Model Selection in Historical Research Using Approximate Bayesian Computation

Computational models are increasingly being used to study historical dynamics. This new trend, which could be named Model-Based History, makes use of recently published datasets and innovative quantitative methods to improve our understanding of past societies based on their written sources. The ext...

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Veröffentlicht in:	PloS one Jg. 11; H. 1; S. e0146491
1. Verfasser:	Rubio-Campillo, Xavier
Format:	Journal Article Verlag
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 05.01.2016 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Archaeology Bayes Theorem Bayesian analysis Bayesian Computation Biology Case studies Computation Computational Biology - methods Computational Biology - statistics & numerical data Computer applications Computer Simulation Enginyeria mecànica Estadística bayesiana Evaluation Evolution Fatigue Formulations Historians Historical analysis Historical dynamics Historical research Història Humans Hypotheses Markov analysis Mathematical models Metodologia Model-Based History Models, Theoretical Parameter estimation Post traumatic stress disorder Quantitative psychology Reproducibility of Results Social behavior Studies Warfare Warfare and Armed Conflicts - statistics & numerical data Wounds and Injuries Àrees temàtiques de la UPC United States
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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