A Bayesian Model for Prelaunch Sales Forecasting of Recorded Music

@article{Lee2003ABM,
  title={A Bayesian Model for Prelaunch Sales Forecasting of Recorded Music},
  author={Jonathan Lee and Peter Boatwright and Wagner A. Kamakura},
  journal={Management Science},
  year={2003},
  volume={49},
  pages={179-196}
}
  • Jonathan Lee, Peter Boatwright, Wagner A. Kamakura
  • Published in Management Science 2003
  • Economics, Computer Science
  • In a situation where several hundred new music albums are released each month, producing sales forecasts in a reliable and consistent manner is a rather difficult and cumbersome task. The purpose of this study is to obtain sales forecasts for a new album before it is introduced. We develop a hierarchical Bayesian model based on a logistic diffusion process. It allows for the generalization of various adoption patterns out of discrete data and can be applied in a situation where the eventual… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 35 CITATIONS

    How Smartphone Apps Can Help Predicting Music Sales

    VIEW 15 EXCERPTS
    CITES METHODS & BACKGROUND
    HIGHLY INFLUENCED

    Endogenous bank risk and efficiency

    VIEW 1 EXCERPT
    CITES RESULTS

    References

    Publications referenced by this paper.