Lecturer in Statistics
Email: firstname.lastname@example.orgTelephone: 020 7882 3651 Room Number: Room MG - G26
Alex Shestopaloff is a Lecturer in Statistics at the School of Mathematical Sciences, Queen Mary University of London and a Fellow of the Alan Turing Institute. He is interested in statistical computing, in particular, Markov Chain Monte Carlo methods for performing Bayesian inference for complex stochastic models. Before joining QMUL he was a Research Fellow at the Alan Turing Institute and completed his PhD in Statistics at the University of Toronto in 2016.
MTH5129 "Probability and Statistics II" (with Neofytos Rodosthenous)
MTH709 "Bayesian Statistics"
Miasnikof, P., Shestopaloff, A.Y., Bonner, A. J., Lawryshyn, Y. and Pardalos, P. M. (2020) "A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance'', Journal of Complex Networks. Volume 8, Number 3, 1-33.
Shestopaloff, A. Y. and Doucet, A. (2019) "Replica Conditional Sequential Monte Carlo", Proceedings of the 36th International Conference on Machine Learning.
Miasnikof, P., Prokhorenkova, L., Shestopaloff, A.Y., and Raigorodskii, A.M. (2019) "A Statistical Test of Heterogeneous Subgraph Densities To Assess Clusterability", Proceedings of the 13th Learning and Intelligent Optimization Conference.
Shestopaloff, A. Y. and Neal, R. M. (2018) "Sampling latent states for high-dimensional non-linear state space models with the embedded HMM method", Bayesian Analysis, Volume 13, Number 3, 797-822.
Miasnikof, P., Shestopaloff, A., Bonner, A. J. and Lawryshyn, Y. (2018) "A Statistical Performance Analysis of Graph Clustering Algorithms". Proceedings of the 15th International Workshop on Algorithms and Models for the Web Graph.
Miasnikof, P., Giannakeas, V., Gomes, M., Aleksandrowicz, L., Shestopaloff, A. Y., Alam, D., Tollman, S., Samarikhalaj, A. and Jha, P. (2015) "Naive Bayes classifiers for verbal autopsies: comparison to physician-based classification for 21,000 child and adult deaths'', BMC Medicine, 13:286.
Shestopaloff, A. Y. and Neal, R. M. (2014) "Efficient Bayesian inference for stochastic volatility models with ensemble MCMC methods", Technical Report. http://arxiv.org/abs/1412.3013.
Shestopaloff, A. Y. and Neal, R. M. (2013) "On Bayesian inference for the M/G/1 queue with efficient MCMC sampling", Technical Report. http://arxiv.org/abs/1401.5548.
Shestopaloff, A. Y. and Neal, R. M. (2013) "MCMC for non-linear state space models using ensembles of latent sequences", Technical Report. http://arxiv.org/abs/1305.0320.