A Bayesian, spatially-varying calibration model for the TEX86 proxy

By J. Tierney, Martin P. Tingley. 2014

295 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b9a11e87626fe6127be8695f17776051ed09c769

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. A. Diefendorf
2. E. Freimuth

In Global and Planetary Change

1. A. Diefendorf
2. E. Freimuth

Citations in the corpus

• Extracting the most from terrestrial plant-derived n-alkyl lipids and their carbon isotopes from the sedimentary record: A review (2017, methodology): “By adopting more rigorous methods for treating uncertainty (e.g. Polissar and D’Andrea, 2014; Tierney and Tingley, 2014), the community could assign uncertainties and probabilities to our predictions.”