Dr Alexander Shestopaloff

Alexander Shestopaloff

Senior Lecturer in Statistics

School of Mathematical Sciences
Queen Mary University of London

Publications

Relevant PublicationPublications of specific relevance to the Centre for Probability, Statistics and Data Science

2024

bullet iconMiasnikof P, Shestopaloff A, Bravo C and Lawryshyn Y (2024). Empirical study of graph spectra and their limitations. Thirteenth International Conference on Complex Networks and their Applications
20-02-2024
bullet iconDuran-Martin G, Altamirano M, Shestopaloff AY, Sánchez-Betancourt L, Knoblauch J, Jones M, Briol FX and Murphy K (2024). Outlier-robust Kalman Filtering through Generalised Bayes. 
01-01-2024

2023

bullet iconZhang Y, Cucuringu M, Shestopaloff A and Zohren S (2023). Dynamic Time Warping for Lead-Lag Relationship Detection in Lagged Multi-Factor Models. 4th ACM International Conference on AI in Finance
25-11-2023
bullet iconShestopaloff A, Miasnikof P and Raigorodskii A (2023). Statistical power, accuracy, reproducibility and robustness of a graph clusterability test. International Journal of Data Science and Analytics, Springer 
16-04-2023
bullet iconMiasnikof P, Shestopaloff AY, Bravo C and Lawryshyn Y (2023). Statistical Network Similarity. Eleventh International Conference on Complex Networks and their Applications
01-01-2023
bullet iconChang PG, Durán-Martín G, Shestopaloff A, Jones M and Murphy K (2023). LOW-RANK EXTENDED KALMAN FILTERING FOR ONLINE LEARNING OF NEURAL NETWORKS FROM STREAMING DATA. 
01-01-2023

2022

bullet iconMiasnikof P, Shestopaloff AY, Pitsoulis L and Ponomarenko A (2022). An empirical comparison of connectivity-based distances on a graph and their computational scalability. Journal of Complex Networks vol. 10 (1) 
16-02-2022

2021

bullet iconAlbers J, Cucuringu M, Howison S and Shestopaloff AY (2021). Fragmentation, Price Formation and Cross-Impact in Bitcoin Markets. Applied Mathematical Finance, Taylor & Francis vol. 28 (5), 395-448.  
03-09-2021

2020

bullet iconMiasnikof P, Shestopaloff A, Pitsoulis L, Ponomarenko A and Lawryshyn Y (2020). Distances on a Graph. Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020
20-12-2020
bullet iconMiasnikof P, Shestopaloff AY, Bonner AJ, Lawryshyn Y and Pardalos PM (2020). A density-based statistical analysis of graph clustering algorithm performance. Journal of Complex Networks, Oxford University Press (OUP) vol. 8 (3) 
01-06-2020
bullet iconMiasnikof P, Prokhorenkova L, Shestopaloff AY and Raigorodskii A (2020). A Statistical Test of Heterogeneous Subgraph Densities to Assess Clusterability. International Conference on Learning and Intelligent Optimization
22-01-2020

2019

bullet iconShestopaloff AY and Doucet A (2019). Replica conditional sequential monte carlo. Proceedings of the 36th International Conference on Machine Learning
13-05-2019

2018

bullet iconShestopaloff AY and Neal RM (2018). Sampling latent states for high-dimensional non-linear state space models with the embedded HMM method. Bayesian Analysis vol. 13 (3), 797-822.  
01-09-2018
bullet iconMiasnikof P, Shestopaloff AY, Bonner AJ and Lawryshyn Y (2018). A statistical performance analysis of graph clustering algorithms. International Workshop on Algorithms and Models for the Web-Graph
30-05-2018

2015

bullet iconMiasnikof P, Giannakeas V, Gomes M, Aleksandrowicz L, Shestopaloff AY, 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 vol. 13 (1) 
25-11-2015

Grants

solid heart iconGrants of specific relevance to the Centre for Probability, Statistics and Data Science
solid heart iconResearch Fellowship: Cross-sectional forecasting of high-dimensional time series
Alexander Shestopaloff
£112,358 Delphia Technologies Inc (03-01-2023 - 02-07-2026)
solid heart iconInnovate UK KTP - Wise
Alexander Shestopaloff and Gregory Slabaugh
£219,928 Innovate UK (01-11-2022 - 30-11-2025)