Dr Alexander Shestopaloff

Pintado MF, Iacopini M, Rossini L and Shestopaloff A (2025). Bayesian Partial Reduced-Rank Regression. Journal of Computational and Graphical Statistics 
03-01-2025

Miasnikof 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

Duran-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

Zhang 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

Shestopaloff 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

Miasnikof P, Shestopaloff AY, Bravo C and Lawryshyn Y (2023). Statistical Network Similarity. Eleventh International Conference on Complex Networks and their Applications. 
01-01-2023

Chang 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

Miasnikof 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

Albers 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

Miasnikof 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

Miasnikof 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

Miasnikof 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

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

Shestopaloff 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

Miasnikof 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

Miasnikof 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