A spatial modeling framework for monitoring surveys with different sampling protocols with a case study for bird abundance in Mid-Scandinavia
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Publication:2102978
DOI10.1007/s13253-022-00498-yOpenAlexW4281264051WikidataQ125937802 ScholiaQ125937802MaRDI QIDQ2102978
Ingelin Steinsland, Bård Stokke, Jorge Sicacha-Parada, Ingar Jostein Øien, Roel May, Diego Pavon-Jordan
Publication date: 12 December 2022
Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2104.05751
Bayesian statisticsdata integrationlatent Gaussian modelsGaussian random fieldsjoint species distribution models
Uses Software
Cites Work
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- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- spBayes
- Understanding predictive information criteria for Bayesian models
- Going off grid: computationally efficient inference for log-Gaussian Cox processes
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Bayesian Measures of Model Complexity and Fit
- Gaussian Markov Random Fields
- Bayesian Inference with INLA
- Constructing Priors that Penalize the Complexity of Gaussian Random Fields
- Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
- Spatial and Spatio‐temporal Bayesian Models with R‐INLA
- Strictly Proper Scoring Rules, Prediction, and Estimation