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Models to Support Forest Inventory and Small Area Estimation Using Sparsely Sampled LiDAR: A Case Study Involving G-LiHT LiDAR in Tanana, Alaska J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2024-03-13 Andrew O. Finley, Hans-Erik Andersen, Chad Babcock, Bruce D. Cook, Douglas C. Morton, Sudipto Banerjee
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Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2024-02-08 Arnab Hazra, Pratik Nag, Rishikesh Yadav, Ying Sun
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Two Tests of Significance for Preferred Direction in Tree Radial Growth Under a Linear-Circular Regression Model with Correlated Random Errors J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2024-01-31 Pierre Dutilleul, Tomoaki Imoto, Kunio Shimizu
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Clustering and Geodesic Scaling of Dissimilarities on the Spherical Surface J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2024-01-30
Abstract Spherical embedding is an important tool in several fields of data analysis, including environmental data, spatial statistics, text mining, gene expression analysis, medical research and, in general, areas in which the geodesic distance is a relevant factor. Many data acquisition technologies are related to massive data acquisition, and these high-dimensional vectors are often normalised and
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A Spatial Mixture Model for Spaceborne Lidar Observations Over Mixed Forest and Non-forest Land Types J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2024-01-30 Paul B. May, Andrew O. Finley, Ralph O. Dubayah
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Animal Density Estimation for Large Unmarked Populations Using a Spatially Explicit Model J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2024-01-24 Riki Herliansyah, Ruth King, Dede Aulia Rahman, Stuart King
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Estimating Species Abundance from Presence–Absence Maps by Kernel Estimation J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-12-01 Ya-Mei Chang, Ying-Chi Huang
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A New Type of LASSO Regression Model with Cauchy Noise J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-28 Amir Hossein Ghatari, Mina Aminghafari, Adel Mohammadpour
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Assessing Spatial Stationarity and Segmenting Spatial Processes into Stationary Components J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-21 ShengLi Tzeng, Bo-Yu Chen, Hsin-Cheng Huang
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Spatial Confounding and Spatial+ for Nonlinear Covariate Effects J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-18 Emiko Dupont, Nicole H. Augustin
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Predicting the Temperature-Driven Development of Stage-Structured Insect Populations with a Bayesian Hierarchical Model J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-16 Kala Studens, Benjamin M. Bolker, Jean-Noël Candau
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Principal Component Analysis of Two-dimensional Functional Data with Serial Correlation J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-16 Shirun Shen, Huiya Zhou, Kejun He, Lan Zhou
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Testing Correlation in a Three-Level Model J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-16 Anna Szczepańska-Álvarez, Adolfo Álvarez, Artur Szwengiel, Dietrich von Rosen
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Integrating Different Data Sources Using a Bayesian Hierarchical Model to Unveil Glacial Refugia J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-15 Mauricio Campos, Bo Li, Guillaume de Lafontaine, Joseph Napier, Feng Sheng Hu
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Sample Size for Estimating Disease Prevalence in Free-Ranging Wildlife Populations: A Bayesian Modeling Approach J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-13 James G. Booth, Brenda J. Hanley, Florian H. Hodel, Christopher S. Jennelle, Joseph Guinness, Cara E. Them, Corey I. Mitchell, Md Sohel Ahmed, Krysten L. Schuler
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The Third Competition on Spatial Statistics for Large Datasets J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-10 Yiping Hong, Yan Song, Sameh Abdulah, Ying Sun, Hatem Ltaief, David E. Keyes, Marc G. Genton
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Bayesian Nonparametric Generative Modeling of Large Multivariate Non-Gaussian Spatial Fields J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-09 Paul F. V. Wiemann, Matthias Katzfuss
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Geographically Weighted Regression-Based Model Calibration Estimation of Finite Population Total Under Geo-referenced Complex Surveys J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-06 Bappa Saha, Ankur Biswas, Tauqueer Ahmad, Nobin Chandra Paul
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Comparing Methods for Determining Power Priors Based on Different Congruence Measures J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-11-02 Jing Zhang, Ainsley Helling, A. John Bailer
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Environmental Effects on the Spatiotemporal Variability of Sardine Distribution Along the Portuguese Continental Coast J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-10-27 Daniela Silva, Raquel Menezes, Ana Moreno, Ana Teles-Machado, Susana Garrido
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Design and Analysis of a Microplate Assay in the Presence of Multiple Restrictions on the Randomization J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-10-16 Alexandre Bohyn, Eric D. Schoen, Chee Ping Ng, Kristina Bishard, Manon Haarmans, Sebastian J. Trietsch, Peter Goos
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Covariance Clustering: Modelling Covariance in Designed Experiments When the Number of Variables is Greater than Experimental Units J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-10-11 Clayton R. Forknall, Arūnas P. Verbyla, Yoni Nazarathy, Adel Yousif, Sarah Osama, Shirley H. Jones, Edward Kerr, Benjamin L. Schulz, Glen P. Fox, Alison M. Kelly
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Locally Anisotropic Nonstationary Covariance Functions on the Sphere J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-10-08 Jian Cao, Jingjie ZHANG, Zhuoer SUN, Matthias Katzfuss
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Model-Based Geostatistics Under Spatially Varying Preferential Sampling J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-09-26 André Victor Ribeiro Amaral, Elias Teixeira Krainski, Ruiman Zhong, Paula Moraga
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The $$\beta $$ -divergence for Bandwidth Selection in Circular Kernel Density Estimation J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-09-27 Babacar Diakhate, Hamza Dhaker, Papa Ngom
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3D Point Cloud Semantic Segmentation Through Functional Data Analysis J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-09-12 Manuel Oviedo de la Fuente, Carlos Cabo, Javier Roca-Pardiñas, E. Louise Loudermilk, Celestino Ordóñez
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Clustered and Unclustered Group Testing for Biosecurity J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-08-26 Robert Graham Clark, Belinda Barnes, Mahdi Parsa
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A Nonparametric Bootstrap Method for Heteroscedastic Functional Data J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-08-16 Rubén Fernández-Casal, Sergio Castillo-Páez, Miguel Flores
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Spatiotemporal Event Studies for Environmental Data Under Cross-Sectional Dependence: An Application to Air Quality Assessment in Lombardy J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-08-11 Paolo Maranzano, Matteo Pelagatti
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An Application of Spatio-Temporal Modeling to Finite Population Abundance Prediction J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-08-07 Matt Higham, Michael Dumelle, Carly Hammond, Jay Ver Hoef, Jeff Wells
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Accommodating False Positives Within Acoustic Spatial Capture–Recapture, with Variable Source Levels, Noisy Bearings and an Inhomogeneous Spatial Density J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-08-07 Felix T. Petersma, Len Thomas, Aaron M. Thode, Danielle Harris, Tiago A. Marques, Gisela V. Cheoo, Katherine H. Kim
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Estimator of Agreement with Covariate Adjustment J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-08-05 Katelyn A. McKenzie, Jonathan D. Mahnken
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Spatially Clustered Survey Designs J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-07-28 Scott D. Foster, Emma Lawrence, Andrew J. Hoskins
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Presence-Only for Marked Point Process Under Preferential Sampling J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-07-26 Guido A. Moreira, Raquel Menezes, Laura Wise
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Nonparametric Conditional Risk Mapping Under Heteroscedasticity J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-07-21 Rubén Fernández-Casal, Sergio Castillo-Páez, Mario Francisco-Fernández
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Bayesian Hierarchical Models for the Combination of Spatially Misaligned Data: A Comparison of Melding and Downscaler Approaches Using INLA and SPDE J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-07-13 Ruiman Zhong, Paula Moraga
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Monitoring and Comparing Air and Green House Gases Emissions of Various Countries J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-07-11 Ambreen Shafqat, Qurat ul An Sabir, Su-Fen Yang, Muhammad Aslam, Mohammed Albassam, Kashif Abbas
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Deep Spatial Q-Learning for Infectious Disease Control J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-07-08 Zhishuai Liu, Jesse Clifton, Eric B. Laber, John Drake, Ethan X. Fang
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Multivariate Modeling of Precipitation-Induced Home Insurance Risks Using Data Depth J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-07-06 Asim K. Dey, Vyacheslav Lyubchich, Yulia R. Gel
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A Novel Framework and a New Score for the Comparative Analysis of Forest Models Accounting for the Impact of Climate Change J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-06-23 Nikola Besic, Nicolas Picard, Julien Sainte-Marie, Modeste Meliho, Christian Piedallu, Myriam Legay
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Role of Taxa Age and Geologic Range: Survival Analysis of Marine Biota over the Last 538 Million Years J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-06-15 Lilian B. Pérez-Sosa, Miguel Nakamura, Pablo Del Monte-Luna, Alba Vicente
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Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-06-10 Michael R. Schwob, Mevin B. Hooten, Travis McDevitt-Galles
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A Flexible Generalized Poisson Likelihood for Spatial Counts Constructed by Renewal Theory, Motivated by Groundwater Quality Assessment J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-06-06 Mahsa Nadifar, Hossein Baghishani, Afshin Fallah
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A Modified Neighborhood Hypothesis Test for Population Mean in Functional Data J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-06-04 Dhanamalee Bandara, Leif Ellingson, Souparno Ghosh, Ranadip Pal
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A Variance Partitioning Multi-level Model for Forest Inventory Data with a Fixed Plot Design J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-05-30 Isa Marques, Paul F. V. Wiemann, Thomas Kneib
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Improving Detection of Changepoints in Short and Noisy Time Series with Local Correlations: Connecting the Events in Pixel Neighbourhoods J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-05-16 Tuomas Rajala, Petteri Packalen, Mari Myllymäki, Annika Kangas
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Rejoinder on ‘Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach’ J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-05-11 Huang Huang, Stefano Castruccio, Allison H. Baker, Marc G. Genton
We thank all the discussants for their valuable comments. Throughout this rejoinder, we denote the discussants by D = Datta, P = Poppick, BA = Banerjee, BU = Burr, BUD = Bessac, Underwood and Di. We will also use the same acronyms as in the discussion, i.e., VAE = Variational Autoencoders and DNN = Deep Neural Networks. We organize the rejoinder around four main themes.
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Discussion on “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach” J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-05-11 Julie Bessac, Robert Underwood, Sheng Di
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Discussion of “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach” J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-05-11 Abhirup Datta
Huang et al (J Agric Biol Environ Stat, 2023, https://doi.org/10.1007/s13253-022-00518-x) a suite of statistical models for storage-efficient climate model emulation. In this discussion, I review and explore possibility of using machine learning methods, in particular, deep neural network (DNN)-based variational autoencoders (VAE) for the same task of spatio-temporal climate data compression. I discuss
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Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-05-11 Huang Huang, Stefano Castruccio, Allison H. Baker, Marc G. Genton
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Water Resource Surveillance for the Salton Sea in California By Adaptive Sequential Monitoring of Its Landsat Images J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-05-05 Fan Yi, Peihua Qiu
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Design of Agricultural Field Experiments Accounting for both Complex Blocking Structures and Network Effects J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-04-19 Vasiliki Koutra, Steven G. Gilmour, Ben M. Parker, Andrew Mead
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Regularised Semi-parametric Composite Likelihood Intensity Modelling of a Swedish Spatial Ambulance Call Point Pattern J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-04-15 Fekadu L. Bayisa, Markus Ådahl, Patrik Rydén, Ottmar Cronie
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Estimation and Clustering of Directional Wave Spectra J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-04-13 Zihao Wu, Carolina Euan, Rosa M. Crujeiras, Ying Sun
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A Dynamic Occupancy Model for Interacting Species with Two Spatial Scales J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-04-10 Eivind Flittie Kleiven, Frédéric Barraquand, Olivier Gimenez, John-André Henden, Rolf Anker Ims, Eeva Marjatta Soininen, Nigel Gilles Yoccoz
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Rankıng Districts of Çanakkale in Terms of Rangeland Quality by Fuzzy MCDM Methods J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-04-05 Zeynep Gökkuş, Sevil Şentürk, Fırat Alatürk
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A Shared Latent Process Model to Correct for Preferential Sampling in Disease Surveillance Systems J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-04-03 Brian Conroy, Lance A. Waller, Ian D. Buller, Gregory M. Hacker, James R. Tucker, Mark G. Novak
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Assessing Ecosystem State Space Models: Identifiability and Estimation J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-03-09 J. W. Smith, L. R. Johnson, R. Q. Thomas
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A Bayesian Partial Membership Model for Multiple Exposures with Uncertain Group Memberships J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-02-14 Alexis E. Zavez, Emeir M. McSorley, Alison J. Yeates, Sally W. Thurston
We present a Bayesian partial membership model that estimates the associations between an outcome, a small number of latent variables, and multiple observed exposures where the number of latent variables is specified a priori. We assign one observed exposure as the sentinel marker for each latent variable. The model allows non-sentinel exposures to have complete membership in one latent group, or partial
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Fusion Learning of Functional Linear Regression with Application to Genotype-by-Environment Interaction Studies J. Agric. Biol. Environ. Stat. (IF 1.4) Pub Date : 2023-02-06 Shan Yu, Aaron M. Kusmec, Li Wang, Dan Nettleton