This article presents methods and results in the application of the Markov Chain Monte Carlo analysis to a problem in missing data. The data used here are The Atlantic Slave Trade Database (tastd), 2010 version, available online. The article begins with background to the Bayesian statistical framework, Markov chains, and Monte Carlo methods, as compared with the frequentist statistical framework, still more widely used in economic (and demographic?) analyses.. It then describes the data, their analysis, the results, and a discussion of their strengths and weaknesses. The results provide a new estimate of the volume of African embarkations and American arrivals in the transatlantic slave trade for the period from 1650 to 1870, by decade, for eleven African regions of embarkation and seven American and European regions of arrival. These results are compared with earlier estimates of Atlantic slave trade volume by frequentist methods.
This is a LaTeX template for preparing EU Future and Emerging Technologies (FET) Open Proposals. It is based on the h2020proposal.cls LaTeX class for writing EU Horizon 2020 Research & Innovation Actions (RIA) proposals.
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Giacomo Indiveri, with contributions from Elisabetta Chicca
Plantilla con el formato para la tesis de licenciatura en ciencias químicas, para las carreras LCQ e INCQ.
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Meg Mitchell and Adam Lopez