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Published: (2024)

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Published: (2025)

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Published: (2025)

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Published: (2025)

Catalysing virtual collaboration: The experience of the remote TIES working groups
by: M. Meis, et al.
Published: (2024)

Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression
by: Emrah Gecili, et al.
Published: (2024)

Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems
by: Hiroko Kato Solvang, et al.
Published: (2024)

Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment
by: Marnie I. Low, et al.
Published: (2024)

Structural equation models for simultaneous modeling of air pollutants
by: Mariaelena Bottazzi Schenone, et al.
Published: (2024)

Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects
by: Jesper Muren, et al.
Published: (2024)

2023 Editorial Collaborators
Published: (2024)

Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas
by: David Jobst, et al.
Published: (2024)

Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models
by: Matteo Fontana, et al.
Published: (2024)

Assessing predictability of environmental time series with statistical and machine learning models
by: Matthew Bonas, et al.
Published: (2024)

Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires
by: Elizabeth S. Lawler, et al.
Published: (2024)

Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data
by: Fabian R. Ketwaroo, et al.
Published: (2024)

How to find the best sampling design: A new measure of spatial balance
by: Wilmer Prentius, et al.
Published: (2024)

Characterizing Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern US Rocky Mountains via the Tail Dependence Regression Framework With a Gibbs Posterior Inference Approach
by: Brook T. Russell, et al.
Published: (2024)

A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions
by: Svetlana Saarela, et al.
Published: (2024)

Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression
by: Matteo Tomasetto, et al.
Published: (2024)

Multivariate nearest‐neighbors Gaussian processes with random covariance matrices
by: Isabelle Grenier, et al.
Published: (2024)

On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters
by: Sihan Chen, et al.
Published: (2024)

Fast parameter estimation of generalized extreme value distribution using neural networks
by: Sweta Rai, et al.
Published: (2024)

Functional zoning of biodiversity profiles
by: Natalia Golini, et al.
Published: (2024)

Pointwise data depth for univariate and multivariate functional outlier detection
by: Cristian F. Jiménez‐Varón, et al.
Published: (2024)

Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation
by: Jay M. Ver Hoef, et al.
Published: (2024)

Entropy‐Based Assessment of Biodiversity, With Application to Ants' Nests Data
by: L. Altieri, et al.
Published: (2024)

Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions
by: Rosa M. Di Biase, et al.
Published: (2024)

Similarity network aggregation for the analysis of glacier ecosystems
by: Roberto Ambrosini, et al.
Published: (2024)

A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities
by: Serena Arima, et al.
Published: (2024)

A hierarchical constrained density regression model for predicting cluster‐level dose‐response
by: Michael L. Pennell, et al.
Published: (2024)