Sebastian Schmon

Sebastian Schmon

Bayesian Statistics, Computational Statistics, Markov chain Monte Carlo

I am a second year DPhil (PhD) student at the Department of Statistics. My research interest are Bayesian Statistics and stochastic simulation techniques, in particular, the pseudo-marginal Metropolis-Hastings algorithm for intractable distributions.

My supervisors are Arnaud Doucet and George Deligiannidis.



  • Marcus Groß, Ulrich Rendtel, Timo Schmid, Sebastian Schmon, Nikos Tzavidis, Estimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to sensitive georeferenced administrative data protected via measurement error, Journal of the Royal Statistical Society: Series A (Statistics in Society), 2016.


  • Sebastian Schmon, Teil, Georeferenzierung, Zeitschrift für amtliche Statistik, vol. 3, no. 2, 14, 2014.