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December 2024, Volume 29, Issue 4
- 649-670 Two Tests of Significance for Preferred Direction in Tree Radial Growth Under a Linear-Circular Regression Model with Correlated Random Errors
by Pierre Dutilleul & Tomoaki Imoto & Kunio Shimizu - 671-694 A Spatial Mixture Model for Spaceborne Lidar Observations Over Mixed Forest and Non-forest Land Types
by Paul B. May & Andrew O. Finley & Ralph O. Dubayah - 695-722 Models to Support Forest Inventory and Small Area Estimation Using Sparsely Sampled LiDAR: A Case Study Involving G-LiHT LiDAR in Tanana, Alaska
by Andrew O. Finley & Hans-Erik Andersen & Chad Babcock & Bruce D. Cook & Douglas C. Morton & Sudipto Banerjee - 723-744 3D Point Cloud Semantic Segmentation Through Functional Data Analysis
by Manuel Oviedo de la Fuente & Carlos Cabo & Javier Roca-Pardiñas & E. Louise Loudermilk & Celestino Ordóñez - 745-765 Design and Analysis of a Microplate Assay in the Presence of Multiple Restrictions on the Randomization
by Alexandre Bohyn & Eric D. Schoen & Chee Ping Ng & Kristina Bishard & Manon Haarmans & Sebastian J. Trietsch & Peter Goos - 766-792 Model-Based Geostatistics Under Spatially Varying Preferential Sampling
by André Victor Ribeiro Amaral & Elias Teixeira Krainski & Ruiman Zhong & Paula Moraga - 793-811 Geographically Weighted Regression-Based Model Calibration Estimation of Finite Population Total Under Geo-referenced Complex Surveys
by Bappa Saha & Ankur Biswas & Tauqueer Ahmad & Nobin Chandra Paul - 812-830 Estimating Species Abundance from Presence–Absence Maps by Kernel Estimation
by Ya-Mei Chang & Ying-Chi Huang - 831-852 Order Restricted Randomized Block Designs
by Omer Ozturk & Richard Jarrett & Olena Kravchuk - 853-873 Two Gaussian Regularization Methods for Time-Varying Networks
by Jie Jian & Peijun Sang & Mu Zhu - 874-894 Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data
by Li Xu & Yili Hong & Eric P. Smith & David S. McLeod & Xinwei Deng & Laura J. Freeman
September 2024, Volume 29, Issue 3
- 417-437 The $$\beta $$ β -divergence for Bandwidth Selection in Circular Kernel Density Estimation
by Babacar Diakhate & Hamza Dhaker & Papa Ngom - 438-454 Sample Size for Estimating Disease Prevalence in Free-Ranging Wildlife Populations: A Bayesian Modeling Approach
by 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 - 455-470 Spatial Confounding and Spatial+ for Nonlinear Covariate Effects
by Emiko Dupont & Nicole H. Augustin - 471-490 Accommodating False Positives Within Acoustic Spatial Capture–Recapture, with Variable Source Levels, Noisy Bearings and an Inhomogeneous Spatial Density
by Felix T. Petersma & Len Thomas & Aaron M. Thode & Danielle Harris & Tiago A. Marques & Gisela V. Cheoo & Katherine H. Kim - 491-515 An Application of Spatio-Temporal Modeling to Finite Population Abundance Prediction
by Matt Higham & Michael Dumelle & Carly Hammond & Jay Hoef & Jeff Wells - 516-535 Comparing Methods for Determining Power Priors Based on Different Congruence Measures
by Jing Zhang & Ainsley Helling & A. John Bailer - 536-552 Predicting the Temperature-Driven Development of Stage-Structured Insect Populations with a Bayesian Hierarchical Model
by Kala Studens & Benjamin M. Bolker & Jean-Noël Candau - 553-575 Environmental Effects on the Spatiotemporal Variability of Sardine Distribution Along the Portuguese Continental Coast
by Daniela Silva & Raquel Menezes & Ana Moreno & Ana Teles-Machado & Susana Garrido - 576-600 Integrating Different Data Sources Using a Bayesian Hierarchical Model to Unveil Glacial Refugia
by Mauricio Campos & Bo Li & Guillaume Lafontaine & Joseph Napier & Feng Sheng Hu - 601-620 Principal Component Analysis of Two-dimensional Functional Data with Serial Correlation
by Shirun Shen & Huiya Zhou & Kejun He & Lan Zhou - 621-644 Monitoring and Comparing Air and Green House Gases Emissions of Various Countries
by Ambreen Shafqat & Qurat ul An Sabir & Su-Fen Yang & Muhammad Aslam & Mohammed Albassam & Kashif Abbas - 645-647 Review of “Numerical Methods in Environmental Data Analysis” by Moses Eterigho Emetere
by Mudarris Mudarris & Desy Permatasari
June 2024, Volume 29, Issue 2
- 193-211 Clustered and Unclustered Group Testing for Biosecurity
by Robert Graham Clark & Belinda Barnes & Mahdi Parsa - 212-231 Locally Anisotropic Nonstationary Covariance Functions on the Sphere
by Jian Cao & Jingjie ZHANG & Zhuoer SUN & Matthias Katzfuss - 232-256 Covariance Clustering: Modelling Covariance in Designed Experiments When the Number of Variables is Greater than Experimental Units
by 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 - 257-276 Testing Correlation in a Three-Level Model
by Anna Szczepańska-Álvarez & Adolfo Álvarez & Artur Szwengiel & Dietrich Rosen - 277-300 A New Type of LASSO Regression Model with Cauchy Noise
by Amir Hossein Ghatari & Mina Aminghafari & Adel Mohammadpour - 301-319 Assessing Spatial Stationarity and Segmenting Spatial Processes into Stationary Components
by ShengLi Tzeng & Bo-Yu Chen & Hsin-Cheng Huang - 320-345 Spatial Wildfire Risk Modeling Using a Tree-Based Multivariate Generalized Pareto Mixture Model
by Daniela Cisneros & Arnab Hazra & Raphaël Huser - 346-378 Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks
by Matthias Eckardt & Mehdi Moradi - 379-388 Discussion of the Paper “Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks”
by Ottmar Cronie & Julia Jansson & Konstantinos Konstantinou - 389-391 Discussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi
by Pavel Grabarnik & Arne Pommerening - 392-394 Discussion of the Paper by Eckardt and Moradi
by Dietrich Stoyan - 395-398 Discussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi
by M. N. M. Lieshout - 399-404 Discussion of “Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks”
by Mari Myllymäki & Tuomas Rajala & Aila Särkkä - 405-416 Rejoinder on ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’
by Matthias Eckardt & Mehdi Moradi
March 2024, Volume 29, Issue 1
- 1-18 A Modified Neighborhood Hypothesis Test for Population Mean in Functional Data
by Dhanamalee Bandara & Leif Ellingson & Souparno Ghosh & Ranadip Pal - 19-35 Estimator of Agreement with Covariate Adjustment
by Katelyn A. McKenzie & Jonathan D. Mahnken - 36-55 Multivariate Modeling of Precipitation-Induced Home Insurance Risks Using Data Depth
by Asim K. Dey & Vyacheslav Lyubchich & Yulia R. Gel - 56-72 Nonparametric Conditional Risk Mapping Under Heteroscedasticity
by Rubén Fernández-Casal & Sergio Castillo-Páez & Mario Francisco-Fernández - 73-91 A Novel Framework and a New Score for the Comparative Analysis of Forest Models Accounting for the Impact of Climate Change
by Nikola Besic & Nicolas Picard & Julien Sainte-Marie & Modeste Meliho & Christian Piedallu & Myriam Legay - 92-109 Presence-Only for Marked Point Process Under Preferential Sampling
by Guido A. Moreira & Raquel Menezes & Laura Wise - 110-129 Bayesian Hierarchical Models for the Combination of Spatially Misaligned Data: A Comparison of Melding and Downscaler Approaches Using INLA and SPDE
by Ruiman Zhong & Paula Moraga - 130-146 Spatially Clustered Survey Designs
by Scott D. Foster & Emma Lawrence & Andrew J. Hoskins - 147-168 Spatiotemporal Event Studies for Environmental Data Under Cross-Sectional Dependence: An Application to Air Quality Assessment in Lombardy
by Paolo Maranzano & Matteo Pelagatti - 169-184 A Nonparametric Bootstrap Method for Heteroscedastic Functional Data
by Rubén Fernández-Casal & Sergio Castillo-Páez & Miguel Flores - 185-188 J. A. Diehl and H. Kaur (Eds.): New Forms of Urban Agriculture: An Urban Ecology Perspective—A Book Review
by Prodipto Bishnu Angon - 189-191 Review of “Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting” by Anuradha Tomar, Prerna Gaur, and Xiaolong Jin (Editors)
by Dani Pasaribu & Alrend Roy Peterson Kaputing & Delvianus Kaesmentan
December 2023, Volume 28, Issue 4
- 591-593 Review of “Mixed-Effects Models and Small Area Estimation” by Shonosuke Sugasawa and Tatsuya Kubokawa
by Desak Made Goldyna Rarasari - 594-596 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)
by Edyanto & Lukman Arifin & Syaharuddin - 597-617 Bayesian Nonparametric Generative Modeling of Large Multivariate Non-Gaussian Spatial Fields
by Paul F. V. Wiemann & Matthias Katzfuss - 618-635 The Third Competition on Spatial Statistics for Large Datasets
by Yiping Hong & Yan Song & Sameh Abdulah & Ying Sun & Hatem Ltaief & David E. Keyes & Marc G. Genton - 636-663 Rankıng Districts of Çanakkale in Terms of Rangeland Quality by Fuzzy MCDM Methods
by Zeynep Gökkuş & Sevil Şentürk & Fırat Alatürk - 664-683 Regularised Semi-parametric Composite Likelihood Intensity Modelling of a Swedish Spatial Ambulance Call Point Pattern
by Fekadu L. Bayisa & Markus Ådahl & Patrik Rydén & Ottmar Cronie - 684-705 Role of Taxa Age and Geologic Range: Survival Analysis of Marine Biota over the Last 538 Million Years
by Lilian B. Pérez-Sosa & Miguel Nakamura & Pablo Monte-Luna & Alba Vicente - 706-725 A Variance Partitioning Multi-level Model for Forest Inventory Data with a Fixed Plot Design
by Isa Marques & Paul F. V. Wiemann & Thomas Kneib - 726-748 A Flexible Generalized Poisson Likelihood for Spatial Counts Constructed by Renewal Theory, Motivated by Groundwater Quality Assessment
by Mahsa Nadifar & Hossein Baghishani & Afshin Fallah - 749-773 Deep Spatial Q-Learning for Infectious Disease Control
by Zhishuai Liu & Jesse Clifton & Eric B. Laber & John Drake & Ethan X. Fang - 774-791 Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology
by Michael R. Schwob & Mevin B. Hooten & Travis McDevitt-Galles
September 2023, Volume 28, Issue 3
- 377-400 A Bayesian Partial Membership Model for Multiple Exposures with Uncertain Group Memberships
by Alexis E. Zavez & Emeir M. McSorley & Alison J. Yeates & Sally W. Thurston - 401-422 Fusion Learning of Functional Linear Regression with Application to Genotype-by-Environment Interaction Studies
by Shan Yu & Aaron M. Kusmec & Li Wang & Dan Nettleton - 423-441 Bayesian Latent Variable Co-kriging Model in Remote Sensing for Quality Flagged Observations
by Bledar A. Konomi & Emily L. Kang & Ayat Almomani & Jonathan Hobbs - 442-465 Assessing Ecosystem State Space Models: Identifiability and Estimation
by J. W. Smith & L. R. Johnson & R. Q. Thomas - 466-482 A Dynamic Occupancy Model for Interacting Species with Two Spatial Scales
by Eivind Flittie Kleiven & Frédéric Barraquand & Olivier Gimenez & John-André Henden & Rolf Anker Ims & Eeva Marjatta Soininen & Nigel Gilles Yoccoz - 483-501 A Shared Latent Process Model to Correct for Preferential Sampling in Disease Surveillance Systems
by Brian Conroy & Lance A. Waller & Ian D. Buller & Gregory M. Hacker & James R. Tucker & Mark G. Novak - 502-525 Estimation and Clustering of Directional Wave Spectra
by Zihao Wu & Carolina Euan & Rosa M. Crujeiras & Ying Sun - 526-548 Design of Agricultural Field Experiments Accounting for both Complex Blocking Structures and Network Effects
by Vasiliki Koutra & Steven G. Gilmour & Ben M. Parker & Andrew Mead - 549-563 Water Resource Surveillance for the Salton Sea in California By Adaptive Sequential Monitoring of Its Landsat Images
by Fan Yi & Peihua Qiu - 564-590 Improving Detection of Changepoints in Short and Noisy Time Series with Local Correlations: Connecting the Events in Pixel Neighbourhoods
by Tuomas Rajala & Petteri Packalen & Mari Myllymäki & Annika Kangas
June 2023, Volume 28, Issue 2
- 197-218 A Causal Mediation Model for Longitudinal Mediators and Survival Outcomes with an Application to Animal Behavior
by Shuxi Zeng & Elizabeth C. Lange & Elizabeth A. Archie & Fernando A. Campos & Susan C. Alberts & Fan Li - 219-242 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
by Kevin Granville & Douglas G. Woolford & C. B. Dean & Colin B. McFayden - 243-259 Detecting Changes in Dynamic Social Networks Using Multiply-Labeled Movement Data
by Zaineb L. Boulil & John W. Durban & Holly Fearnbach & Trevor W. Joyce & Samantha G. M. Leander & Henry R. Scharf - 260-278 Spatiotemporal Exposure Prediction with Penalized Regression
by Nathan A. Ryder & Joshua P. Keller - 279-298 Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis
by Ting Fung Ma & Fangfang Wang & Jun Zhu & Anthony R. Ives & Katarzyna E. Lewińska - 299-323 An Approach for Specifying Trimming and Winsorization Cutoffs
by Kedai Cheng & Derek S. Young - 324-344 Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach
by Huang Huang & Stefano Castruccio & Allison H. Baker & Marc G. Genton - 345-348 Discussion on “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach”
by Andrew Poppick - 349-351 Response to: Saving Storage in Climate Ensembles
by Wesley S. Burr - 352-357 Discussion of “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach”
by Abhirup Datta - 358-364 Discussion on “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach”
by Julie Bessac & Robert Underwood & Sheng Di - 365-369 Discussion of “Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach” by Huang Huang, Stefano Castruccio, Allison H. Baker and Marc Genton
by Sudipto Banerjee - 370-374 Rejoinder on ‘Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach’
by Huang Huang & Stefano Castruccio & Allison H. Baker & Marc G. Genton - 375-376 Review of Handbook of Graphs and Networks in People Analytics: With Examples in R and Python by Keith McNulty
by Sa Ren
March 2023, Volume 28, Issue 1
- 1-19 A Mixed Model for Assessing the Effect of Numerous Plant Species Interactions on Grassland Biodiversity and Ecosystem Function Relationships
by Jack McDonnell & Thomas McKenna & Kathryn A. Yurkonis & Deirdre Hennessy & Rafael Andrade Moral & Caroline Brophy - 20-41 Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality
by Kevin P. Josey & Priyanka deSouza & Xiao Wu & Danielle Braun & Rachel Nethery - 42-42 Correction to: Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality
by Kevin P. Josey & Priyanka deSouza & Xiao Wu & Danielle Braun & Rachel Nethery - 43-58 Computational Efficiency and Precision for Replicated-Count and Batch-Marked Hidden Population Models
by Matthew R. P. Parker & Laura L. E. Cowen & Jiguo Cao & Lloyd T. Elliott - 59-73 A Spatial Logistic Regression Model Based on a Valid Skew-Gaussian Latent Field
by Vahid Tadayon & Mohammad Mehdi Saber - 74-98 Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France
by Matthew Heiner & Matthew J. Heaton & Benjamin Abbott & Philip White & Camille Minaudo & Rémi Dupas - 99-116 Distributional Validation of Precipitation Data Products with Spatially Varying Mixture Models
by Lynsie R. Warr & Matthew J. Heaton & William F. Christensen & Philip A. White & Summer B. Rupper - 117-137 Zero-Inflated Beta Distribution Regression Modeling
by Becky Tang & Henry A. Frye & Alan E. Gelfand & John A. Silander - 138-156 Inference in Spatial Experiments with Interference using the SpatialEffect Package
by Cyrus Samii & Ye Wang & Jonathan Sullivan & P. M. Aronow - 157-176 Asynchronous Changepoint Estimation for Spatially Correlated Functional Time Series
by Mengchen Wang & Trevor Harris & Bo Li - 177-177 Correction to: Asynchronous Changepoint Estimation for Spatially Correlated Functional Time Series
by Mengchen Wang & Trevor Harris & Bo Li - 178-195 Modeling Community Dynamics Through Environmental Effects, Species Interactions and Movement
by Becky Tang & James S. Clark & Peter P. Marra & Alan E. Gelfand
December 2022, Volume 27, Issue 4
- 595-597 M. Schaub and M. Kéry: Integrated Population Models Theory and Ecological Applications with R and JAGS, Academic Press, 2022
by Byron J. T. Morgan - 598-621 Modelling Sub-daily Precipitation Extremes with the Blended Generalised Extreme Value Distribution
by Silius M. Vandeskog & Sara Martino & Daniela Castro-Camilo & Håvard Rue - 622-639 Spatially Balanced Sampling with Local Ranking
by B. L. Robertson & O. Ozturk & O. Kravchuk & J. A. Brown - 640-640 Correction to: Spatially Balanced Sampling with Local Ranking
by B. L. Robertson & O. Ozturk & O. Kravchuk & J. A. Brown - 641-651 Efficient Discretization of Movement Kernels for Spatiotemporal Capture–Recapture
by M. G. Efford - 652-673 Row–Column Sampling Design Using Auxiliary Ranking Variables
by Omer Ozturk & Olena Kravchuk & Raymond Correll - 674-689 Coefficients of Determination for Mixed-Effects Models
by Dabao Zhang - 690-712 On Information About Covariance Parameters in Gaussian Matérn Random Fields
by Victor De Oliveira & Zifei Han - 713-727 Optimizing Pooled Testing for Estimating the Prevalence of Multiple Diseases
by Md S. Warasi & Laura L. Hungerford & Kevin Lahmers - 728-747 A Bayesian Approach for Data-Driven Dynamic Equation Discovery
by Joshua S. North & Christopher K. Wikle & Erin M. Schliep
September 2022, Volume 27, Issue 3
- 401-418 Laplace Approximations for Capture–Recapture Models in the Presence of Individual Heterogeneity
by Riki Herliansyah & Ruth King & Stuart King - 419-439 A Spatiotemporal Analytical Outlook of the Exposure to Air Pollution and COVID-19 Mortality in the USA
by Sounak Chakraborty & Tanujit Dey & Yoonbae Jun & Chae Young Lim & Anish Mukherjee & Francesca Dominici - 440-460 Multi-Scale Vecchia Approximations of Gaussian Processes
by Jingjie Zhang & Matthias Katzfuss - 461-486 Interpolation of Precipitation Extremes on a Large Domain Toward IDF Curve Construction at Unmonitored Locations
by Jonathan Jalbert & Christian Genest & Luc Perreault - 487-505 Spatial Modeling of Day-Within-Year Temperature Time Series: An Examination of Daily Maximum Temperatures in Aragón, Spain
by Jorge Castillo-Mateo & Miguel Lafuente & Jesús Asín & Ana C. Cebrián & Alan E. Gelfand & Jesús Abaurrea - 506-522 Time-Varying Functional Principal Components for Non-Stationary EpCO $$_2$$ 2 in Freshwater Systems
by Amira Elayouty & Marian Scott & Claire Miller - 523-543 Robust Functional Principal Component Analysis Based on a New Regression Framework
by Haolun Shi & Jiguo Cao - 544-561 Incorporating Historical Data When Determining Sample Size Requirements for Aquatic Toxicity Experiments
by Jing Zhang & Yunzhi Kong & A. John Bailer & Zheng Zhu & Byran Smucker - 562-591 A Spatial Modeling Framework for Monitoring Surveys with Different Sampling Protocols with a Case Study for Bird Abundance in Mid-Scandinavia
by Jorge Sicacha-Parada & Diego Pavon-Jordan & Ingelin Steinsland & Roel May & Bård Stokke & Ingar Jostein Øien - 592-594 Review of “Using R for Modelling and Quantitative Methods in Fisheries” by Malcom Haddon
by Michael A. Spence
June 2022, Volume 27, Issue 2
- 201-221 Bayesian Analysis of Nonnegative Data Using Dependency-Extended Two-Part Models
by Mariana Rodrigues-Motta & Johannes Forkman - 222-239 An Extreme Value Bayesian Lasso for the Conditional Left and Right Tails
by M. Carvalho & S. Pereira & P. Pereira & P. Zea Bermudez - 240-260 Estimation of Multivariate Dependence Structures via Constrained Maximum Likelihood
by Nurudeen A. Adegoke & Andrew Punnett & Marti J. Anderson - 261-279 Sample Design and Estimation When Using a Web-Scraped List Frame and Capture-Recapture Methods
by Linda J. Young & Michael Jacobsen - 280-302 Probabilistic Forecasts of Arctic Sea Ice Thickness
by Peter A. Gao & Hannah M. Director & Cecilia M. Bitz & Adrian E. Raftery - 303-320 Population Size Estimation Using Zero-Truncated Poisson Regression with Measurement Error
by Wen-Han Hwang & Jakub Stoklosa & Ching-Yun Wang - 321-338 A Two-Species Occupancy Model with a Continuous-Time Detection Process Reveals Spatial and Temporal Interactions
by Kenneth F. Kellner & Arielle W. Parsons & Roland Kays & Joshua J. Millspaugh & Christopher T. Rota - 339-363 Hidden Markov and Semi-Markov Models When and Why are These Models Useful for Classifying States in Time Series Data?
by Sofia Ruiz-Suarez & Vianey Leos-Barajas & Juan Manuel Morales - 364-381 Improving Wildlife Population Inference Using Aerial Imagery and Entity Resolution
by Xinyi Lu & Mevin B. Hooten & Andee Kaplan & Jamie N. Womble & Michael R. Bower - 382-400 Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling
by Devin S. Johnson & Brian M. Brost & Mevin B. Hooten
March 2022, Volume 27, Issue 1
- 1-3 EDITORIAL from Jorge Mateu
by Jorge Mateu - 4-21 Spatial Generalized Linear Models with Non-Gaussian Translation Processes
by Robert Richardson - 22-45 A Higher-Order Singular Value Decomposition Tensor Emulator for Spatiotemporal Simulators
by Giri Gopalan & Christopher K. Wikle - 46-62 A Directionally Varying Change Points Model for Quantifying the Impact of a Point Source
by Jiafang Song & Joshua L. Warren - 63-87 Bayesian Estimation for the GreenLab Plant Growth Model with Deterministic Organogenesis
by D. Logothetis & S. Malefaki & S. Trevezas & P.-H. Cournède - 88-108 Modeling Forest Tree Data Using Sequential Spatial Point Processes
by Adil Yazigi & Antti Penttinen & Anna-Kaisa Ylitalo & Matti Maltamo & Petteri Packalen & Lauri Mehtätalo - 109-124 Generalized Fiducial Inference for Threshold Estimation in Dose–Response and Regression Settings
by Seungyong Hwang & Randy C. S. Lai & Thomas C. M. Lee - 125-148 Bayesian Models for Analysis of Inventory and Monitoring Data with Non-ignorable Missingness
by Luke J. Zachmann & Erin M. Borgman & Dana L. Witwicki & Megan C. Swan & Cheryl McIntyre & N. Thompson Hobbs - 149-174 Function-on-Function Partial Quantile Regression
by Ufuk Beyaztas & Han Lin Shang & Aylin Alin - 175-197 Techniques to Improve Ecological Interpretability of Black-Box Machine Learning Models
by Thomas Welchowski & Kelly O. Maloney & Richard Mitchell & Matthias Schmid - 198-199 Measuring abundance: Methods for the Estimation of Population Size and Species Richness
by Stephen Buckland
December 2021, Volume 26, Issue 4
- 519-537 Bayesian Optimization Approaches for Identifying the Best Genotype from a Candidate Population
by Shin-Fu Tsai & Chih-Chien Shen & Chen-Tuo Liao - 538-559 Classification of Events Using Local Pair Correlation Functions for Spatial Point Patterns
by Jonatan A. González & Francisco J. Rodríguez-Cortés & Elvira Romano & Jorge Mateu - 560-579 Agent-Based Models for Collective Animal Movement: Proximity-Induced State Switching
by Andrew Hoegh & Frank T. Manen & Mark Haroldson - 580-595 Competition on Spatial Statistics for Large Datasets
by Huang Huang & Sameh Abdulah & Ying Sun & Hatem Ltaief & David E. Keyes & Marc G. Genton - 596-598 Discussion on Competition for Spatial Statistics for Large Datasets
by Lewis R. Blake & Olga Khaliukova & Alexander Pinard & Douglas Nychka & Dorit Hammerling & Soutir Bandyopadhyay - 599-603 Discussion on Competition for Spatial Statistics for Large Datasets
by Roman Flury & Reinhard Furrer - 604-611 Discussion on “Competition on Spatial Statistics for Large Datasets”
by Denis Allard & Lucia Clarotto & Thomas Opitz & Thomas Romary - 612-613 Discussion on Competition for Spatial Statistics for Large Datasets
by Yasumasa Matsuda - 614-618 Discussion on “Competition on Spatial Statistics for Large Datasets”
by Quan Vu & Yi Cao & Josh Jacobson & Alan R. Pearse & Andrew Zammit-Mangion - 619-620 Discussion on Competition for Spatial Statistics for Large Datasets
by Joseph Guinness - 621-623 Rejoinder
by Huang Huang & Sameh Abdulah & Ying Sun & Hatem Ltaief & David E. Keyes & Marc G. Genton - 624-626 Review of Statistical Models in Toxicology by Mehdi Razzaghi
by A. John Bailer
September 2021, Volume 26, Issue 3
- 329-348 Judgment Post-stratified Assessment Combining Ranking Information from Multiple Sources, with a Field Phenotyping Example
by Omer Ozturk & Olena Kravchuk - 349-366 Spatially Smoothed Kernel Densities with Application to Crop Yield Distributions
by Kuangyu Wen & Ximing Wu & David J. Leatham - 367-386 Spatially Varying Coefficient Models with Sign Preservation of the Coefficient Functions
by Myungjin Kim & Li Wang & Yuyu Zhou - 387-408 Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid
by Yuan Yan & Hsin-Cheng Huang & Marc G. Genton - 409-427 Augmented Block Designs for Unreplicated Trials
by Linda M. Haines - 428-445 Semiparametric Mixed-Effects Ordinary Differential Equation Models with Heavy-Tailed Distributions
by Baisen Liu & Liangliang Wang & Yunlong Nie & Jiguo Cao - 446-463 Varying-Coefficient Stochastic Differential Equations with Applications in Ecology
by Théo Michelot & Richard Glennie & Catriona Harris & Len Thomas - 464-491 MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models
by Douglas R. M. Azevedo & Marcos O. Prates & Dipankar Bandyopadhyay - 492-512 Generalized Single Index Models and Jensen Effects on Reproduction and Survival
by Zi Ye & Giles Hooker & Stephen P. Ellner - 513-515 Parameter Redundancy and Identifiability, by Diana Cole
by Frédéric Barraquand - 516-517 Correction to: Correcting Bias in Survival Probabilities for Partially Monitored Populations via Integrated Models
by Blanca Sarzo & Ruth King & David Conesa & Jonas Hentati-Sundberg
June 2021, Volume 26, Issue 2
- 131-160 A Statistical Perspective on the Challenges in Molecular Microbial Biology
by Pratheepa Jeganathan & Susan P. Holmes - 161-179 Testing Independence Between Two Spatial Random Fields
by Shih-Hao Huang & Hsin-Cheng Huang & Ruey S. Tsay & Guangming Pan - 180-199 Continuous-Time Discrete-State Modeling for Deep Whale Dives
by Joshua Hewitt & Robert S. Schick & Alan E. Gelfand - 200-219 Correcting Bias in Survival Probabilities for Partially Monitored Populations via Integrated Models
by Blanca Sarzo & Ruth King & David Conesa & Jonas Hentati-Sundberg - 220-249 A Sample Covariance-Based Approach For Spatial Binary Data
by Sahar Zarmehri & Ephraim M. Hanks & Lin Lin - 250-266 Combining Environmental Area Frame Surveys of a Finite Population
by Wilmer Prentius & Xin Zhao & Anton Grafström - 267-288 Optimizing the Allocation of Trials to Sub-regions in Multi-environment Crop Variety Testing
by Maryna Prus & Hans-Peter Piepho - 289-305 Joint Modeling of Distances and Times in Point-Count Surveys
by Adam Martin-Schwarze & Jarad Niemi & Philip Dixon - 306-323 Variance Propagation for Density Surface Models
by Mark V. Bravington & David L. Miller & Sharon L. Hedley - 324-324 Correction to: Variance Propagation for Density Surface Models
by Mark V. Bravington & David L. Miller & Sharon L. Hedley - 325-327 A Review of Applied Hierarchical Modelling in Ecology: Volume 2 by Kéry and Royle
by Ben Swallow
March 2021, Volume 26, Issue 1
- 1-22 Flexible Modeling of Variable Asymmetries in Cross-Covariance Functions for Multivariate Random Fields
by Ghulam A. Qadir & Carolina Euán & Ying Sun - 23-44 Statistical Downscaling with Spatial Misalignment: Application to Wildland Fire $$\hbox {PM}_{2.5}$$ PM 2.5 Concentration Forecasting
by Suman Majumder & Yawen Guan & Brian J. Reich & Susan O’Neill & Ana G. Rappold - 45-70 Nonparametric Bayesian Functional Meta-Regression: Applications in Environmental Epidemiology
by Jaeeun Yu & Jinsu Park & Taeryon Choi & Masahiro Hashizume & Yoonhee Kim & Yasushi Honda & Yeonseung Chung - 71-89 A Generic Method for Estimating and Smoothing Multispecies Biodiversity Indicators Using Intermittent Data
by Stephen N. Freeman & Nicholas J. B. Isaac & Panagiotis Besbeas & Emily B. Dennis & Byron J. T. Morgan - 90-104 Bias Correction in Estimating Proportions by Imperfect Pooled Testing
by Graham Hepworth & Brad J. Biggerstaff - 105-127 Spatial Sampling Design Using Generalized Neyman–Scott Process
by Sze Him Leung & Ji Meng Loh & Chun Yip Yau & Zhengyuan Zhu - 128-129 Reproducible Research with R and RStudio (3rd Edition) by Christopher Gandrud
by Richard Glennie
December 2020, Volume 25, Issue 4
- 1-22 Hierarchical Modeling of Structural Coefficients for Heterogeneous Networks with an Application to Animal Production Systems
by K. Chitakasempornkul & G. J. M. Rosa & A. Jager & N. M. Bello - 453-456 Guest Editors’ Introduction to the Special Issue on “Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture”
by Hans-Peter Piepho & Robert J. Tempelman & Emlyn R. Williams - 457-486 History of the Statistical Design of Agricultural Experiments
by L. Rob Verdooren - 487-499 Substitutes for the Non-existent Square Lattice Designs for 36 Varieties
by R. A. Bailey & Peter J. Cameron & L. H. Soicher & E. R. Williams - 500-522 Multi-level Block Designs for Comparative Experiments
by Rodney N. Edmondson - 523-552 Do Spatial Designs Outperform Classic Experimental Designs?
by Raegan Hoefler & Pablo González-Barrios & Madhav Bhatta & Jose A. R. Nunes & Ines Berro & Rafael S. Nalin & Alejandra Borges & Eduardo Covarrubias & Luis Diaz-Garcia & Martin Quincke & Lucia Gutierrez - 553-578 The Design of Early-Stage Plant Breeding Trials Using Genetic Relatedness
by Brian R. Cullis & Alison B. Smith & Nicole A. Cocks & David G. Butler - 579-600 Optimization of Selective Phenotyping and Population Design for Genomic Prediction
by Nicolas Heslot & Vitaliy Feoktistov - 601-616 Optimal Design of Experiments for Hybrid Nonlinear Models, with Applications to Extended Michaelis–Menten Kinetics
by Yuanzhi Huang & Steven G. Gilmour & Kalliopi Mylona & Peter Goos - 639-656 Pseudo-Likelihood or Quadrature? What We Thought We Knew, What We Think We Know, and What We Are Still Trying to Figure Out
by Walt Stroup & Elizabeth Claassen - 657-675 Modeling Crop Phenology in the US Corn Belt Using Spatially Referenced SMOS Satellite Data
by Colin Lewis-Beck & Zhengyuan Zhu & Victoria Walker & Brian Hornbuckle - 676-698 Linear Variance, P-splines and Neighbour Differences for Spatial Adjustment in Field Trials: How are they Related?
by Martin P. Boer & Hans-Peter Piepho & Emlyn R. Williams - 699-718 Adjusting for Spatial Effects in Genomic Prediction
by Xiaojun Mao & Somak Dutta & Raymond K. W. Wong & Dan Nettleton
September 2020, Volume 25, Issue 3
- 277-291 Robust Nonparametric Regression for Heavy-Tailed Data
by Ferdos Gorji & Mina Aminghafari - 292-314 Estimating Changes in the Observed Relationship Between Humidity and Temperature Using Noncrossing Quantile Smoothing Splines
by Karen A. McKinnon & Andrew Poppick - 315-338 A Distance-based Method for Spatial Prediction in the Presence of Trend
by Carlos E. Melo & Jorge Mateu & Oscar O. Melo - 339-364 Systematic Statistical Analysis of Microbial Data from Dilution Series
by J. Andrés Christen & Albert E. Parker - 365-382 A Bayesian Markov Model with Pólya-Gamma Sampling for Estimating Individual Behavior Transition Probabilities from Accelerometer Classifications
by Toryn L. J. Schafer & Christopher K. Wikle & Jay A. VonBank & Bart M. Ballard & Mitch D. Weegman - 383-414 Vecchia Approximations of Gaussian-Process Predictions
by Matthias Katzfuss & Joseph Guinness & Wenlong Gong & Daniel Zilber - 415-430 A Nonstationary Spatial Covariance Model for Processes Driven by Point Sources
by Joshua L. Warren - 431-451 Spatial Spread Sampling Using Weakly Associated Vectors
by Raphaël Jauslin & Yves Tillé