INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial
Prediction in log-Gaussian Cox Processes

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INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes

8 February 2012

Benjamin M. Taylor

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Papers citing "INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes"

11 / 11 papers shown

Title
Spatial meshing for general Bayesian multivariate models M. Peruzzi David B. Dunson 113 7 0 25 Jan 2022
A Statistical Introduction to Template Model Builder: A Flexible Tool for Spatial Modeling Aaron Osgood-Zimmerman J. Wakefield 62 5 0 17 Mar 2021
Bayesian Computation for Log-Gaussian Cox Processes--A Comparative Analysis of Methods Ming Teng F. Nathoo T. Johnson 57 38 0 03 Jan 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 93 202 0 21 Nov 2016
Adaptive Multiple Importance Sampling for Gaussian Processes Xiaoyu Xiong Václav Smídl Maurizio Filippone 47 6 0 05 Aug 2015
Palm distributions for log Gaussian Cox processes Jean‐François Coeurjolly Jesper Møller R. Waagepetersen 62 15 0 15 Jun 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) Maurizio Filippone Raphael Engler 115 31 0 22 Jan 2015
Pseudo-Marginal Bayesian Inference for Gaussian Processes Maurizio Filippone Mark Girolami 113 64 0 02 Oct 2013
On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods A. Lyne Mark Girolami Yves F. Atchadé Heiko Strathmann Daniel P. Simpson 179 135 0 17 Jun 2013
Sparse Approximate Inference for Spatio-Temporal Point Process Models Botond Cseke A. Mangion Tom Heskes G. Sanguinetti 45 2 0 17 May 2013
lgcp An R Package for Inference with Spatio-Temporal Log-Gaussian Cox Processes Benjamin M. Taylor Tilman M. Davies B. Rowlingson P. Diggle 86 42 0 27 Oct 2011