Anastassia Baxevani

Applied Probability and Statistics, Stochastic spatio-temporal models, Statistical Inference, Com- putationally efficient methods for big data in geosciences, Applications to Environmetrics, Models for stochastic dynamics
1) Hristopulos D. T., Baxevani, A. ‘Effective Probability Distributions for Spatially Dependent Processes .’ Stochastic Environmental Research and Risk Assessment, (to appear).
2) Baxevani A., Wilson R. ‘Prediction of Catastrophes in Space over Time.’ Extremes, 21, 601-628 (2018).
3) Baxevani A., Lenzi A. ‘Short-term spatio-temporal wind power prediction using a censored Gaussian field.’ Stochastic Environmental Research and Risk Assessment, 32 ( 4) 932- 948 (2018).
4) Baxevani A., Podgorski K. ‘Random spectral measure for non-Gaussian moving averages.’ Communications in Statistics: Theory and Methods 47 (2), 448-462 (2018).
5) Baxevani A., Lennartsson J. ‘A spatio-temporal weather generator based on a censored latent Gaussian field.’ Water Resources Research, 51 : 4338-4358 (2015).
6) Baxevani A., Podg ́orski K., Wegener J. ‘Sample path asymmetries in non-Gaussian random processes.’ Scandinavian Journal of Statistics, 41:4, 1102-1123 (2014).
7) Baxevani, A., Podgorski, K., Rychlik, I., 'Dynamically evolving Gaussian spatial fields.' Extremes, 14, pp. 223-251 (2011).
8) Ailliot, P., Baxevani, A., Cuzol, A., Monbet V. and Raillard, N., 'Space-timemodels for moving fields with an application to significant wave height fields.' Environmetrics, 22: 3, 354-369 (2011).
8) Baxevani, A. and Podgorski K. 'Lamperti transform of fractional Brownian motion', Acta Physica Polonica B, No. 5, Vol. 40, pp. 1395-1435 (2009).
9) Baxevani, A., Caires, S., Rychlik, I. 'Spatio-temporal statistical modellingof Hs' Environmetrics, 20: 14-31 (2009).
10) Lennartsson, J., Baxevani, A., Chen, D. 'Modelling precipitation in Sweden using multiple step markov chains and a composite model', Journal of Hydrology, 363, 1-4, 42-59 (2008).