On covariate importance for regression models with multivariate response

DOI10.1007/s13253-014-0187-9zbMath1314.62254OpenAlexW2018161012MaRDI QIDQ2348814

Jenný Brynjarsdóttir, Alan E. Gelfand

Publication date: 16 June 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-014-0187-9

zbMATH Keywords

nonlinear modelsensitivity analysisclimate sensitivitypredictive varianceinverse predictive distribution

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

• Dynamic inverse prediction and sensitivity analysis with high-dimensional responses: application to climate-change vulnerability of biodiversity
• Information importance of predictors: concept, measures, Bayesian inference, and applications
• A combinatorial construction of high order algorithms for finding polynomial roots of known multiplicity
• Analysis of multivariate probit models
• Exploring Partial Residual Plots
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Generalized Linear Latent Variable Models for Repeated Measures of Spatially Correlated Multivariate Data
• Parameterization and Bayesian Modeling

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