Rianne de Heide | Bayesian regression with sparse priors
- https://wsc.project.cwi.nl/ml-reading-group/events/rianne-de-heide-something-about-bayesian-regression-with-sparse-priors
- Rianne de Heide | Bayesian regression with sparse priors
- 2016-07-06T10:00:00+02:00
- 2016-07-06T11:55:00+02:00
- When Jul 06, 2016 from 10:00 AM to 11:55 AM (Europe/Amsterdam / UTC200)
- Where L236
- Add event to calendar iCal
I intend to cover the basics of Bayesian Ridge regression, the lasso, and the horseshoe prior; and compare their behaviour on sparse data.
Papers:
Carvalho, Polson, Scott - The Horseshoe Estimator for Sparse Signals
faculty.mccombs.utexas.edu/carlos.carvalho/CarvalhoPolsonScott2010.pdf
Park, Casella - The Bayesian Lasso
http://www.stat.ufl.edu/archived/casella/Papers/Lasso.pdf
Damien, Wakefield, Walker - Gibbs sampling for Bayesian non-conjugate and hierarchical models by using auxiliary variables
http://onlinelibrary.wiley.com/doi/10.1111/1467-9868.00179/epdf
Castillo, Schmidt-Hieber, van der Vaart - Bayesian linear regression with sparse priors
https://projecteuclid.org/download/pdfview_1/euclid.aos/1438606851