Alan E. Gelfand

Q: What Schools Are Affiliated With Alan E. Gelfand

Alan E. Gelfand is affiliated with the following schools: Stanford University, University of Chicago, University of Connecticut, Duke University

Alan E. Gelfand's AcademicInfluence.com Rankings

Alan E. Gelfand

Mathematics

#2886

World Rank

#4365

Historical Rank

#1112

USA Rank

Statistics

#181

World Rank

#230

Historical Rank

#78

USA Rank

mathematics Degrees

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Mathematics

Alan E. Gelfand's Degrees

PhD Statistics University of Chicago
Masters Statistics University of Chicago

Why Is Alan E. Gelfand Influential?

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According to Wikipedia, Alan Enoch Gelfand is an American statistician, and is currently the James B. Duke Professor of Statistics and Decision Sciences at Duke University. Gelfand’s research includes substantial contributions to the fields of Bayesian statistics, spatial statistics and hierarchical modeling.

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Alan E. Gelfand'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

Sampling-Based Approaches to Calculating Marginal Densities (1990) (7286)
Hierarchical Modeling and Analysis for Spatial Data (2003) (3139)
Bayesian Model Choice: Asymptotics and Exact Calculations (1994) (1303)
Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling (1990) (1076)
Gaussian predictive process models for large spatial data sets (2008) (1003)
Bayesian statistics without tears: A sampling-resampling perspective (1992) (1002)
Model choice: A minimum posterior predictive loss approach (1998) (772)
Model Determination Using Predictive Distributions with Implementation via Sampling-Based Methods (1992) (734)
Hierarchical Bayesian Analysis of Changepoint Problems (1992) (603)
Spatial Modeling With Spatially Varying Coefficient Processes (2003) (553)
Hierarchical Spatio-Temporal Mapping of Disease Rates (1997) (534)
Bayesian Analysis of Constrained Parameter and Truncated Data Problems (1991) (482)
Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets (2014) (474)
Proper multivariate conditional autoregressive models for spatial data analysis. (2003) (441)
Handbook of spatial statistics (2010) (441)
Spatial Point Patterns (2010) (416)
Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing (2005) (399)
Model Determination using sampling-based methods (1996) (384)
Building statistical models to analyze species distributions. (2006) (353)
Bayesian Analysis of Linear and Non‐Linear Population Models by Using the Gibbs Sampler (1994) (329)
Nonstationary multivariate process modeling through spatially varying coregionalization (2004) (329)
The Nested Dirichlet Process (2008) (319)
Efficient parametrisations for normal linear mixed models (1995) (303)
Identifiability, Improper Priors, and Gibbs Sampling for Generalized Linear Models (1999) (268)
Improving the performance of predictive process modeling for large datasets (2009) (267)
A Spatio-Temporal Downscaler for Output From Numerical Models (2010) (254)
Zero-inflated models with application to spatial count data (2002) (243)
Hierarchical modeling for extreme values observed over space and time (2009) (220)
Bayesian Semiparametric Median Regression Modeling (2001) (213)
A future for models and data in environmental science. (2006) (198)
On the change of support problem for spatio-temporal data. (2001) (198)
More than the sum of the parts: forest climate response from joint species distribution models. (2014) (197)
A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models (2002) (194)
Generalized spatial dirichlet process models (2007) (189)
Spatial process modelling for univariate and multivariate dynamic spatial data (2005) (185)
Space‐Time Data fusion Under Error in Computer Model Output: An Application to Modeling Air Quality (2012) (171)
Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4 T-Cell Numbers (1992) (162)
A Bayesian coregionalization approach for multivariate pollutant data (2003) (151)
A Computational Approach for Full Nonparametric Bayesian Inference Under Dirichlet Process Mixture Models (2002) (148)
Continuous Spatial Process Models for Spatial Extreme Values (2010) (148)
The Dynamics of Location in Home Price (2004) (147)
Modelling species diversity through species level hierarchical modelling (2005) (146)
Explaining Species Distribution Patterns through Hierarchical Modeling (2006) (144)
Efficient generation of random variates via the ratio-of-uniforms method (1991) (133)
Dirichlet Process Mixed Generalized Linear Models (1997) (126)
Discussion on the paper by Spiegelhalter, Best, Carlin and van der Linde (2002) (124)
High-Resolution Space–Time Ozone Modeling for Assessing Trends (2007) (120)
Spatio-temporal modeling of fine particulate matter (2006) (118)
Hierarchical Spatio-Temporal Mapping of Disease (1996) (115)
Approaches for optimal sequential decision analysis in clinical trials. (1998) (113)
A bivariate space-time downscaler under space and time misalignment. (2010) (112)
Bayesian Variogram Modeling for an Isotropic Spatial Process (1997) (112)
Fully Model-Based Approaches for Spatially Misaligned Data (2000) (110)
Spatial Quantile Multiple Regression Using the Asymmetric Laplace Process (2012) (106)
Nonparametric Bayesian bioassay including ordered polytomous response (1991) (105)
Hierarchical Modelling for the Environmental Sciences: Statistical Methods and Applications (2006) (104)
Spatio-Temporal Modeling of Residential Sales Data (1998) (103)
Hybrid Dirichlet mixture models for functional data (2009) (102)
Multivariate Spatial Modeling for Geostatistical Data Using Convolved Covariance Functions (2007) (98)
Dual impacts of climate change: forest migration and turnover through life history (2014) (95)
Spatial statistics and Gaussian processes: A beautiful marriage (2016) (91)
Tropical deforestation in Madagascar: analysis using hierarchical, spatially explicit, Bayesian regression models (2005) (89)
Efficient parametrizations for generalized linear mixed models, (with discussion). (1996) (88)
Bayesian analysis of proportional hazards models built from monotone functions. (1995) (87)
Directional Rates of Change Under Spatial Process Models (2003) (87)
Point pattern modelling for degraded presence‐only data over large regions (2011) (85)
Approaches for Empirical Bayes Confidence Intervals (1990) (84)
Maternal age, birth order, and race: differential effects on birthweight (2010) (84)
Generalized linear models with unknown link functions (1994) (84)
Gibbs Sampling for Marginal Posterior Expectations (1991) (81)
Spatial analysis of wave direction data using wrapped Gaussian processes (2012) (78)
Directional data analysis under the general projected normal distribution. (2013) (77)
Bayesian Analysis of ARMA Processes: Complete Sampling Based Inference Under Full Likelihoods (1996) (76)
Bayesian Nonparametric Functional Data Analysis Through Density Estimation. (2009) (76)
Predicting Spatial Patterns of House Prices Using LPR and Bayesian Smoothing (2002) (76)
On Markov Chain Monte Carlo Acceleration (1994) (74)
Fusing point and areal level space–time data with application to wet deposition (2010) (73)
A Hierarchical Bayesian model of wildfire in a Mediterranean biodiversity hotspot: Implications of weather variability and global circulation (2010) (71)
Adaptive Gaussian predictive process models for large spatial datasets (2011) (69)
Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes (2014) (66)
On smoothness properties of spatial processes (2003) (66)
Bayesian Modeling and Inference for Geometrically Anisotropic Spatial Data (1999) (66)
Modeling Disease Incidence Data with Spatial and Spatio Temporal Dirichlet Process Mixtures (2008) (66)
A Note on Overdispersed Exponential Families (1990) (65)
A simulation-intensive approach for checking hierarchical models (1998) (63)
Maximum-likelihood estimation for constrained- or missing-data models (1993) (63)
Bayesian Semiparametric Regression for Median Residual Life (2003) (62)
Hierarchical Modeling for Spatial Data Problems. (2012) (61)
Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes (2012) (60)
Suppression and failures in sensor networks: a Bayesian approach (2007) (59)
On the effect of preferential sampling in spatial prediction (2012) (58)
A Study of Poisson's Models for Jury Verdicts in Criminal and Civil Trials (1973) (58)
On nearest‐neighbor Gaussian process models for massive spatial data (2016) (57)
Apartment Rent Prediction Using Spatial Modeling (2006) (57)
Disparities in Maternal Hypertension and Pregnancy Outcomes: Evidence from North Carolina, 1994–2003 (2010) (55)
A Sample Reuse Method for Accurate Parametric Empirical Bayes Confidence Intervals (1991) (53)
A Simple Bayesian Procedure for Estimation in a Conjoint Model (1983) (52)
Multilevel modeling using spatial processes: Application to the Singapore housing market (2007) (52)
Modeling large scale species abundance with latent spatial processes (2010) (52)
A spatial measure of neighborhood level racial isolation applied to low birthweight, preterm birth, and birthweight in North Carolina. (2011) (51)
Slice sampling for simulation based fitting of spatial data models (2005) (50)
Gibbs Sampling (2000) (49)
Modeling Expert Opinion Arising as a Partial Probabilistic Specification (1995) (49)
Space and circular time log Gaussian Cox processes with application to crime event data (2016) (49)
An iterative Monte Carlo method for nonconjugate Bayesian analysis (1991) (48)
Hierarchical regression with misaligned spatial data: relating ambient ozone and pediatric asthma ER visits in Atlanta (2003) (46)
Approximately optimal spatial design approaches for environmental health data (2006) (45)
ANALYSIS OF MINNESOTA COLON AND RECTUM CANCER POINT PATTERNS WITH SPATIAL AND NONSPATIAL COVARIATE INFORMATION. (2009) (45)
Misaligned Spatial Data: The Change of Support Problem (2010) (45)
Latent Stick-Breaking Processes (2010) (43)
Overdispersed Generalized Linear Models (1997) (42)
Handbook of Environmental and Ecological Statistics (2019) (42)
Spatial Regression Modeling for Compositional Data With Many Zeros (2013) (42)
Improved estimation of the disturbance variance in a linear regression model (1988) (41)
Spatial Modeling of House Prices Using Normalized Distance-Weighted Sums of Stationary Processes (2004) (41)
Nonparametric Bayesian Modeling for Stochastic Order (2001) (41)
Bayesian Inference and Model Assessment for Spatial Point Patterns Using Posterior Predictive Samples (2017) (41)
Prediction, interpolation and regression for spatially misaligned data (2002) (40)
Semiparametric errors-in-variables models A Bayesian approach (1996) (40)
Quantifying threats to biodiversity from invasive alien plants and other factors: a case study from the Cape Floristic Region (2004) (39)
Spatial modeling for groundwater arsenic levels in North Carolina. (2011) (39)
Modeling Jury Verdicts in the American Legal System (1974) (38)
Exact moment calculations for genetic models with migration, mutation, and drift. (2003) (38)
Joint Species Distribution Modeling: Dimension Reduction Using Dirichlet Processes (2017) (38)
Stationary Process Approximation for the Analysis of Large Spatial Datasets (2005) (37)
Empirical Bayes Methods for Combining Likelihoods: Comment (1996) (37)
[Practical Markov Chain Monte Carlo]: Comment (1992) (35)
Scaling up: linking field data and remote sensing with a hierarchical model (2011) (35)
Proportional hazards models: a latent competing risk approach (2000) (35)
Analyzing the Decision-Making Process of the American Jury (1975) (34)
A Nonparametric Bayesian Modeling Approach for Cytogenetic Dosimetry (2002) (33)
Modeling Space-Time Data Using Stochastic Differential Equations (2009) (32)
Socioeconomics drive woody invasive plant richness in New England, USA through forest fragmentation (2013) (31)
Modelling the cumulative risk for a false-positive under repeated screening events. (2000) (31)
Multivariate Spatial Process Models (2021) (30)
Preferential sampling for presence/absence data and for fusion of presence/absence data with presence-only data (2018) (30)
Inference for Size Demography From Point Pattern Data Using Integral Projection Models (2012) (30)
Spatio-temporal circular models with non-separable covariance structure (2016) (29)
Spatial modeling and prediction under stationary non-geometric range anisotropy (2003) (29)
Joint spatio-temporal analysis of a linear and a directional variable: space-time modeling of wave heights and wave directions in the Adriatic Sea (2014) (29)
On nonparametric Bayesian inference for the distribution of a random sample (1995) (29)
Bayesian Wombling (2006) (28)
Inferential ecosystem models, from network data to prediction. (2011) (27)
On the use of a PM2.5 exposure simulator to explain birthweight (2011) (27)
Modeling daily flowering probabilities: expected impact of climate change on Japanese cherry phenology (2014) (27)
A multivariate spatial mixture model for areal data: examining regional differences in standardized test scores (2014) (26)
Analyzing spatial point patterns subject to measurement error (2010) (26)
Gradients in Spatial Response Surfaces With Application to Urban Land Values (2006) (26)
Bayesian Modeling and Analysis of Geostatistical Data. (2017) (25)
ON BAYESIAN ROBUSTNESS OF CONTAMINATED CLASSES OF PRIORS (1991) (25)
SPATIAL NONPARAMETRIC BAYESIAN MODELS (2001) (25)
Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets (2013) (24)
Geostatistical modelling for spatial interaction data with application to postal service performance (2000) (24)
Spatio-temporal change-point modeling (2005) (24)
Spatial Design for Knot Selection in Knot-Based Dimension Reduction Models (2012) (24)
Spatial modelling of multinomial data with latent structure: an application to geographical mapping of human gene and haplotype frequencies. (2000) (24)
Combining monitoring data and computer model output in assessing environmental exposure (2010) (23)
Seriation Methods for Archaeological Materials (1971) (23)
Modelling map positional error to infer true feature location (2006) (22)
The Dirichlet labeling process for clustering functional data (2011) (22)
Investigating tropical deforestation using two-stage spatially misaligned regression models (2002) (21)
On the Estimation of a Variance Ratio. (1988) (21)
The k‐ZIG: Flexible Modeling for Zero‐Inflated Counts (2012) (21)
INTERPRETING SELF-ORGANIZING MAPS THROUGH SPACE-TIME DATA MODELS (2008) (21)
A data fusion approach for spatial analysis of speciated PM2.5 across time (2015) (21)
Parametric likelihood inference for record breaking problems (1993) (20)
Imputation of confidential data sets with spatial locations using disease mapping models (2014) (20)
Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach (2007) (20)
Spatial Regression Using Kernel Averaged Predictors (2011) (20)
Analyzing Real Estate Data Problems Using the Gibbs Sampler (1998) (19)
Joint Bayesian analysis of birthweight and censored gestational age using finite mixture models (2010) (19)
On the calibration of Bayesian model choice criteria (2003) (17)
Inequalities between expected marginal log‐likelihoods, with implications for likelihood‐based model complexity and comparison measures (2003) (17)
Spatial Joint Species Distribution Modeling using Dirichlet Processes. (2017) (16)
Markov-modulated Marked Poisson Processes for Check-in Data (2016) (15)
Hybrid Dirichlet processes for functional data. (2007) (15)
A system theoretic approach to the management of complex organizations: Management by exception, priority, and input span in a class of fixed‐structure models (1979) (14)
Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4+ Counts. (1992) (14)
Assessing exceedance of ozone standards: a space‐time downscaler for fourth highest ozone concentrations (2014) (14)
The wrapped skew Gaussian process for analyzing spatio-temporal data (2016) (14)
Spatio-temporal modeling for real-time ozone forecasting. (2013) (13)
Autoregressive spatially varying coefficients model for predicting daily PM 2.5 using VIIRS satellite AOT (2015) (13)
Stochastic Modeling for Velocity of Climate Change (2015) (13)
Approaches for Semiparametric Bayesian Regression (1997) (13)
Attaching uncertainty to deterministic spatial interpolations (2012) (12)
Hierarchical spatial modeling for estimation of population size (2007) (12)
Model-Driven Dynamic Control of Embedded Wireless Sensor Networks (2006) (12)
Kernel Averaged Predictors for Spatio-Temporal Regression Models. (2012) (11)
Spatial Misalignment Models for Small Area Estimation: A Simulation Study (2013) (11)
Analysis of residential property sales using space–time point patterns (2017) (11)
On computation using gibbs sampling for multilevel models. (2001) (11)
Bivariate spatial process modeling for constructing indicator or intensity weighted spatial CDFs (2005) (11)
Scaling Integral Projection Models for Analyzing Size Demography (2013) (11)
Spatial Prediction of House Prices Using Lpr and Bayesian Smoothing (2001) (11)
Assessing the joint behaviour of species traits as filtered by environment (2017) (11)
Approximate Bayesian Computation and Model Assessment for Repulsive Spatial Point Processes (2016) (10)
A behavioral summary for completely random nets (1982) (10)
Modeling Variability Order: A Semiparametric Bayesian Approach (2001) (10)
Analyzing first flowering event data using survival models with space and time‐varying covariates (2013) (9)
Analyzing space-time sensor network data under suppression and failure in transmission (2010) (9)
Ensemble Modeling: Inference from Small Scale Properties to Large Scale Systems (1984) (9)
Simulation Based Model Checking for Hierarchical Models (2004) (9)
Modeling spatially biased citizen science effort through the eBird database (2021) (9)
Inference for the maximum cell probability under multinomial sampling (1992) (9)
Hierarchical spatial modeling of uncertainty in air pollution and birth weight study (2011) (9)
Process modeling for soil moisture using sensor network data (2014) (8)
Bayesian nonparametric modelling for spatial data using Dirichlet processes (2007) (8)
Smoothness Properties and Gradient Analysis Under Spatial Dirichlet Process Models (2006) (8)
A Simulation-Intensive Approach for CheckingHierarchical (1998) (8)
Bayesian wombling: finding rapid change in spatial maps (2015) (8)
Modeling individual tree growth by fusing diameter tape and increment core data (2014) (8)
Accommodating the ecological fallacy in disease mapping in the absence of individual exposures (2017) (8)
Space-time modeling for post-fire vegetation recovery (2015) (8)
Joint modeling of sensitivity and specificity (2008) (8)
Modelling mercury deposition through latent space–time processes (2008) (8)
Pollution State Modeling for Mexico City (2018) (7)
Inference for log Gaussian Cox processes using an approximate marginal posterior (2016) (7)
Spatial process gradients and their use in sensitivity analysis for environmental processes (2015) (7)
Supplemental Materials to Hierarchical Modeling and Analysis for Spatial Data, 2nd Edition (2018) (7)
Examining accuracy of screening mammography using an event order model (2006) (7)
Broken Biological Size Relationships: A Truncated Semiparametric Regression Approach with Measurement Error (1997) (7)
A system theoretic approach to the management of complex organizations: Management by consensus level and its interaction with other management strategies (1980) (7)
Prediction and model comparison for areal unit data (2017) (7)
Multivariate functional data modeling with time-varying clustering (2019) (6)
Estimation of a Restricted Variance Ratio (1988) (6)
Spatial Aggregation and the Ecological Fallacy (2010) (6)
Bayesian Analysis of Semiparametric Proportional Hazards Models (1994) (6)
Contributions to the theory and application of statistics : a volume in honor of Herbert Solomon (1988) (6)
Bayesian nonparametric modeling for functional analysis of variance (2014) (6)
Conditional categorical response models with application to treatment of acute myocardial infarction (2000) (5)
Using spatial gradient analysis to clarify species distributions with application to South African protea (2015) (5)
Disease Mapping With Generative Models (2016) (5)
Disaggregated spatial modelling for areal unit categorical data (2009) (5)
Estimation in noncentral distributions (1983) (5)
Joint Temporal Point Pattern Models for Proximate Species Occurrence in a Fixed Area Using Camera Trap Data (2018) (5)
The Dirichlet labeling process for functional data analysis (2008) (5)
The role of odds ratios in joint species distribution modeling (2021) (5)
1 NONPARAMETRIC FUNCTIONAL DATA ANALYSIS THROUGH BAYESIAN DENSITY ESTIMATION (2007) (5)
Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4 T-Cell Numbers: Rejoinder (1992) (5)
Hierarchical Bayes Models for Relating Particulate Matter Exposure Measures (2002) (5)
Estimation for Dirichlet mixed models (1989) (5)
Approximate Bayesian Computation and Model Validation for Repulsive Spatial Point Processes (2016) (5)
From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment (2007) (4)
Accommodating so many zeros: univariate and multivariate data (2017) (4)
Assessing Disparity Using Measures of Racial and Educational Isolation (2020) (4)
Spatial Modeling and Prediction under Range Anisotropy (1997) (4)
- Basics of point-referenced data models (2014) (4)
Spatial hedonic modelling adjusted for preferential sampling (2019) (4)
Modeling change in forest biomass across the eastern US (2016) (4)
Clarifying species dependence under joint species distribution modeling (2019) (4)
Alternating Gaussian process modulated renewal processes for modeling threshold exceedances and durations (2018) (4)
Point Process Models and Methods in Spatial Epidemiology (2010) (4)
A survey of sampling-based Bayesian analysis of financial data (2002) (4)
Pollution state modelling for Mexico City (2018) (4)
Bayesian Decision Theoretic Design for Group Sequential Medical Trials having Multivariate Patient R (1996) (4)
Model fitting and inference under latent equilibrium processes (2007) (4)
Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation (2020) (4)
Guest Editorial: Spatial and spatio-temporal modeling in environmental and ecological statistics (2007) (4)
Spatial Modeling of Day-Within-Year Temperature Time Series: An Examination of Daily Maximum Temperatures in Aragón, Spain (2022) (4)
Statistical challenges in spatial analysis of plant ecology data (2020) (3)
Estimating measures of diagnostic accuracy when some covariate information is missing (2006) (3)
Improved Estimators in Simultaneous Estimation of Scale Parameters. (1987) (3)
Discrimination between the binomial and hypergeometric models (1976) (3)
Statistical Analysis of Origin-Destination Point Patterns: Modeling Car Thefts and Recoveries (2017) (3)
On Covariate Importance for Regression Models with Multivariate Response (2014) (3)
Improved estimation of variance components in mixed models (1988) (3)
Management Strategies in fixed-Structure Models of Complex Organizations II (1977) (3)
On the Effect of Jury Size: Rejoinder (1977) (3)
THE DISTRIBUTION OF CYCLE LENGTHS IN A CLASS OF ABSTRACT SYSTEMS (1977) (3)
[Bayesian Computation and Stochastic Systems]: Comment (1995) (3)
Nonparametric Bayesian Group Sequential Design (1998) (3)
Bayesian Analysis of Change-point Hazard Rate Models (1997) (3)
Joint Modeling of Climate Niches for Adult and Juvenile Trees (2016) (3)
Analyzing car thefts and recoveries with connections to modeling origin–destination point patterns (2017) (3)
Quantifying uncertainty for temperature maps derived from computer models (2015) (3)
Simulation Approaches for Calculations in Directed Graphical Models (1993) (3)
Hierarchical Spatio-Temporal Modeling of Resting State fMRI Data (2017) (2)
Continuous-Time Discrete-State Modeling for Deep Whale Dives (2021) (2)
Approximate Marginal Posterior for Log Gaussian Cox Processes (2016) (2)
Velocities for spatio-temporal point patterns (2019) (2)
Spatio-temporal analysis of the extent of an extreme heat event (2021) (2)
Improved Estimation of a Patterned Covariance Matrix (1989) (2)
On the Use of Ridge and Stein-Type Estimators in Prediction. (1986) (2)
Long‐term spatial modelling for characteristics of extreme heat events (2020) (2)
Spatial modelling of gene frequencies in the presence of undetectable alleles (2003) (2)
Latent Waiting Time Models For BivariateEvent Times With (1996) (2)
Biomass prediction using a density-dependent diameter distribution model (2017) (2)
Bayesian analysis of concurrent time series with application to regional IBM revenue data (2009) (2)
Confidence Coefficients for Approximate Binomial Interval Estimates under Hypergeometric Models (1974) (2)
Rapid seriation methods for multivariate observations through similarities (1974) (2)
Hierarchical modeling for univariate spatial data (2014) (2)
Process modeling for slope and aspect with application to elevation data maps (2018) (2)
Identi ability, Propriety and Parametrization with Regard to Simulation-Based Fitting of Generalized Linear Mixed Models (1996) (2)
Effect of air pollution (PM2.5 & PM10) on low birthweight in North Carolina (2006) (2)
Multivariate spatial modeling (2003) (2)
Bayes Theorem from a Sampling-Resampling Perspective (1991) (2)
Spatial functional data modeling of plant reflectances (2021) (2)
Synthesizing categorical datasets to enhance inference (2013) (2)
Contributions to the Theory and Applications of Statistics, a Volume in Honor of Herbert Solomon (1988) (2)
A latent risk approach for modeling individual level data consisting of multiple event times (1997) (1)
Archaeology, Statistics in—I (2006) (1)
Mean square error behavior for prediction in linear regression models (1987) (1)
LATENT WAITING TIME MODELS FOR BIVARIATE EVENT TIMES WITH CENSORING (2016) (1)
Bayesian Nonparametric Spatio-Temporal Models for Disease Incidence Data (2006) (1)
Spatial Point Process Models (2010) (1)
Explaining Return Times for Wildfires (2014) (1)
A Group Decision Making Model: The American Jury. (1974) (1)
Modeling large spatial and spatiotemporal datasets (2014) (1)
A Partition Dirichlet Process Model for Functional Data Analysis (2020) (1)
Data from: Assessing the joint behavior of species traits as filtered by environment (2017) (1)
Discrete Spatial Variation (2010) (1)
Chapter 5. Special Topics in Point Pattern Analysis (2018) (1)
Bayesian Inference for Hard Problems Using the Gibbs Sampler (1992) (1)
Subgraph Approximations for Large Directed Graphical Models (1993) (1)
Local linear suppression for wireless sensor network data (2011) (1)
Strategies for efficient implementation of mcmc algorithms (1994) (1)
On the Cyclic Behavior of Random Transformations on a Finite Set. (1981) (1)
Generalized Evolutionary Point Processes: Model Specifications and Model Comparison (2019) (1)
Dataset for: Accommodating the ecological fallacy in disease mapping in the absence of individual exposures (2017) (1)
Bayesian Methods and Modeling (2006) (1)
Modeling Spatio-Temporally Misaligned Areal and Point Process Environmental Data (2002) (1)
On the character of and distance between states in a binary switching net (2004) (1)
Models for multivariate areal data (2014) (1)
Discussion of “Statistical Research (2004) (1)
Review of Video Cassette Set: Statistics for Problem Solving and Decision Making@@@Statistics for Problem Solving and Decision Making (1980) (1)
Joint Multivariate and Functional Modeling for Plant Traits and Reflectances (2022) (0)
Comments on: Comparing and selecting spatial predictors using local criteria (2015) (0)
Marginalized deviances for assessing the number of hierarchical stages and aligning multilevel models. (2000) (0)
Modeling Community Dynamics Through Environmental Effects, Species Interactions and Movement (2022) (0)
New Approaches to FIA data for understanding distribution, abundance, and response to climate change (2012) (0)
Introduction to the special issue on frontiers in spatial research (2020) (0)
Classical Geostatistical Methods (2010) (0)
Chapter 3. Bayesian Inference for Point Patterns (2018) (0)
Switching Net Models: Rudimentary Behavior, Representations and Applications. (1984) (0)
Model-based tools for assessing space and time change in daily maximum temperature: an application to the Ebro basin in Spain (2022) (0)
Rejoinder on: Process modeling for slope and aspect with application to elevation data maps (2018) (0)
Kernel density estimation of conditional distributions to detect responses in satellite tag data (2022) (0)
Bayesian nonparametric modeling for functional analysis of variance (2013) (0)
Nonparametric Bayesian Clinical Trial Design for Continuous Patient Response (2007) (0)
A comparison of several attribute sampling plans (1976) (0)
Spatial modeling for the distribution of species in plant communities (2022) (0)
Rejoinder (2008) (0)
Modeling change in forest biomass across the eastern US (2015) (0)
Spatio-Temporal Processes (2010) (0)
Bayesian Methods and ModelingBased in part on the article “Bayesian methods and modeling” by Alan E. Gelfand, which appeared in the Encyclopedia of Environmetrics. (2013) (0)
Process modeling for slope and aspect with application to elevation data maps (2018) (0)
Process modelling for contingency tables with ordered categories (2012) (0)
Exploring geometric anisotropy for point-referenced spatial data (2019) (0)
I : I 1 III ii-+ • MODEL DETERMINATION USING PREDICTIVE DISTRIBUTIONS WITH IMPLEMENTATION VIA SAMPLING-BASED METHODS by (0)
Modeling for environmental and ecological processes (2017) (0)
Using spatial gradient analysis to clarify species distributions with application to South African protea (2015) (0)
Chapter 1. Introduction to Spatial Point Patterns (2018) (0)
Time-discretization approximation enriches continuous-time discrete-space models for animal movement (2023) (0)
On Covariate Importance for Regression Models with Multivariate Response (2014) (0)
Generalized Evolutionary Point Processes: Model Specifications and Model Comparison (2020) (0)
Local real‐time forecasting of ozone exposure using temperature data (2018) (0)
Inference for Size Demography From Point Pattern Data Using Integral Projection Models (2012) (0)
An Estimation Problem with Poisson Processes (1981) (0)
Quantifying uncertainty associated with a numerical model output (2014) (0)
Stochastic Modeling for Velocity of Climate Change (2015) (0)
Special topics in spatial process modeling (2014) (0)
- Multivariate spatial modeling for point-referenced data (2014) (0)
ESTIMATION IN PARAMETRIC MIXTURE FAMILIES (1987) (0)
A New Nonmetric Conjoint Method: Some Preliminary Results (1986) (0)
Appendix: Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets Densities on directed acyclic graphs (2015) (0)
AI 4 c 9 o 707 BAYESIAN MODEL CHGICE : ASYMPTOTICS AND EXACT CALCULATIONS (0)
WITHDRAWN: Editorial: Spatio-temporal dynamics of Covid (2022) (0)
Pollution StateModeling forMexico City (2018) (0)
Some Noteworthy Issues in Joint Species Distribution Modeling for Plant Data (2022) (0)
Continuous-Time Discrete-State Modeling for Deep Whale Dives (2021) (0)
Editorial: The impact of spatial statistics (2022) (0)
Rejoinder on: Process modeling for slope and aspect with application to elevation data maps (2018) (0)
Hierarchical space-time model for post-fire vegetation recovery (2015) (0)
Discussion on “Spatial prediction in the presence of positional error” (2011) (0)
ENSEt1BLE ~lETHODS IN SYSTEM THEORY (1978) (0)
The official bulletin of the International Society for Bayesian Analysis (2006) (0)
Joint Modeling of Climate Niches for Adult and Juvenile Trees (2015) (0)
Toward Characterizing Boolean Transformations (1978) (0)
Managing Complex Systems: An Application of Ensemble Methods in System Theory (1978) (0)
Space-time modeling for circular data using wrapped distributions (2008) (0)
Bayesian ComputationBased in part on the article “Bayesian computation” by Alan Gelfand, which appeared in the Encyclopedia of Environmetrics. (2013) (0)
Wildfires in South Africa ; Cherry Trees in Japan (2012) (0)
Analyzing Spatial Directional Data through the use of Gaussian Processes (2012) (0)
A latent risk approach for modeling individuallevel data consisting of multiple event timesSujit (1997) (0)
Models for demography of plant populations (2018) (0)
Overview of spatial data problems (2014) (0)
Basics of areal data models (2014) (0)
Spatio-temporal circular models with non-separable covariance structure (2015) (0)
Subgraph Approximations for Directed Graphical Models (1994) (0)
Preferential sampling for bivariate spatial data (2022) (0)
Bayesian modeling of spatio-temporal point patterns in residential property sales (2016) (0)
Socioeconomics drive woody invasive plant richness in New England, USA through forest fragmentation (2013) (0)
AD-A 2 5 8 778 4 A I ittl " I 111 1 I ' ll ii HIERARCHICAL BAYES MODELS FOR THE PROGRESSION OF HIV INFECTION USING LONGITUDINAL CD 4 + COUNTS by (0)
A Note on Estimating the Improvement in Stein-Type Estimators. (1986) (0)
Corrigendum to "A Hierarchical Bayesian model of wildfire in a Mediterranean biodiversity hotspot: Implications of weather variability and global circulation" [Ecol. Modell. 221 (January (1)) (2010) 106-112] (2011) (0)
Approximated wrapped distributions for modeling circular data (2009) (0)
Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes (2011) (0)
- Some theory for point-referenced data models (2014) (0)
MANAGEMENT STRATEGIES IN FIXED-STRUCTURE MODELS OF COMPLEX ORGANIZATIONS BY CRAYTON (2011) (0)
Zero-Inflated Beta Distribution Regression Modeling (2021) (0)
Modeling Expert Opinion: Likelihoods under Incomplete Probabilistic Specification (1992) (0)
Continuous Spatial Variation (2010) (0)
Simulation Based Model Checking for HierarchicalModelsDipak (1994) (0)
Confidence Coefficients for Usual Binomial Interval Estimates under Hypergeometric Models. (1974) (0)
Spatial Regression Modeling for Compositional Data With Many Zeros (2013) (0)
Comments on: Comparing and selecting spatial predictors using local criteria (2014) (0)
Joint Temporal Point Pattern Models for Proximate Species Occurrence in a Fixed Area Using Camera Trap Data (2018) (0)

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