About the Event
Abstract The songwriting duo of John Lennon and Paul McCartney, the two founding members of the Beatles, have composed some of the most popular and memorable songs of the last century. Despite having authored songs under the joint credit agreement of Lennon-McCartney, it is well-documented that most of their songs or portions of songs were primarily written by exactly one of the two. Some Lennon-McCartney songs are actually of disputed authorship. For Lennon-McCartney songs of known and unknown authorship written and recorded over the period 1962-66, we extracted musical features from each
song or song portion. These features consist of the occurrence of melodic notes, chords, melodic note pairs, chord change pairs, and four-note melody contours. We developed a prediction model based on variable screening followed by logistic regression with elastic net regularization. We applied our model to the prediction of songs and song portions with unknown or disputed authorship.
Bio Dr. Glickman, a Fellow of the American Statistical Association, is Senior Lecturer on Statistics at the Harvard University Department of Statistics, and Senior Statistician at the Center for Healthcare Organization and Implementation Research, a Veterans Administration Center of Innovation. Prior to his joining Harvard, he was Research Professor of Health Policy and Management at the Boston University School of Public Health. His research interests are primarily in the areas of statistical models for rating competitors in games and sports, and in statistical methods applied to problems in health services research. He serves as an elected member of the American Statistical Association’s Board of Directors as representative of the Council of Sections Governing Board with a term expiring in 2021. Dr. Glickman received his B.A. in Statistics at Princeton University, and M.A. and Ph.D. in Statistics at Harvard University.
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