Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction
DOI10.1214/19-AOAS1281zbMath1435.62415arXiv1903.05036WikidataQ108158698 ScholiaQ108158698MaRDI QIDQ2291528
Jason McLachlan, Mevin B. Hooten, Robert K. Booth, Connor Nolan, John R. Tipton
Publication date: 31 January 2020
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1903.05036
model comparisonBayesian hierarchical modelsecological functional response modelpredictive validation
Inference from stochastic processes and prediction (62M20) Estimation in multivariate analysis (62H12) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)
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