A Bayesian Statistical Model for End Member Analysis of Sediment Geochemistry, Incorporating Spatial Dependences

DOI10.1111/j.1467-9876.2007.00615.xzbMath1273.62259OpenAlexW2103087220MaRDI QIDQ3634602

Mark Palmer, Grant B. Douglas

Publication date: 25 June 2009

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9876.2007.00615.x

zbMATH Keywords

Markov chain Monte Carlo methodsspatial predictioncompositional datasedimentsend member model

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Hydrology, hydrography, oceanography (86A05) Geostatistics (86A32)

Related Items (3)

Bayesian stable isotope mixing models ⋮ A review of compositional data analysis and recent advances ⋮ BEMMA: a hierarchical Bayesian end-member modeling analysis of sediment grain-size distributions

Uses Software

• R
• ElemStatLearn

Cites Work

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