After completing Msc (2008) and PhD (2011) both in statistics at University of Kent, Canterbury, I started my first postdoc at University of Bristol in 2011, continuing my PhD research on Bayesian nonparametrics under a self-directed research program. In November 2012, I joined Lancaster university, undertaking research on simulation-based statistical inference with applications to epidemic models. In April 2015, I moved to department of vet medicine, university of Cambridge as a research associate in Statistical Epidemiology and Genomics.
Subject groups/Research projects
My current work is to improve the understanding of the transmission and evolution of influenza viruses in pigs. I also do research in developing efficient MCMC/ABC algorithms and applying them to epidemic models. Apart from these, I am also interested in Bayesian consistency on nonparametric regression models, rates of convergence of posterior distribution and Bernshtein-von Mises Phenomenon.
Xiang, F. and Walker, S. G. (2013). Bayesian consistency for regression models, Journal of Statistical Planning and Inference 143, 468–478.
Xiang, F. and Walker, S. G. (2014). Sup–Hellinger Consistency for Piecewise Fixed Density Regression, To appear: Communications in Statistics - Theory and Methods.
Xiang, F. and Neal, P.. (2014) Efficient MCMC for temporal epidemics via parameter reduction, Computational Statistics and Data Analysis 80, 240–250.