| An exact stochastic hybrid model of excitable membranes including spatio-temporal evolution E Buckwar, MG Riedler Journal of mathematical biology 63 (6), 1051-1093, 2011 | 101 | 2011 |
| Limit theorems for infinite-dimensional piecewise deterministic Markov processes. Applications to stochastic excitable membrane models MG Riedler, M Thieullen, G Wainrib Electronic Journal of Probability 17, 1-48, 2012 | 48 | 2012 |
| Large Deviations for Nonlocal Stochastic Neural Fields C Kuehn, MG Riedler The Journal of Mathematical Neuroscience 4 (1), 1, 2014 | 45 | 2014 |
| Laws of large numbers and langevin approximations for stochastic neural field equations MG Riedler, E Buckwar The Journal of Mathematical Neuroscience 3 (1), 1-54, 2013 | 33 | 2013 |
| Almost sure convergence of numerical approximations for Piecewise Deterministic Markov Processes MG Riedler Journal of Computational and Applied Mathematics 239, 50-71, 2013 | 33 | 2013 |
| Runge–Kutta methods for jump–diffusion differential equations E Buckwar, MG Riedler Journal of Computational and Applied Mathematics 236 (6), 1155-1182, 2011 | 33 | 2011 |
| THE NUMERICAL STABILITY OF STOCHASTIC ORDINARY DIFFERENTIAL EQUATIONS WITH ADDITIVE NOISE E Buckwar, MG Riedler, PE Kloeden Stochastics and Dynamics 11 (02n03), 265-281, 2011 | 21 | 2011 |
| Spatio-temporal hybrid (PDMP) models: Central limit theorem and Langevin approximation for global fluctuations. Application to electrophysiology MG RIEDLER, THIEULLEN Bernoulli 21 (2), 647 - 696, 2015 | 6 | 2015 |
| Strong Error Analysis of the -Method for Stochastic Hybrid Systems MG Riedler, G Notarangelo arXiv preprint arXiv:1310.0392, 2013 | 2 | 2013 |
| Approximation of stochastic hybrid systems M Riedler Oberwolfach Reports, Report, 2011 | 2 | 2011 |
| Martingale und Brownsche Bewegung MG Riedler | | 2012 |
Evelyn BuckwarProfessor for Stochastics, Johannes Kepler University LinzVerified email at jku.at
