| Fractional Fokker-Planck equation with tempered -stable waiting times: Langevin picture and computer simulation J Gajda, M Magdziarz Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 82 (1 …, 2010 | 137 | 2010 |
| Codifference as a practical tool to measure interdependence A Wyłomańska, A Chechkin, J Gajda, IM Sokolov Physica A: Statistical Mechanics and its Applications 421, 412-429, 2015 | 69 | 2015 |
| The modified Yule-Walker method for α-stable time series models P Kruczek, A Wyłomańska, M Teuerle, J Gajda Physica A: Statistical Mechanics and its Applications 469, 588-603, 2017 | 49 | 2017 |
| Elucidating distinct ion channel populations on the surface of hippocampal neurons via single-particle tracking recurrence analysis G Sikora, A Wyłomańska, J Gajda, L Solé, EJ Akin, MM Tamkun, D Krapf Physical Review E 96 (6), 062404, 2017 | 37 | 2017 |
| Time-changed Ornstein–Uhlenbeck process J Gajda, A Wyłomańska Journal of Physics A: Mathematical and Theoretical 48 (13), 135004, 2015 | 36 | 2015 |
| Geometric Brownian motion with tempered stable waiting times J Gajda, A Wyłomańska Journal of Statistical Physics 148, 296-305, 2012 | 36 | 2012 |
| Fractional Brownian motion delayed by tempered and inverse tempered stable subordinators A Kumar, J Gajda, A Wyłomańska, R Połoczański Methodology and Computing in Applied Probability 21, 185-202, 2019 | 32 | 2019 |
| Kramers’ escape problem for fractional Klein-Kramers equation with tempered -stable waiting times J Gajda, M Magdziarz Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (2 …, 2011 | 29 | 2011 |
| Comment on fractional Fokker–Planck equation with space and time dependent drift and diffusion M Magdziarz, J Gajda, T Zorawik Journal of Statistical Physics 154, 1241-1250, 2014 | 28 | 2014 |
| ANOMALOUS DYNAMICS OF BLACK-SCHOLES MODEL TIME-CHANGED BY INVERSE SUBORDINATORS. M Magdziarz, J Gajda Acta Physica Polonica B 43 (5), 2012 | 27 | 2012 |
| Fokker–Planck type equations associated with fractional Brownian motion controlled by infinitely divisible processes J Gajda, A Wyłomańska Physica A: Statistical Mechanics and Its Applications 405, 104-113, 2014 | 25 | 2014 |
| Stability and lack of memory of the returns of the Hang Seng index K Burnecki, J Gajda, G Sikora Physica A: Statistical Mechanics and its Applications 390 (18-19), 3136-3146, 2011 | 24 | 2011 |
| Fractional differentiation and its use in machine learning R Walasek, J Gajda International Journal of Advances in Engineering Sciences and Applied …, 2021 | 20 | 2021 |
| Tempered stable Lévy motion driven by stable subordinator J Gajda, A Wyłomańska Physica A: Statistical Mechanics and its Applications 392 (15), 3168-3176, 2013 | 20 | 2013 |
| Enabling machine learning algorithms for credit scoring--explainable artificial intelligence (XAI) methods for clear understanding complex predictive models P Biecek, M Chlebus, J Gajda, A Gosiewska, A Kozak, D Ogonowski, ... arXiv preprint arXiv:2104.06735, 2021 | 19 | 2021 |
| Stable continuous-time autoregressive process driven by stable subordinator A Wyłomańska, J Gajda Physica A: Statistical Mechanics and its Applications 444, 1012-1026, 2016 | 16 | 2016 |
| Tempered Mittag-Leffler Lévy processes A Kumar, NS Upadhye, A Wyłomańska, J Gajda Communications in Statistics-theory and Methods 48 (2), 396-411, 2019 | 15 | 2019 |
| Probabilistic properties of detrended fluctuation analysis for Gaussian processes G Sikora, M Höll, J Gajda, H Kantz, A Chechkin, A Wyłomańska Physical review E 101 (3), 032114, 2020 | 14 | 2020 |
| Modeling of water usage by means of ARFIMA–GARCH processes J Gajda, G Bartnicki, K Burnecki Physica A: Statistical Mechanics and its Applications 512, 644-657, 2018 | 12 | 2018 |
| Subordinated continuous-time AR processes and their application to modeling behavior of mechanical system J Gajda, A Wyłomańska, R Zimroz Physica A: Statistical Mechanics and its Applications 464, 123-137, 2016 | 11 | 2016 |
