Book Image

Learning Bayesian Models with R

By : Hari Manassery Koduvely
Book Image

Learning Bayesian Models with R

By: Hari Manassery Koduvely

Overview of this book

Table of Contents (16 chapters)
Learning Bayesian Models with R
About the Author
About the Reviewers


  1. Almeida T.A., Gómez Hidalgo J.M., and Yamakami A. "Contributions to the Study of SMS Spam Filtering: New Collection and Results". In: 2011 ACM Symposium on Document Engineering (DOCENG'11). Mountain View, CA, USA. 2011

  2. MacKay D.J.C. "The Evidence Framework Applied to Classification Networks". Neural Computation 4(5)

  3. "Bayesian Inference for Logistic Models Using Pólya-Gamma Latent Variables". Journal of the American Statistical Association. Volume 108, Issue 504, Page 1339. 2013

  4. Costello D.A.E., Little M.A., McSharry P.E., Moroz I.M., and Roberts S.J. "Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection". BioMedical Engineering OnLine. 2007

  5. Filannino M. "DBWorld e-mail Classification Using a Very Small Corpus". Project of Machine Learning Course. University of Manchester. 2011