8 citations · 14 across the 2 of their papers we have counts for
3 papers
Annealed Important Sampling for Models with Latent Variables
M. -N. Tran, C. Strickland, M. K. Pitt +1
This paper is concerned with Bayesian inference when the likelihood is analytically intractable but can be unbiasedly estimated. We propose an annealed importance sampling procedur…
Scalable iterative methods for sampling from massive Gaussian random vectors
Daniel P. Simpson, Ian W. Turner, Christopher M. Strickland +1
Sampling from Gaussian Markov random fields (GMRFs), that is multivariate Gaussian ran- dom vectors that are parameterised by the inverse of their covariance matrix, is a fundament…
A Bayesian changepoint methodology for high dimensional multivariate time series and space-time data: A study of structural change using remotely sensed data
Chris Strickland, Robert Burdett, Robert Denham +2
A Bayesian approach is developed to analyze change points in multivariate time series and space-time data. The methodology is used to assess the impact of extended inundation on th…