Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction-Reference-Cited by-同舟云学术

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Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction

Published:2019-12-01 Issue:4 Volume:13 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Tipton John R.,Hooten Mevin B.,Nolan Connor,Booth Robert K.,McLachlan Jason

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://projecteuclid.org/download/pdfview_1/euclid.aoas/1574910048

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A mixture of logistic skew-normal multinomial models;Computational Statistics & Data Analysis;2024-08

2. A Bayesian Nonparametric Approach to Unmixing Detrital Geochronologic Data;Mathematical Geosciences;2021-07-08

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