Fast methods for training Gaussian processes on large datasets

Novel Method for Incorporating Model Uncertainties into Gravitational Wave Parameter Estimates

(2014) Christopher J. Moore et al.   PHYSICAL REVIEW LETTERS

Understanding predictive information criteria for Bayesian models

(2013) Andrew Gelman et al.   STATISTICS AND COMPUTING

Efficient Gaussian process regression for large datasets

(2012) A. Banerjee et al.   BIOMETRIKA

Fixed rank kriging for very large spatial data sets

(2010) Noel Cressie et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics

(2009) F. Feroz et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Multimodal nested sampling: an efficient and robust alternative to Markov Chain Monte Carlo methods for astronomical data analyses

(2008) F. Feroz et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY