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Case Studies in Archaeological Predictive Modelling
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The suite of applicable statistical techniques has been extended to Bayesian statistics, Dempster-Shafer modeling, and resampling.
“The suite of applicable statistical techniques has, amongst others, been extended to Bayesian statistics (Millard 2005;Finke et al. 2008;van Leusen et al. 2009), Dempster-Shafer modeling (Ejstrud 2003(Ejstrud , 2005;;van Leusen et al. 2009), and resampling (Verhagen 2007b).”
From Integrating Archaeological Theory and Predictive Modeling: a Live Report from the Scene (2012) · cites this paper as Verhagen 2007b
The citation to Verhagen (2007b) is attached specifically to resampling. The supplied passage about the thesis (section and page unavailable) mentions Bayesian statistics but not resampling; searches for resampling and related terms found no passage addressing its use in predictive modelling. (LLM, conf=0.72)
Experimental — accuracy not yet measuredStandard methods for survey data filtering do not exist, even though the statistical basis for it is well developed and can be relatively easily applied to predictive modeling.
“However, standard methods for survey data”
From Integrating Archaeological Theory and Predictive Modeling: a Live Report from the Scene (2012) · cites this paper as Verhagen 2007b
The available passage (section and page not specified) says the thesis covers survey bias in data used for predictive modelling. It does not say whether standard survey-data filtering methods exist or whether their statistical basis is well developed and easily applied. Searches for those terms and for survey-bias correction found no passage addressing either point. (LLM, conf=0.72)
Experimental — accuracy not yet measuredResampling offers the potential for obtaining statistically more reliable measures of predictive model quality with relatively small and non-optimal data sets in archaeology.
“For a science, like archaeology, that has to deal with difficulties in obtaining decent-sized representative data sets in many cases, it offers the potential of obtaining statistically more reliable measures of predictive model quality with relatively small and non-optimal data sets (Verhagen 2007b).”
From Integrating Archaeological Theory and Predictive Modeling: a Live Report from the Scene (2012) · cites this paper as Verhagen 2007b
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Integrating Archaeological Theory and Predictive Modeling: a Live Report from the Scene
Verhagen, P., & Whitley, T. G. (2012) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-011-9102-7 · Cited by 190
Self-citationWang, J., Soroush, M., Maziar, S., & Khazraee, E. (2026) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-025-09733-5 · Cited by 3
Metadata
- Authors
- Verhagen, P.
- Publisher
- Amsterdam University Press
- Published
- 2007
- Cited by
- 74
- References
- 0
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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