Sampling hyperparameters in hierarchical models: improving on Gibbs for high-dimensional latent fields and large data sets

21 October 2016

Papers citing "Sampling hyperparameters in hierarchical models: improving on Gibbs for high-dimensional latent fields and large data sets"

8 / 8 papers shown

Title
The Recycling Gibbs Sampler for Efficient Learning Luca Martino Victor Elvira Gustau Camps-Valls 52 30 0 21 Nov 2016
Fast sampling in a linear-Gaussian inverse problem C. Fox R. Norton 29 34 0 06 Jul 2015
Accelerated Gibbs sampling of normal distributions using matrix splittings and polynomials C. Fox Albert E. Parker 23 21 0 13 May 2015
On Markov chain Monte Carlo methods for tall data Rémi Bardenet Arnaud Doucet Chris Holmes 66 276 0 11 May 2015
Firefly Monte Carlo: Exact MCMC with Subsets of Data D. Maclaurin Ryan P. Adams 119 179 0 22 Mar 2014
Improved Adaptive Rejection Metropolis Sampling Algorithms Luca Martino Jesse Read D. Luengo 48 86 0 24 May 2012
Adaptive Gibbs samplers and related MCMC methods K. Latuszyñski Gareth O. Roberts Jeffrey S. Rosenthal 74 88 0 31 Jan 2011
The pseudo-marginal approach for efficient Monte Carlo computations Christophe Andrieu Gareth O. Roberts 114 890 0 31 Mar 2009