A new approach for developing continuous age-depth models from dispersed chronologic data: applications to the Miocene Santa Cruz formation, Argentina
Traditional methods (linear regression, spline fitting) of age-depth modeling generate overly optimistic confidence intervals. Originally developed for C, Bayesian models (use of observations independent of chronology) allow the incorporation of prior information about superposition of dated horizon...
Guardado en:
| Autores principales: | Trayler, Robin B., Schmitz, Mark D., Bargo, M. Susana, Cuitiño, José I., Kay, Richard, Kohn, Matthew J., Strömberg, Caroline A. E., Vizcaíno, Sergio Fabián |
|---|---|
| Formato: | Objeto de conferencia Resumen |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/72765 |
| Aporte de: |
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