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.
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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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Plantilla original por Marcelo Videa.
We develop 3 term-based models(Naive tf, log tf, and BM25), unigram language model, and Pointwise
Online AdaGrad approach to select top 100 documents of each query. We use MIN((TP+FN),100) as
denominator when calculating AP. We also perform some methods in preprocessing and running stage to
obtain better MAP, as well less running time of the whole program. 2 rounds of scanning are needed in