I am a Research Fellow, working with Dr. Richard Everitt on likelihood-free inference problems, using ABC techniques.
I received my PhD from the University of Warwick in 2021. Before that, I finished my B.Sc. in Mathematics at the University of Athens in 2015 and I received a MASt from the University of Cambridge in 2016.
I am generally interested in Markov Chain Monte Carlo (MCMC) techniques and their applications in Bayesian Statistics. Currently, I am working on using gradient methods to generate more efficient Approximate Bayesian Computation (ABC) algorithms. I am also working on model misspecification problems. At the same time, I am very interested in using Piecewise Deterministic Markov Processes for MCMC.
G. Vasdekis and G. O. Roberts, "Speed Up Zig-Zag", 2021. Under revision. [arxiv]
J. Watson, R. Boyd, R. Dutta, G. Vasdekis, N. Walker, S. Roy, R. Everitt, K. Hyder, R. Sibly, "Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass", 2022. To appear in Ecological Modelling.
G. Vasdekis and G. O. Roberts, "A Note on the Polynomial Ergodicity of the One-Dimensional Zig-Zag process", 2022. To appear in Journal of Applied Probability [arxiv]
Office: MSB 4.08 . Email: Giorgos.Vasdekis.email@example.com