All those with an interest in statistics are invited to join the Oxford local chapter of the Royal Statistical Society for an afternoon talk by Andris Abakuks
Royal Statistical Society - oxford local chapter
The Oxford local chapter of the Royal Statistical Society, hosted by the University of Oxford, brings together anyone with an interest in statistics in Oxfordshire and the surrounding areas. We organise an annual programme of free events and lectures on statistical topics.
Academics and non-academics are all welcome to join this local RSS chapter. For advance notice of events, join our mailing list by emailing firstname.lastname@example.org. We are always interested in new ideas for events and lectures, so do get in touch!
Speaker: Andris Abakuks
Andris Abakuks is a Visiting Research Fellow at the Department of Economics, Mathematics and Statistics at Birkbeck, University of London. His research focuses on the application of probability and statistics to problems in theology and New Testament studies. In 2014, he published The Synoptic Problem and Statistics, which presents a statistical approach using hidden Markov models to determine the relationships between the Gospels of Matthew, Mark, and Luke.
The synoptic problem is concerned with hypotheses about the relationships between the synoptic gospels of Matthew, Mark and Luke. The use of statistics in the study of the synoptic problem goes back to the end of the nineteenth century, but the study of the statistics of verbal agreements between Matthew, Mark and Luke began with the work of Honoré (1968). Apart from the well-known two-source model, where Matthew and Luke have Mark and a hypothetical Q as sources, there are many models of the relationships between the synoptic gospels that do not require the existence of a Q source.
In the work presented here, under the assumption of Markan priority, the text of Mark is examined word by word to record if the word is retained unchanged by Matthew and Luke, respectively. This results in a pair of binary series, series of 0s and 1s, where a 1 is recorded if the word has been retained and a 0 if not.
The main focus here is on the question of whether Matthew and Luke were independent in their use of Mark, as is assumed in the standard two-source model. The statistical technique that uses hidden Markov models is outlined and some of its results presented. One of the products of the analysis is the identification of passages where the evidence for dependence between Matthew and Luke in their use of Mark appears to be strongest. These passages may then be examined to see precisely how the apparent dependence manifests itself in the text and to draw conclusions.