On modeling positive continuous data with spatiotemporal dependence-Reference-Cited by-同舟云学术

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On modeling positive continuous data with spatiotemporal dependence

Published:2020-06-22 Issue:7 Volume:31 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Bevilacqua Moreno¹²,Caamaño‐Carrillo Christian³,Gaetan Carlo⁴

Affiliation:

1. Department of Statistics Universidad de Valparaiso Valparaiso Chile

2. Millennium Nucleus Center for the Discovery of Structures in Complex Data Santiago Chile

3. Department of Statistics Universidad del Bío‐Bío Concepcion Chile

4. Dipartimento di Scienze Ambientali, Informatica e Statistica Università Ca' Foscari di Venezia Venice Italy

Funder

Fondo Nacional de Desarrollo Científico y Tecnológico

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2632

Reference54 articles.

1. A latent Gaussian Markov random-field model for spatiotemporal rainfall disaggregation

2. Log‐normal distribution based Ensemble Model Output Statistics models for probabilistic wind‐speed forecasting

3. Copula-based geostatistical models for groundwater quality parameters

4. Geostatistical Modelling of Wildlife Populations: A Non-stationary Hierarchical Model for Count Data

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