Construction of optimal tests for symmetry on the torus and their quantitative error bounds. Anastasiou, A., Ley, C. & Loizidou, S. (2025+). In submission.

Non-parametric multiple change-point detection. Anastasiou, A. & Fryzlewicz, P. (2025+). In submission.

Tensor time series change-point detection in cryptocurrency network data. Anastasiou, A. & Cribben, I. (2025+). To appear in the Journal of the Royal Statistical Society, Series A (Statistics in Society).

Data-adaptive structural change-point detection via isolation. Anastasiou, A. & Loizidou, S. (2025). Statistics and Computing, 35:117.

Chemical Change-Point Detection on a Silver Nanoplate Substrate. Lodeiro, A. F., Stavrou, M., Constantinou, M., Michanikou, A., Anastasiou A. & Andreou, C. (2025). Proceedings of the IEEE 25th International Conference on Nanotechnology (NANO).

Wasserstein distance bounds on the normal approximation of empirical autocovariances and cross-covariances under non-stationarity and stationarity. Anastasiou, A., & Kley, T. (2024). Journal of Time Series Analysis, 45, No.3, 361-375.

Gas-Phase Detection of UTI-causing Bacteria using Off-the-Shelf Gas Sensors and Change-Point Detection. Panteli, C., Stylianou, M., Anastasiou, A. & Andreou, C. (2024).  IEEE Sensors Journal, 24, no. 24, 40204-40212.

Contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’. Anastasiou, A., & Cribben, I. (2024). Journal of the Royal Statistical Society Series B: Statistical Methodology, 86, No. 2, 313–314.

Generalized multiple change-point detection in the structure of multivariate, possibly high-dimensional, data sequences. Anastasiou, A., & Papanastasiou, A. (2023). Statistics and Computing, 33:94.

A Multiple change-point detection framework on linguistic characteristics of real versus fake news articles. Petrou, N., Christodoulou, C., Anastasiou, A., Pallis, G. & Dikaiakos, M. (2023). Scientific Reports, 13, Article no: 6086.

Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments. Anastasiou, A., Barp, A., Briol, F-X., Ebner, B., Gaunt, R. E., Ghaderinezhad, F., Gorham, J., Gretton, A., Ley, C., Liu, Q., Mackey, L., Oates, C. J., Reinert, G. & Swan, Y. (2023). Statistical Science, 38, No.1, 120-139.

The impact of government actions and risk perception on the promotion of self-protective behaviors during the COVID-19 pandemic. Alvarez-Galvez, J., Anastasiou, A., Lamnisos, D., Constantinou, M., Nicolaou, C., Papacostas, S., Vasiliou, V. S., McHugh, L., Lubenko, J., Ruiz, F. J., Paez-Blarrina, M., Montesinos, F., Valdivia-Salas, S., Merwin, R. M., Karekla, M., Gloster, A. T. & Kassianos, A. (2023).  PLoS ONE, 18, No.4, e0284433.

Rapid Detection of Bacterial Infection Using Gas Phase Time Series Analysis. Panteli, C., Stylianou, M., Anastasiou, A.  Andreou, C. (2023). Proceedings of the IEEE SENSORS 2023 Conference.

Cross-covariance isolate detect: a new change-point method for estimating dynamic functional connectivity. Anastasiou, A., Cribben, I. & Fryzlewicz, P. (2022). Medical Image Analysis, 75.

Detecting multiple generalized change-points by isolating single ones. Anastasiou, A. & Fryzlewicz, P. (2022). Metrika, 85, 141-174.

Wasserstein distance error bounds for the multivariate normal approximation of the maximum likelihood estimator. Anastasiou, A. & Gaunt, R. E. (2021). Electronic Journal of Statistics, 15, No.2, 5758-5810.

Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus. Agapiou, S., Anastasiou, A., Baxevani, A., Nicolaides, C., Hadjigeorgiou, G., Christofides, T., Constantinou, E., Nikolopoulos, G. & Fokianos, K. (2021). Scientific Reports, 11, Article no: 7342.

Bounds for the asymptotic distribution of the likelihood ratio. Anastasiou, A. & Reinert, G. (2020). Annals of Applied Probability, 30, No. 2, 608-643.

Multivariate normal approximation of the maximum likelihood estimator via the delta method. Anastasiou, A. & Gaunt, R. E. (2020). Brazilian Journal of Probability and Statistics, 34, 136-149.

Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT. Anastasiou, A. & Balasubramanian, K. & Erdogdu, M. (2019). Proceedings of the Conference on Learning Theory (COLT) 2019.

Assessing the multivariate normal approximation of the maximum likelihood estimator from high-dimensional, heterogeneous data. Anastasiou, A. (2018). Electronic Journal of Statistics, 12, No. 2, 3794-3828.

Bounds for the asymptotic normality of the maximum likelihood estimator using the Delta method. Anastasiou, A. & Ley, C. (2017).  ALEA, Lat. Am. J. Probab. Math. Stat. 14, 153-171.

Bounds for the normal approximation of the maximum likelihood estimator from m-dependent random variables. Anastasiou, A. (2017). Statistics & Probability Letters 129, 171-181.

Bounds for the normal approximation of the maximum likelihood estimator. Anastasiou, A. & Reinert, G. (2017). Bernoulli 23, 191-218.