Modelling Point Referenced Spatial Count Data: A Poisson Process Approach (Q69412)

scientific article from arXiv

Language	Label	Description	Also known as
English	Modelling Point Referenced Spatial Count Data: A Poisson Process Approach	scientific article from arXiv

Statements

instance of

scholarly article

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publication date

8 May 2021

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19 March 2024

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arXiv classification

stat.ME

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author

Diego Morales-Navarrete

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Christian Caamaño-Carrillo

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Modeling Point Referenced Spatial Count Data: A Poisson Process Approach (English)

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published in

Journal of the American Statistical Association

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full work available at URL

https://arxiv.org/abs/2105.03734

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http://hdl.handle.net/10278/5006720

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zbMATH Keywords

Gaussian copula

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Gaussian random field

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pairwise likelihood function

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Poisson distribution

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renewal process

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cites work

The multivariate Poisson-log normal distribution

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Efficient pairwise composite likelihood estimation for spatial-clustered data

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Non‐Gaussian geostatistical modeling using (skew) t processes

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Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics

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Comparing composite likelihood methods based on pairs for spatial Gaussian random fields

0 references

Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach

0 references

Q5470884

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Bayesian Prediction of Spatial Count Data Using Generalized Linear Mixed Models

0 references

Q3286690

0 references

Q3058567

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On Optimal Point and Block Prediction in Log-Gaussian Random Fields

0 references

Hierarchical Poisson models for spatial count data

0 references

Model-based Geostatistics for Global Public Health

0 references

Model-Based Geostatistics

0 references

Model-based geostatistics.

0 references

Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy

0 references

A Primer on Copulas for Count Data

0 references

Nonseparable, Stationary Covariance Functions for Space–Time Data

0 references

Strictly and non-strictly positive definite functions on spheres

0 references

Q3084090

0 references

On the Correlation Structure of Gaussian Copula Models for Geostatistical Count Data

0 references

A Composite Likelihood Approach to Binary Spatial Data

0 references

Renewal theory in two dimensions: Basic results

0 references

Dependence Modeling with Copulas

0 references

On weighting of bivariate margins in pairwise likelihood

0 references

Copula-based geostatistical modeling of continuous and discrete data including covariates

0 references

Q5843967

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Remarks on a Multivariate Gamma Distribution

0 references

A Multivariate Gamma-Type Distribution

0 references

An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach

0 references

Q3825957

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Beyond the Poisson renewal process: a tutorial survey

0 references

Bayesian computing with INLA: new features

0 references

Gaussian copula marginal regression

0 references

Convergence of Gaussian quasi-likelihood random fields for ergodic Lévy driven SDE observed at high frequency

0 references

Gaussian Markov Random Fields

0 references

Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations

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Interpolation of spatial data. Some theory for kriging

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Q3074760

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Q4346045

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Identifiers

arXiv ID

2105.03734

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DOI

10.1080/01621459.2022.2140053

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10.48550/ARXIV.2105.03734

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:69412