Description
Taylor & Francis Ltd The Synoptic Problem And Statistics 2014 Edition by Andris Abakuks
See How to Use Statistics for New Testament InterpretationThe Synoptic Problem and Statistics lays the foundations for a new area of interdisciplinary research that uses statistical techniques to investigate the synoptic problem in New Testament studies, which concerns the relationships between the Gospels of Matthew, Mark, and Luke. There are potential applications of the techniques to study other sets of similar documents. Explore Hidden Markov Models for Textual Data The book provides an introductory account of the synoptic problem and relevant theories, literature, and research at a level suitable for academic and professional statisticians. For those with no special interest in biblical studies or textual analysis, the book presents core statistical material on the use of hidden Markov models to analyze binary time series. Biblical scholars interested in the synoptic problem or in the use of statistical methods for textual analysis can omit the more technical/mathematical aspects of the book. The binary time series data sets and R code used are available on the author's website. Introduction to the gospel texts and the synoptic problem The New Testament gospels Manuscripts, critical editions and synopses The synoptic problem and some proposed solutions Statistics, verbal agreements, and sources of dataOutline of this book The triple-link model Introduction The data Probabilistic notation and assumptions A probabilistic analysis A statistical analysis Double-link models Matthew's and Luke's use of Mark: a logistic regression approachIntroductionThe data Models for the univariate series Models for the bivariate series Hidden Markov models for binary time series Introduction and motivation Description of a hidden Markov model (HMM) The likelihood function Methods for computationChoosing an HMM Decoding Matthew's and Luke's use of Mark: hidden Markov models Introduction Fitting hidden Markov models Decoding the text of Mark for the fitted HMMs Mark's and Luke's use of Matthew Introduction The data Logistic regression Hidden Markov models Decoding The minor agreements Examples of synoptic parallels Introduction The Healing of a Leper The Healing of the Paralytic The Feeding of the Five Thousand The Great Commandment About David's Son Jesus Mocked and Peter's Triple Denial Comments on further pericopes The Rich Young Man The Healing of Bartimaeus Final conclusions Summary Directions for future work Appendix: R code for hidden Markov models BibliographyAuthor Index Subject Index