This is a project about the impact of palaeo data idiosyncrasies on established and novel time series models.
Carleton, W. (2020) Evaluating Bayesian radiocarbon-dated event-count (REC) models for the study of long-term human and environmental processes. Journal of Quaternary Science. DOI: 10.1002/jqs.3256
Carleton, W., Campbell, D., and Collard, M. 2018. Chronological uncertainty severely complicates the identification of cyclical processes in radiocarbon-dated time-series. Palaeogeography, Palaeoclimatology, Palaeoecology 506:22-29. DOI: 10.1016/j.palaeo.2018.06.002
Carleton, W., Campbell, D., and Collard, M. 2018. Radiocarbon dating uncertainty and the reliability of the PEWMA method of time-series analysis for research on long-term human-environment interaction. PloS ONE 13(1): e0191055. DOI: 10.1371/journal.pone.0191055
Carleton, W., Campbell, D., and Collard, M. 2014. A reassessment of the impact of drought cycles on the Classic Maya. Quaternary Science Reviews 105:151–161. DOI: 10.1016/j.quascirev.2014.09.032