Journal of Agricultural Biological and Environmental Statistics

Papers
(The TQCC of Journal of Agricultural Biological and Environmental Statistics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Rejoinder on ‘Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach’26
A Bayesian Parametric Approach to Capture–Recapture with Misidentification26
Physics-Guided Inverse Regression for Crop Quality Assessment20
Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff–Gaussian Processes18
Analyzing Spatial Correlation Patterns of Water Quality Variables in Fluvial Networks16
Discussion of “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach”13
Improving Sugarcane Extraneous Matter Prediction Using Transformed Near-Infrared Spectral Data and Functional Regression12
Soil Carbon Mapping of the Contiguous US Using VNIR Spectra Within A Heterogeneous Spatial Model11
Robust Local Likelihood Estimation for Non-stationary Flood Frequency Analysis10
Design and Analysis of a Microplate Assay in the Presence of Multiple Restrictions on the Randomization10
Learning Network Structure for Ordinal Outcomes: An Application of Inductive Causation to Food Safety in Cambodia10
Deep Spatial Q-Learning for Infectious Disease Control8
Comparing Methods for Determining Power Priors Based on Different Congruence Measures8
Discussion of the Paper by Eckardt and Moradi7
Improving Detection of Changepoints in Short and Noisy Time Series with Local Correlations: Connecting the Events in Pixel Neighbourhoods7
A Robust Proposal for Heteroscedastic Dose–Response Models with an Application to Interaction Analysis7
Post-Stratified Inference for Pairwise Treatment Comparisons in Randomized Block Designs7
Editorial A Tribute to Professor Geoffrey Alan Hawkes (19 September 1938–9 November 2023)6
A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires6
Algorithms for Fitting the Space-Time ETAS Model to Earthquake Catalog Data: A Comparative Study6
Leveraging Extremal Dependence to Better Characterize the 2021 Pacific Northwest Heatwave6
Development of Bayesian Spatiotemporal Models to Analyze Ant Count Data Collected by Automated Infrared Sensors in Commercial California Citrus Orchards6
Spatiotemporal Event Studies for Environmental Data Under Cross-Sectional Dependence: An Application to Air Quality Assessment in Lombardy5
Spectral-Spatial Crop Classification Using Wavelet-Based Parallel Bidirectional LSTM Networks5
Exploring Secular Wheat Price Dynamics Across Italian Cities Using $$R^{2}$$ Connectedness5
Faster Asymptotic Solutions for N-Mixtures on Large Populations5
Modeling Complex Species-Environment Relationships Through Spatially-Varying Coefficient Occupancy Models5
Bayesian Approaches to Proxy Uncertainty Quantification in Paleoecology: A Mathematical Justification and Practical Integration5
Order Restricted Randomized Block Designs5
Environmental Loss Assessment via Functional Outlier Detection of Transformed Biodiversity Profiles5
Incorporating Phenology to Estimate Species’ Population Trends from Snapshot Citizen-Science Data5
Assessment of Local Influence in the Fitting of Lactation Curves Using Nonlinear Mixed Models5
Correction to: Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality5
An Individual-Based Spatial Epidemiological Model for the Spread of Plant Diseases5
Estimating the Negative Binomial Dispersion Parameter with a Stratum-Effects Model and Many Strata5
Estimator of Agreement with Covariate Adjustment4
Spatiotemporal Exposure Prediction with Penalized Regression4
Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality4
Various-Neighbor Neural Network Emulator for Computer Models with Large Spatial Output4
Unveiling Land Use Dynamics: Insights from a Hierarchical Bayesian Spatio-Temporal Modelling of Compositional Data4
A Flexible Generalized Poisson Likelihood for Spatial Counts Constructed by Renewal Theory, Motivated by Groundwater Quality Assessment4
Optimizing Disease Surveillance Through Pooled Testing with Application to Infectious Diseases4
Spatial Function-on-Function Regression4
Nonparametric Analysis of Multivariate Data in Factorial Designs with Nondetects: A Case Study with Microbiome Data4
Extended Semi-Latin Squares for Use in Field and Glasshouse Trials4
Spatially Clustered Survey Designs4
Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data4
Approximate Maximum Likelihood Inference for Acoustic Spatial Capture-Recapture with Unknown Identities, Using Monte Carlo Expectation Maximization4
Expectations of Linear and Nonlinear Hawkes Processes Using a Field-Theoretical Approach4
Modeling Interactions Within French Dairy-Cattle Systems Using R-Vines4
Functional Principal Component Analysis for Multiple Variables on Different Riemannian Manifolds4
Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks4
Clustered and Unclustered Group Testing for Biosecurity4
Clustered Temporal Decomposition for High-Dimensional Data4
Stopping Rule Sampling to Monitor and Protect Endangered Species3
A One-Stage Approach for the Spatio-temporal Analysis of High-Throughput Phenotyping Data3
Detecting Changes in Dynamic Social Networks Using Multiply-Labeled Movement Data3
Correction: A Modified Bayesian Optimization Approach for Determining a Training Set to Identify the Best Genotypes from a Candidate Population in Genomic Selection3
Hierarchical Bayesian Integrated Modeling of Age- and Sex-Structured Wildlife Population Dynamics3
Balanced Two-Way Functional ANOVA: A Case Study for Toxicological Photolocomotor Response Studies3
Integrating Different Data Sources Using a Bayesian Hierarchical Model to Unveil Glacial Refugia3
An Advanced Spatial Approach Based on Multi-criteria Analysis and Geostatistical Simulation for a Comprehensive Geogenic Radon Hazard Index Mapping3
Correction: Unveiling Land Use Dynamics: Insights from a Hierarchical Bayesian Spatio-Temporal Modelling of Compositional Data3
Predicting the Temperature-Driven Development of Stage-Structured Insect Populations with a Bayesian Hierarchical Model3
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