Flexible paleoclimate age-depth models using an autoregressive gamma process
Maarten Blaauw, J. Andrés Christen
Radiocarbon dating is routinely used in paleoecology to build chronologies of lake and peat sediments, aiming at inferring a model that would relate the sediment depth with its age. We present a new approach for chronology building (called "Bacon") that has received enthusiastic attention by paleoecologists. Our methodology is based on controlling core accumulation rates using a gamma autoregressive semiparametric model with an arbitrary number of subdivisions along the sediment. Using prior knowledge about accumulation rates is crucial and informative priors are routinely used. Since many sediment cores are currently analyzed, using different data sets and prior distributions, a robust (adaptive) MCMC is very useful. We use the t-walk (Christen and Fox, 2010), a self adjusting, robust MCMC sampling algorithm, that works acceptably well in many situations. Outliers are also addressed using a recent approach that considers a Student-t model for radiocarbon data. Two examples are presented here, that of a peat core and a core from a lake, and our results are compared with other approaches.
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference | 2000 | 1,966 |
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| Bayesian Methods and Mixture Models | Computer Science |
| Soil Geostatistics and Mapping | Environmental Science |
| Image Processing and 3D Reconstruction | Computer Science |
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