Sebastian Schmon

Sebastian Schmon

Probabilistic inference, Computational Statistics, Markov chain Monte Carlo, High-Dimensional Statistics

I am a DPhil 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.



  • M. Groß , U. Rendtel , T. Schmid , S. Schmon , N. 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.


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