Publications [#258733] of Surya T. Tokdar
Papers Published
- Tokdar, ST. "Towards a faster implementation of density estimation with logistic gaussian process priors." Journal of Computational and Graphical Statistics 16.3 (2007): 633-655. [doi]
(last updated on 2026/01/14)Abstract:
A novel method is proposed to compute the Bayes estimate for a logistic Gaussian process prior for density estimation. The method gains speed by drawing samples from the posterior of a finite-dimensional surrogate prior, which is obtained by imputation of the underlying Gaussian process. We establish that imputation results in quite accurate computation. Simulation studies show that accuracy and high speed can be combined. This fact, along with known flexibility of the logistic Gaussian priors for modeling smoothness and recent results on their large support, makes these priors and the resulting density estimate very attractive. © 2007 American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America.