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 Large Deviations for Nonlocal Stochastic Neural Fields C Kuehn, MG Riedler
The Journal of Mathematical Neuroscience 4 (1), 1, 2014
49 2014 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 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 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 LinzBestätigte E-Mail-Adresse bei jku.at
