10)
Revisiting Spherical Trigonometry with Orthogonal Projectors (2004) (10)
Income Composition, Income Trends, and Income Shortfalls of Older Households (2013) (9)
Improving Crop Model Inference Through Bayesian Melding With Spatially Varying Parameters (2011) (9)
Effect of training, education, professional experience, and need for cognition on accuracy of exposure assessment decision-making. (2012) (9)
Estimates of Inhalation Exposures to Oil-Related Components on the Supporting Vessels During the Deepwater Horizon Oil Spill. (2021) (9)
A Robust Approach to Extraction of Texts from Camera Captured Images (2013) (9)
Bayesian modeling and analysis for gradients in spatiotemporal processes (2015) (9)
Modelling Replicated Weed Growth Data using Spatially-varying Growth Curves (2005) (9)
Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables (2016) (9)
Exposure Group Development in Support of the NIEHS GuLF Study. (2022) (9)
Toward a diagnostic toolkit for linear models with Gaussian‐process distributed random effects (2018) (8)
Retirement Age Expectations of Older Americans Between 2006 and 2010 (2011) (8)
Bayesian wombling: finding rapid change in spatial maps (2015) (8)
Assessing Exposures from the Deepwater Horizon Oil Spill Response and Clean-up. (2022) (7)
Nonparametric Hierarchical Modeling for Detecting Boundaries in Areally Referenced Spatial Datasets (2009) (7)
Multivariate left‐censored Bayesian modeling for predicting exposure using multiple chemical predictors (2018) (7)
Scalable inference for space‐time Gaussian Cox processes (2018) (7)
A dynamic Bayesian analysis of the drivers of Internet firm survival (2005) (7)
Employment Trends by Age in the United States (2016) (7)
Bayesian areal wombling using false discovery rates (2012) (7)
Spatial Autoregressive Models (2008) (7)
Supplemental Materials to Hierarchical Modeling and Analysis for Spatial Data, 2nd Edition (2018) (7)
Bayesian inference for finite populations under spatial process settings (2019) (6)
Linear Relationships Between Total Hydrocarbons and Benzene, Toluene, Ethylbenzene, Xylene, and n-Hexane during the Deepwater Horizon Response and Clean-up. (2021) (6)
How Do Financial Literacy and Financial Behavior Vary by State? (2011) (6)
Estimates of Inhalation Exposures among Land Workers during the Deepwater Horizon Oil Spill Clean-up Operations. (2021) (6)
Heteroscedastic conditional auto‐regression models for areally referenced temporal processes for analysing California asthma hospitalization data (2015) (6)
Hierarchical Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping (2021) (6)
Exploration of the use of Bayesian modeling of gradients for censored spatiotemporal data from the Deepwater Horizon oil spill. (2014) (6)
Methods for the Analysis of 26 Million VOC Area Measurements during the Deepwater Horizon Oil Spill Clean-up. (2021) (6)
R package for Nearest Neighbor Gaussian Process models (2020) (5)
Effects of Nursing Home Stays on Household Portfolios (2012) (5)
Utilization Patterns and Out-of-Pocket Expenses for Different Health Care Services Among American Retirees (2015) (5)
Trends in Retirement Satisfaction in the United States: Fewer Having a Great Time (2016) (5)
Own-to-Rent Transitions and Changes in Housing Equity for Older Americans (2012) (5)
Using Real-Time Area VOC Measurements to Estimate Total Hydrocarbons Exposures to Workers Involved in the Deepwater Horizon Oil Spill. (2021) (5)
Bayesian High-Dimensional Regression for Change Point Analysis. (2019) (5)
Exposure Assessment Techniques Applied to the Highly Censored Deepwater Horizon Gulf Oil Spill Personal Measurements. (2021) (5)
Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population (2021) (5)
Palaeogeographic implications of ichnotaxa assemblages from early Permian fluvio-marine Barakar Formation, Raniganj Basin, India (2021) (4)
Essential Geodesics for the Spatial Statistician (2003) (4)
Intra-Family Cash Transfers in Older American Households (2015) (4)
- Basics of point-referenced data models (2014) (4)
Grid-Parametrize-Split (GriPS) for Improved Scalable Inference in Spatial Big Data Analysis (2021) (4)
Differences in Out-of-Pocket Health Care Expenses of Older Single and Couple Households (2016) (4)
Coastline Kriging: A Bayesian Approach. (2018) (4)
SUPPLEMENT: NON-SEPARABLE DYNAMIC NEAREST-NEIGHBOR GAUSSIAN PROCESS MODELS FOR LARGE SPATIO-TEMPORAL DATA WITH AN APPLICATION TO PARTICULATE MATTER ANALYSIS (2016) (4)
Comments on: Inference for Size Demography From Point Pattern Data Using Integral Projection Models (2012) (3)
Spatial modeling for correlated cancers using bivariate directed graphs (2019) (3)
Butorphanol premedication to facilitate invasive monitoring in cardiac surgery patients before induction of anaesthesia. (2009) (3)
Performance of dust allergen carpet samplers in controlled laboratory studies (2013) (3)
Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data. (2019) (3)
Bayesian Modeling for Physical Processes in Industrial Hygiene Using Misaligned Workplace Data (2014) (3)
Glossifungites Ichnofabric Signifying Crustacean Colonization in Early Permian Barakar Formation, Talchir Coal Basin, India (2016) (3)
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data (2022) (3)
The Gap Between Expected and Actual Retirement: Evidence From Longitudinal Data (2014) (3)
Model-Based Geostatistics by Diggle, P. J. and Ribeiro, P. J (2008) (3)
Association of Deepwater Horizon Oil Spill Response and Cleanup Work With Risk of Developing Hypertension (2022) (3)
A Look at the End-of-Life Financial Situation in America (2015) (2)
Modelling Association (2005) (2)
Hierarchical dynamic time-to-event models for post-treatment preventive care data on breast cancer survivors (2009) (2)
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping (2022) (2)
Heteroscedastic CAR models for areally referenced temporal processes for analyzing California asthma hospitalization data. (2015) (2)
IRA Withdrawals: How Much, When, and Other Savings Behavior (2013) (2)
Spatial Boundary Detection for Areal Counts (2015) (2)
Bayesian modeling and uncertainty quantification for descriptive social networks. (2019) (2)
Scalable Predictions for Spatial Probit Linear Mixed Models Using Nearest Neighbor Gaussian Processes (2022) (2)
Bayesian finite-population inference with spatially correlated measurements (2022) (2)
PERFORMANCE AND PROSPECTS OF MUTUAL FUNDS WITH SPECIAL REFERENCE TO LARGE CAPITAL EQUITY ORIENTED SCHEMES (2017) (2)
Spatial Difference Boundary Detection for Multiple Outcomes Using Bayesian Disease Mapping. (2022) (2)
Geostatistical Modeling for Environmental Processes (2019) (2)
Hierarchical modeling for univariate spatial data (2014) (2)
High-dimensional Multivariate Geostatistics: A Conjugate Bayesian Matrix-Normal Approach (2020) (2)
Cumulative Out-of-Pocket Health Care Expenses After the Age of 70 (2018) (2)
Fixed-Domain Inference for Gausian Processes with Matérn Covariogram on Compact Riemannian Manifolds (2021) (2)
Associations between airborne crude oil chemicals and symptom-based asthma. (2022) (2)
Fine Particulate Matter and Lung Function among Burning-Exposed Deepwater Horizon Oil Spill Workers (2022) (2)
Joint species distribution models with imperfect detection for high-dimensional spatial data (2022) (2)
Take it or Leave it? The Disposition of DC Accounts: Who Rolls Over into an IRA? Who Leaves Money in the Plan and Who Withdraws Cash? (2014) (2)
Social Interaction at Workplace and the Decision to Annuitize Pension Assets* (2017) (1)
Correlation between 401(k) Plans and Corporate Financial Performance (2019) (1)
Coworker influence on annuitization decisions: Evidence from defined benefit plans (2020) (1)
Inference for Gaussian Processes with Mat\'ern Covariogram on Compact Riemannian Manifolds (2021) (1)
Bayesian Inference for High Dimensional Changing Linear Regression with Application to Minnesota House Price Index Data (2015) (1)
Data from: Demography of a high density tiger population and its implications for tiger recovery (2019) (1)
A Compartment Model of Human Mobility and Early Covid-19 Dynamics in NYC (2021) (1)
A PRICING PLAYBOOK FOR EMERGING MARKETS (2017) (1)
Multi-group Gaussian Processes (2021) (1)
Modeling large spatial and spatiotemporal datasets (2014) (1)
Change in Household Spending After Retirement: Results from a Longitudinal Sample (2015) (1)
Fine particulate matter and incident coronary heart disease events up to 10 years of follow-up among Deepwater Horizon oil spill workers. (2022) (1)
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework (2021) (1)
Models for multivariate areal data (2014) (1)
Hierarchical Modelling for Multivariate Spatial Data Geography 890 , Hierarchical Bayesian Models for Environmental Spatial Data Analysis (2010) (1)
A Piece of the Annuitization Puzzle: The Role of Plan Rules in Annuitization Decisions in DB and CB Plans (2014) (1)
A nearest‐neighbour Gaussian process spatial factor model for censored, multi‐depth geochemical data (2022) (1)
Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods (2021) (1)
Fine pose estimation of known objects in cluttered scene images (2015) (1)
How Does Household Income Change in the Ten Years Around Age 65? (2013) (1)
Bayesian Modeling with Spatial Curvature Processes (2023) (1)
The bi-annual meeting GEOMED was held in October 2011 in Victoria, British Columbia, Canada. Introduction. (2012) (1)
A Piece of the Annuity Puzzle: The Influence of Plan Design on Annuitization Decisions (2013) (0)
A Note on the comparison of Nearest Neighbor Gaussian Process (NNGP) based models (2018) (0)
Nonstationary Nearest Neighbor Gaussian Process: hierarchical model architecture and MCMC sampling (2022) (0)
Editorial (2012) (0)
PREFACE AND ACKNOWLEDGEMENTS TO THE SECOND EDITION (2018) (0)
Multivariate spatial modelling in a Bayesian setting (2000) (0)
Exploring spatial data in R (2009) (0)
Bayesian Spatial Regression for Multisource Predictive Mapping (2017) (0)
Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes [R package spNNGP version 0.1.4] (2020) (0)
- Multivariate spatial modeling for point-referenced data (2014) (0)
Understanding Gaussian Process Fits Using an Approximate Form of the Restricted Likelihood (2016) (0)
Special topics in spatial process modeling (2014) (0)
0296 The NIEHS GuLF STUDY: Correlations of Concentrations Between Various Oil Chemicals and Total Hydrocarbons (2014) (0)
bayesassurance: An R package for calculating sample size and Bayesian assurance (2022) (0)
Designing a sound GRM: Principles and International Experience (0)
Multilevel varying coefficient spatiotemporal model (2021) (0)
The two basic laws of a spherical triangle (2004) (0)
Tax Preferences and Mandates: Is the Danish Savings Experience Applicable to the United States? (2013) (0)
Assessment of flood vulnerability at village level for Kandi block of Murshidabad district , West Bengal (2016) (0)
1 Role of Space in Infectious Disease Epidemiology (2020) (0)
LIFETIME PARTICIPATION IN PLANS (2014) (0)
MCMC algorithms for fitting Bayesian models (2007) (0)
The NIEHS gulf study (2014) (0)
2 Infill Asymptotics for Vecchia ’ s approximation 2 (2021) (0)
Bayesian State Space Modeling of Physical Processes in Industrial Hygiene (2018) (0)
Emerging Nations: Perspectives on Past Success and Future Challenges* (2015) (0)
How Does the Level of Household Savings Affect Preference for Immediate Annuities? (2017) (0)
0304 The NIEHS GuLF STUDY: Estimate of workers’ exposures through the inhalation route on seven response vessels near the well-site during the Deepwater Horizon oil spill (2014) (0)
Conjugate Bayesian Regression Models for Massive Geostatistical Data Sets (2020) (0)
Cokriging with a low-cost sensor network to estimate spatial variation of brake and tire-wear metals and oxidative stress potential in Southern California. (2022) (0)
Book Reviews (2015) (0)
Hierarchical Bayesian Models and their Implementation in Multivariate Disease Mapping (2005) (0)
Hybrid cardiac surgical procedure: technique and anaesthetic management. (2006) (0)
Overview of spatial data problems (2014) (0)
Antimicrobial resistance: Causes and impact on public health in developed and developing countries (2020) (0)
Essays in Economics of Aging (2011) (0)
2 Infill Asymptotics for Vecchia ’ s approximation with Matérn model 2 (2021) (0)
Basics of areal data models (2014) (0)
Bayesian Finite Population Modelingfor Spatial Process Settings (2019) (0)
Singular Value and Jordan Decompositions (2014) (0)
Bayesian Spatial Modeling for Housing Data in South Africa (2020) (0)
Title Bivariate Left-Censored Bayesian Model for Predicting Exposure : Preliminary Analysis of Worker Exposure during the Deepwater Horizon Oil Spill (2015) (0)
STATISTICAL INFERENCE ON TEMPORAL GRADIENTS IN REGIONALLY AGGREGATED CALIFORNIA ASTHMA HOSPITALIZATION DATA By (2011) (0)
PHYSICAL ACTIVITY TRAJECTORIES USING ACTIGRAPH DATA (2021) (0)
Can the Risk of Medical Expenditure Explainthe Wealth Trajectories of Elderly Singles? (2013) (0)
Spending Adjustments Made by Older Americans to Save Money (2012) (0)
On Tensor-based Multidimensional Models for Disease Mapping (2015) (0)
General banking system Of IFIC Bank Ltd. (2015) (0)
Safety-First Retirement Planning: An Integrated Approach for a Worry-Free Retirement Wade Pfau (2020) (0)
Univariate and Multivariate Spatial-Temporal Modeling [R package spBayes version 0.4-3] (2020) (0)
Process modeling and evaluation of a pilot healthcare technology solution in slum communities (2014) (0)
Propofol and fentanyl take longer for induction of anesthesia in aortic regurgitation: a case-controlled prospective study. (2014) (0)
Exposure to Spill-related Chemicals and Incident Myocardial Infarction among Deepwater Horizon Response and Cleanup Workers (2021) (0)
Comments on: Process modeling for slope and aspect with application to elevation data maps (2018) (0)
Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes (2011) (0)
Publication Output with Citation based Performance of Selected DBT Institutes in India (2021) (0)
average or kernel convolution of a process : (2012) (0)
Going Green in IT (2012) (0)
Geographic Variation in Spending Among Older American Households (2017) (0)
- Some theory for point-referenced data models (2014) (0)
Bayesian Models for Multivariate Difference Boundary Detection in Areal Data (2022) (0)
Comments on: Inference for Size Demography From Point Pattern Data Using Integral Projection Models (2012) (0)
Exact Bayesian Geostatistics Using Predictive Stacking (2023) (0)
0300 The NIEHS GuLF STUDY: A comparison of the β-substitution method and a Bayesian approach for handling highly censored measurement data (2014) (0)
Discussion of “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning” (2022) (0)
Multivariate Spatial Models (2016) (0)
A Bayesian multilevel time‐varying framework for joint modeling of hospitalization and survival in patients on dialysis (2022) (0)
Forest inventory using sparsely sampled LIDAR and NFI: A case study using G-LiHT LiDAR and FIA across Tanana, Alaska (2023) (0)
Exposure to Volatile Hydrocarbons and Neurologic Function Among Oil Spill Workers Up to 6 Years after The Deepwater Horizon Disaster (2023) (0)
Dynamic Bayesian Learning and Calibration of Spatiotemporal Mechanistic Systems (2022) (0)
Bayesian Hierarchical Modeling and Analysis for Actigraph Data from Wearable Devices (2021) (0)
Models to support forest inventory and small area estimation using sparsely sampled LiDAR: A case study involving G-LiHT LiDAR in Tanana, Alaska (2023) (0)
Comments on: Process modeling for slope and aspect with application to elevation data maps (2018) (0)
Point-referenced spatial modeling (2013) (0)
Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data (2013) (0)
Using Geographically Weighted Linear Regression for County-Level Breast Cancer Modeling in the United States (2022) (0)
Appendix: Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets Densities on directed acyclic graphs (2015) (0)
On the Relationship between Graphical Gaussian Processes and Functional Gaussian Graphical Models (2022) (0)
Discussion on “Spatial prediction in the presence of positional error” (2011) (0)

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