Journal of Agricultural, Biological and Environmental Statistics
2016 - 2025
Current editor(s): Stephen Buckland From: Springer The International Biometric Society American Statistical Association Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 28, issue 4, 2023
- Review of “Mixed-Effects Models and Small Area Estimation” by Shonosuke Sugasawa and Tatsuya Kubokawa pp. 591-593

- Desak Made Goldyna Rarasari
- Environmental Public Policy Making Exposed, Cynthia H. Stahl, Alan J. Cimorelli, Switzerland: Springer Nature Switzerland AG (2020). 203 pp, ISBN 978-3-030–32130-7 (eBook) pp. 594-596

- Edyanto, Lukman Arifin and Syaharuddin
- Bayesian Nonparametric Generative Modeling of Large Multivariate Non-Gaussian Spatial Fields pp. 597-617

- Paul F. V. Wiemann and Matthias Katzfuss
- The Third Competition on Spatial Statistics for Large Datasets pp. 618-635

- Yiping Hong, Yan Song, Sameh Abdulah, Ying Sun, Hatem Ltaief, David E. Keyes and Marc G. Genton
- Rankıng Districts of Çanakkale in Terms of Rangeland Quality by Fuzzy MCDM Methods pp. 636-663

- Zeynep Gökkuş, Sevil Şentürk and Fırat Alatürk
- Regularised Semi-parametric Composite Likelihood Intensity Modelling of a Swedish Spatial Ambulance Call Point Pattern pp. 664-683

- Fekadu L. Bayisa, Markus Ådahl, Patrik Rydén and Ottmar Cronie
- Role of Taxa Age and Geologic Range: Survival Analysis of Marine Biota over the Last 538 Million Years pp. 684-705

- Lilian B. Pérez-Sosa, Miguel Nakamura, Pablo Monte-Luna and Alba Vicente
- A Variance Partitioning Multi-level Model for Forest Inventory Data with a Fixed Plot Design pp. 706-725

- Isa Marques, Paul F. V. Wiemann and Thomas Kneib
- A Flexible Generalized Poisson Likelihood for Spatial Counts Constructed by Renewal Theory, Motivated by Groundwater Quality Assessment pp. 726-748

- Mahsa Nadifar, Hossein Baghishani and Afshin Fallah
- Deep Spatial Q-Learning for Infectious Disease Control pp. 749-773

- Zhishuai Liu, Jesse Clifton, Eric B. Laber, John Drake and Ethan X. Fang
- Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology pp. 774-791

- Michael R. Schwob, Mevin B. Hooten and Travis McDevitt-Galles
Volume 28, issue 3, 2023
- A Bayesian Partial Membership Model for Multiple Exposures with Uncertain Group Memberships pp. 377-400

- Alexis E. Zavez, Emeir M. McSorley, Alison J. Yeates and Sally W. Thurston
- Fusion Learning of Functional Linear Regression with Application to Genotype-by-Environment Interaction Studies pp. 401-422

- Shan Yu, Aaron M. Kusmec, Li Wang and Dan Nettleton
- Bayesian Latent Variable Co-kriging Model in Remote Sensing for Quality Flagged Observations pp. 423-441

- Bledar A. Konomi, Emily L. Kang, Ayat Almomani and Jonathan Hobbs
- Assessing Ecosystem State Space Models: Identifiability and Estimation pp. 442-465

- J. W. Smith, L. R. Johnson and R. Q. Thomas
- A Dynamic Occupancy Model for Interacting Species with Two Spatial Scales pp. 466-482

- Eivind Flittie Kleiven, Frédéric Barraquand, Olivier Gimenez, John-André Henden, Rolf Anker Ims, Eeva Marjatta Soininen and Nigel Gilles Yoccoz
- A Shared Latent Process Model to Correct for Preferential Sampling in Disease Surveillance Systems pp. 483-501

- Brian Conroy, Lance A. Waller, Ian D. Buller, Gregory M. Hacker, James R. Tucker and Mark G. Novak
- Estimation and Clustering of Directional Wave Spectra pp. 502-525

- Zihao Wu, Carolina Euan, Rosa M. Crujeiras and Ying Sun
- Design of Agricultural Field Experiments Accounting for both Complex Blocking Structures and Network Effects pp. 526-548

- Vasiliki Koutra, Steven G. Gilmour, Ben M. Parker and Andrew Mead
- Water Resource Surveillance for the Salton Sea in California By Adaptive Sequential Monitoring of Its Landsat Images pp. 549-563

- Fan Yi and Peihua Qiu
- Improving Detection of Changepoints in Short and Noisy Time Series with Local Correlations: Connecting the Events in Pixel Neighbourhoods pp. 564-590

- Tuomas Rajala, Petteri Packalen, Mari Myllymäki and Annika Kangas
Volume 28, issue 2, 2023
- A Causal Mediation Model for Longitudinal Mediators and Survival Outcomes with an Application to Animal Behavior pp. 197-218

- Shuxi Zeng, Elizabeth C. Lange, Elizabeth A. Archie, Fernando A. Campos, Susan C. Alberts and Fan Li
- A Case-Crossover Study of the Impact of the Modifying Industrial Operations Protocol on the Frequency of Industrial Forestry-Caused Wildland Fires in Ontario, Canada pp. 219-242

- Kevin Granville, Douglas G. Woolford, C. B. Dean and Colin B. McFayden
- Detecting Changes in Dynamic Social Networks Using Multiply-Labeled Movement Data pp. 243-259

- Zaineb L. Boulil, John W. Durban, Holly Fearnbach, Trevor W. Joyce, Samantha G. M. Leander and Henry R. Scharf
- Spatiotemporal Exposure Prediction with Penalized Regression pp. 260-278

- Nathan A. Ryder and Joshua P. Keller
- Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis pp. 279-298

- Ting Fung Ma, Fangfang Wang, Jun Zhu, Anthony R. Ives and Katarzyna E. Lewińska
- An Approach for Specifying Trimming and Winsorization Cutoffs pp. 299-323

- Kedai Cheng and Derek S. Young
- Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach pp. 324-344

- Huang Huang, Stefano Castruccio, Allison H. Baker and Marc G. Genton
- Discussion on “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach” pp. 345-348

- Andrew Poppick
- Response to: Saving Storage in Climate Ensembles pp. 349-351

- Wesley S. Burr
- Discussion of “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach” pp. 352-357

- Abhirup Datta
- Discussion on “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach” pp. 358-364

- Julie Bessac, Robert Underwood and Sheng Di
- Discussion of “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach” by Huang Huang, Stefano Castruccio, Allison H. Baker and Marc Genton pp. 365-369

- Sudipto Banerjee
- Rejoinder on ‘Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach’ pp. 370-374

- Huang Huang, Stefano Castruccio, Allison H. Baker and Marc G. Genton
- Review of Handbook of Graphs and Networks in People Analytics: With Examples in R and Python by Keith McNulty pp. 375-376

- Sa Ren
Volume 28, issue 1, 2023
- A Mixed Model for Assessing the Effect of Numerous Plant Species Interactions on Grassland Biodiversity and Ecosystem Function Relationships pp. 1-19

- Jack McDonnell, Thomas McKenna, Kathryn A. Yurkonis, Deirdre Hennessy, Rafael Andrade Moral and Caroline Brophy
- Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality pp. 20-41

- Kevin P. Josey, Priyanka deSouza, Xiao Wu, Danielle Braun and Rachel Nethery
- Correction to: Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality pp. 42-42

- Kevin P. Josey, Priyanka deSouza, Xiao Wu, Danielle Braun and Rachel Nethery
- Computational Efficiency and Precision for Replicated-Count and Batch-Marked Hidden Population Models pp. 43-58

- Matthew R. P. Parker, Laura L. E. Cowen, Jiguo Cao and Lloyd T. Elliott
- A Spatial Logistic Regression Model Based on a Valid Skew-Gaussian Latent Field pp. 59-73

- Vahid Tadayon and Mohammad Mehdi Saber
- Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France pp. 74-98

- Matthew Heiner, Matthew J. Heaton, Benjamin Abbott, Philip White, Camille Minaudo and Rémi Dupas
- Distributional Validation of Precipitation Data Products with Spatially Varying Mixture Models pp. 99-116

- Lynsie R. Warr, Matthew J. Heaton, William F. Christensen, Philip A. White and Summer B. Rupper
- Zero-Inflated Beta Distribution Regression Modeling pp. 117-137

- Becky Tang, Henry A. Frye, Alan E. Gelfand and John A. Silander
- Inference in Spatial Experiments with Interference using the SpatialEffect Package pp. 138-156

- Cyrus Samii, Ye Wang, Jonathan Sullivan and P. M. Aronow
- Asynchronous Changepoint Estimation for Spatially Correlated Functional Time Series pp. 157-176

- Mengchen Wang, Trevor Harris and Bo Li
- Correction to: Asynchronous Changepoint Estimation for Spatially Correlated Functional Time Series pp. 177-177

- Mengchen Wang, Trevor Harris and Bo Li
- Modeling Community Dynamics Through Environmental Effects, Species Interactions and Movement pp. 178-195

- Becky Tang, James S. Clark, Peter P. Marra and Alan E. Gelfand
Volume 27, issue 4, 2022
- M. Schaub and M. Kéry: Integrated Population Models Theory and Ecological Applications with R and JAGS, Academic Press, 2022 pp. 595-597

- Byron J. T. Morgan
- Modelling Sub-daily Precipitation Extremes with the Blended Generalised Extreme Value Distribution pp. 598-621

- Silius M. Vandeskog, Sara Martino, Daniela Castro-Camilo and Håvard Rue
- Spatially Balanced Sampling with Local Ranking pp. 622-639

- B. L. Robertson, O. Ozturk, O. Kravchuk and J. A. Brown
- Correction to: Spatially Balanced Sampling with Local Ranking pp. 640-640

- B. L. Robertson, O. Ozturk, O. Kravchuk and J. A. Brown
- Efficient Discretization of Movement Kernels for Spatiotemporal Capture–Recapture pp. 641-651

- M. G. Efford
- Row–Column Sampling Design Using Auxiliary Ranking Variables pp. 652-673

- Omer Ozturk, Olena Kravchuk and Raymond Correll
- Coefficients of Determination for Mixed-Effects Models pp. 674-689

- Dabao Zhang
- On Information About Covariance Parameters in Gaussian Matérn Random Fields pp. 690-712

- Victor De Oliveira and Zifei Han
- Optimizing Pooled Testing for Estimating the Prevalence of Multiple Diseases pp. 713-727

- Md S. Warasi, Laura L. Hungerford and Kevin Lahmers
- A Bayesian Approach for Data-Driven Dynamic Equation Discovery pp. 728-747

- Joshua S. North, Christopher K. Wikle and Erin M. Schliep
Volume 27, issue 3, 2022
- Laplace Approximations for Capture–Recapture Models in the Presence of Individual Heterogeneity pp. 401-418

- Riki Herliansyah, Ruth King and Stuart King
- A Spatiotemporal Analytical Outlook of the Exposure to Air Pollution and COVID-19 Mortality in the USA pp. 419-439

- Sounak Chakraborty, Tanujit Dey, Yoonbae Jun, Chae Young Lim, Anish Mukherjee and Francesca Dominici
- Multi-Scale Vecchia Approximations of Gaussian Processes pp. 440-460

- Jingjie Zhang and Matthias Katzfuss
- Interpolation of Precipitation Extremes on a Large Domain Toward IDF Curve Construction at Unmonitored Locations pp. 461-486

- Jonathan Jalbert, Christian Genest and Luc Perreault
- Spatial Modeling of Day-Within-Year Temperature Time Series: An Examination of Daily Maximum Temperatures in Aragón, Spain pp. 487-505

- Jorge Castillo-Mateo, Miguel Lafuente, Jesús Asín, Ana C. Cebrián, Alan E. Gelfand and Jesús Abaurrea
- Time-Varying Functional Principal Components for Non-Stationary EpCO $$_2$$ 2 in Freshwater Systems pp. 506-522

- Amira Elayouty, Marian Scott and Claire Miller
- Robust Functional Principal Component Analysis Based on a New Regression Framework pp. 523-543

- Haolun Shi and Jiguo Cao
- Incorporating Historical Data When Determining Sample Size Requirements for Aquatic Toxicity Experiments pp. 544-561

- Jing Zhang, Yunzhi Kong, A. John Bailer, Zheng Zhu and Byran Smucker
- A Spatial Modeling Framework for Monitoring Surveys with Different Sampling Protocols with a Case Study for Bird Abundance in Mid-Scandinavia pp. 562-591

- Jorge Sicacha-Parada, Diego Pavon-Jordan, Ingelin Steinsland, Roel May, Bård Stokke and Ingar Jostein Øien
- Review of “Using R for Modelling and Quantitative Methods in Fisheries” by Malcom Haddon pp. 592-594

- Michael A. Spence
Volume 27, issue 2, 2022
- Bayesian Analysis of Nonnegative Data Using Dependency-Extended Two-Part Models pp. 201-221

- Mariana Rodrigues-Motta and Johannes Forkman
- An Extreme Value Bayesian Lasso for the Conditional Left and Right Tails pp. 222-239

- M. Carvalho, S. Pereira, P. Pereira and P. Zea Bermudez
- Estimation of Multivariate Dependence Structures via Constrained Maximum Likelihood pp. 240-260

- Nurudeen A. Adegoke, Andrew Punnett and Marti J. Anderson
- Sample Design and Estimation When Using a Web-Scraped List Frame and Capture-Recapture Methods pp. 261-279

- Linda J. Young and Michael Jacobsen
- Probabilistic Forecasts of Arctic Sea Ice Thickness pp. 280-302

- Peter A. Gao, Hannah M. Director, Cecilia M. Bitz and Adrian E. Raftery
- Population Size Estimation Using Zero-Truncated Poisson Regression with Measurement Error pp. 303-320

- Wen-Han Hwang, Jakub Stoklosa and Ching-Yun Wang
- A Two-Species Occupancy Model with a Continuous-Time Detection Process Reveals Spatial and Temporal Interactions pp. 321-338

- Kenneth F. Kellner, Arielle W. Parsons, Roland Kays, Joshua J. Millspaugh and Christopher T. Rota
- Hidden Markov and Semi-Markov Models When and Why are These Models Useful for Classifying States in Time Series Data? pp. 339-363

- Sofia Ruiz-Suarez, Vianey Leos-Barajas and Juan Manuel Morales
- Improving Wildlife Population Inference Using Aerial Imagery and Entity Resolution pp. 364-381

- Xinyi Lu, Mevin B. Hooten, Andee Kaplan, Jamie N. Womble and Michael R. Bower
- Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling pp. 382-400

- Devin S. Johnson, Brian M. Brost and Mevin B. Hooten
Volume 27, issue 1, 2022
- EDITORIAL from Jorge Mateu pp. 1-3

- Jorge Mateu
- Spatial Generalized Linear Models with Non-Gaussian Translation Processes pp. 4-21

- Robert Richardson
- A Higher-Order Singular Value Decomposition Tensor Emulator for Spatiotemporal Simulators pp. 22-45

- Giri Gopalan and Christopher K. Wikle
- A Directionally Varying Change Points Model for Quantifying the Impact of a Point Source pp. 46-62

- Jiafang Song and Joshua L. Warren
- Bayesian Estimation for the GreenLab Plant Growth Model with Deterministic Organogenesis pp. 63-87

- D. Logothetis, S. Malefaki, S. Trevezas and P.-H. Cournède
- Modeling Forest Tree Data Using Sequential Spatial Point Processes pp. 88-108

- Adil Yazigi, Antti Penttinen, Anna-Kaisa Ylitalo, Matti Maltamo, Petteri Packalen and Lauri Mehtätalo
- Generalized Fiducial Inference for Threshold Estimation in Dose–Response and Regression Settings pp. 109-124

- Seungyong Hwang, Randy C. S. Lai and Thomas C. M. Lee
- Bayesian Models for Analysis of Inventory and Monitoring Data with Non-ignorable Missingness pp. 125-148

- Luke J. Zachmann, Erin M. Borgman, Dana L. Witwicki, Megan C. Swan, Cheryl McIntyre and N. Thompson Hobbs
- Function-on-Function Partial Quantile Regression pp. 149-174

- Ufuk Beyaztas, Han Lin Shang and Aylin Alin
- Techniques to Improve Ecological Interpretability of Black-Box Machine Learning Models pp. 175-197

- Thomas Welchowski, Kelly O. Maloney, Richard Mitchell and Matthias Schmid
- Measuring abundance: Methods for the Estimation of Population Size and Species Richness pp. 198-199

- Stephen Buckland
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