Select Publications
Book Chapters
2021, 'Decoupling Sparsity and Smoothness in Dirichlet Belief Networks', in Machine Learning and Knowledge Discovery in Databases. Research Track, pp. 148 - 163, http://dx.doi.org/10.1007/978-3-030-86520-7_10
,2018, 'High-Dimensional ABC', in Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, pp. 211 - 241, http://dx.doi.org/10.1201/9781315117195-8
,2018, 'Overview of ABC', in Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, pp. 3 - 54, http://dx.doi.org/10.1201/9781315117195-1
,2018, 'ABC Samplers', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 87 - 123, http://dx.doi.org/10.1201/9781315117195-4
,2018, 'High-dimensional approximate Bayesian computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 211 - 242
,2018, 'Inferences on the acquisition of multidrug resistance in Mycobacterium tuberculosis using molecular epidemiological data', in Sisson S; Fan Y; Beaumont M (ed.), Approximate Bayesian Computation Likelihood-Free Methods for Complex Models, Chapman & Hall
,2018, 'Overview of Approximate Bayesian Computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 3 - 54, https://www.amazon.com/Handbook-Approximate-Computation-Handbooks-Statistical/dp/1439881502
,2016, 'Modelling extremes using approximate Bayesian computation', in Dey D; Yan J (ed.), Extreme Value Modeling and Risk Analysis Methods and Applications, CRC Press, pp. 281 - 306
,2011, 'Likelihood-free MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, Taylor and Francis Group, USA, pp. 313 - 333
,2011, 'Reversible Jump MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, Taylor and Francis Group, USA, pp. 67 - 87
,