:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Anabel Blasco‐Moreno, Pedro Puig
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2025
Soggetti:	Environmetrics
Accesso online:	https://onlinelibrary.wiley.com/doi/10.1002/env.70013
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Simulation‐Based Inference for Close‐Kin Mark‐Recapture: Implications for Small Populations and Nonrandom Mating
di: Paul B. Conn
Pubblicazione: (2025)

New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models
di: Thiago A. N. De Andrade, et al.
Pubblicazione: (2025)

Estimating Extreme Wave Surges in the Presence of Missing Data
di: James H. McVittie, et al.
Pubblicazione: (2025)

A Modelling Framework for Estimating Underlying Lagged Effects in Aggregated Health Data
di: Theo Economou
Pubblicazione: (2026)

Combined Quantile Forecasting for High‐Dimensional Non‐Gaussian Data
di: Seeun Park, et al.
Pubblicazione: (2025)

Estimation of Parameters in Inhomogeneous Neyman‐Scott Processes Using Presence/Absence Data
di: Magnus Ekström, et al.
Pubblicazione: (2026)

Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data
di: Zih‐Bing Chen, et al.
Pubblicazione: (2025)

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

Estimation of Impact Ranges for Functional Valued Predictors
di: Rory Samuels, et al.
Pubblicazione: (2025)

A Matsuoka‐Based GARMA Model for Environmental and Energy Systems: Theory, Estimation, and Applications
di: Guilherme Pumi, et al.
Pubblicazione: (2026)

Correction to “Estimation of Impact Ranges for Functional Valued Predictors”
Pubblicazione: (2025)

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

Non‐Stationarities in Extreme Hourly Precipitation Over the Piave Basin, Northern Italy
di: Dáire Healy, et al.
Pubblicazione: (2025)

Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications
di: Elliot Maceda, et al.
Pubblicazione: (2026)

A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures
di: David H. da Matta, et al.
Pubblicazione: (2026)

Estimation of Spatial and Temporal Autoregressive Effects Using LASSO —An Example of Hourly Particulate Matter Concentrations
di: Elkanah Nyabuto, et al.
Pubblicazione: (2026)

A Partially Varying‐Coefficient Model With Skew‐T Random Errors for Environmental Data Modeling
di: Christian Caamaño‐Carrillo, et al.
Pubblicazione: (2025)

A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data
di: Nirajan Bam, et al.
Pubblicazione: (2026)

On Tail Structural Change in U.S. Climate Data
di: Hanjun Lu, et al.
Pubblicazione: (2025)

Estimating the spatial distribution of the white shark in the Mediterranean Sea via an integrated species distribution model accounting for physical barriers
di: Greta Panunzi, et al.
Pubblicazione: (2024)

Developments in Functional Regression Model for Network Structured Data
di: Elvira Romano, et al.
Pubblicazione: (2025)

Accounting for Missing Data When Modelling Block Maxima
di: Emma S. Simpson, et al.
Pubblicazione: (2026)

Does Wind Affect the Orientation of Vegetation Stripes? A Copula‐Based Mixture Model for Axial and Circular Data
di: Marco Mingione, et al.
Pubblicazione: (2025)

A Spatial and Spatiotemporal Statistical Downscaling Model for Combining Spatially Misaligned Maximum Temperature Data Using R‐INLA
di: Sylvia A. Shawky, et al.
Pubblicazione: (2025)

Fuzzy Clustering of Circular Time Series With Applications to Wind Data
di: Ángel López‐Oriona, et al.
Pubblicazione: (2025)

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

WOMBAT v2.S: A Bayesian Inversion Framework for Attributing Global CO 2 Flux Components From Multiprocess Data
di: Josh Jacobson, et al.
Pubblicazione: (2025)

Compactly‐Supported Nonstationary Kernels for Computing Exact Gaussian Processes on Big Data
di: Mark D. Risser, et al.
Pubblicazione: (2025)

Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score
di: Chiara Di Maria, et al.
Pubblicazione: (2026)

Multiscale Multi‐Type Spatial Bayesian Analysis for High‐Dimensional Data With Application to Wildfires and Migration
di: Shijie Zhou, et al.
Pubblicazione: (2025)

Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model
di: Arnoldus F. Otto, et al.
Pubblicazione: (2026)

Enhancing the Accuracy of Spatio‐Temporal Models for Wind Speed Prediction by Incorporating Bias‐Corrected Crowdsourced Data
di: Eamonn Organ, et al.
Pubblicazione: (2026)

Learning From Limited Temporal Data: Dynamically Sparse Historical Functional Linear Models With Applications to Earth Science
di: Joseph Janssen, et al.
Pubblicazione: (2025)

Unified Calibration and Spatial Mapping of Fine Particulate Matter Data From Multiple Low‐Cost Air Pollution Sensor Networks in Baltimore, Maryland
di: Claire Heffernan, et al.
Pubblicazione: (2026)

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
di: Brook T. Russell, et al.
Pubblicazione: (2024)

A Dynamic Model for Extreme Hourly Precipitation
di: Debbie J. Dupuis, et al.
Pubblicazione: (2026)

A flexible and interpretable spatial covariance model for data on graphs
di: Michael F. Christensen, et al.
Pubblicazione: (2024)

A Hybrid Nonparametric Framework for Outlier Detection in Functional Time Series
di: David Solano, et al.
Pubblicazione: (2026)

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