Relationships between calibrated ages and depth in stratigraphical sequences: an estimation procedure by mixed-effect regression

By E. Heegaard, Harry John Betteley Birks, R. Telford. 2005

297 citations recorded by the source corpus.

Subfields: Atmospheric Science, Earth-Surface Processes, Paleontology

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. C. Ramsey
2. D. Scholz
3. D. Hoffmann
4. M. Blaauw
5. E. Heegaard
6. Manfred Mudelsee
7. Kristín Björg Ólafsdóttir
8. Michael Schulz

In Earth-Surface Processes

1. C. Ramsey
2. D. Scholz
3. D. Hoffmann
4. M. Blaauw
5. E. Heegaard
6. Manfred Mudelsee
7. Q. Hua

In Paleontology

1. M. Blaauw
2. C. Ramsey
3. D. Scholz
4. D. Hoffmann
5. E. Heegaard
6. Manfred Mudelsee
7. Sharen Lee
8. D. Fuller

Citations in the corpus

• Trend analysis of climate time series: A review of methods (2019, background): “…Bennett (1994); Agrinier et al. (1999); Bennett and Fuller (2002); Buck and Millard (2004); Drysdale et al. (2004); Blaauw and Christen (2005); Heegaard et al. (2005); Spötl et al. (2006); Haslett and Parnell (2008); Blaauw (2010); Klauenberg et al. (2011); Scholz and Hoffmann (2011); Blaauw…”
• Estimation of Age-Depth Relationships (2012, background): “In very rare cases, there may be a relationship between age and the between-object variance, perhaps because of increasing displacements with increasing depth (Heegaard et al. 2005).”
• StalAge – An algorithm designed for construction of speleothem age models (2011, methodology): “Heegaard et al. (2005) presented a mixed-effect regression model for 14C-age modelling, which combines the uncertainty of the individual calibrated ages (within-object variance) with an estimation of the variability of the calibrated age distribution as a whole (betweenobject variance).”
• Methods and code for 'classical' age-modelling of radiocarbon sequences. (2010, methodology): “Heegaard et al. (2005) applied mixed-effects modelling, but assumed that calibrated 14C ages can be approximated by a simpler statistical distribution (e.g., Gaussian).”
• BAYESIAN ANALYSIS OF RADIOCARBON DATES (2009, methodology): “Other methods (sometimes not Bayesian) allow for non-linear deposition rates (Christen et al. 1995; Walker et al. 2003; Telford et al. 2004; Heegaard et al. 2005).”