Susanne Ditlevsen
Professor
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
- Published
Parameter estimation from observations of first-passage times of the Ornstein-Uhlenbeck and the Feller process
Ditlevsen, Susanne & Ditlevsen, O. D., 2007, Computational stochastic mechanics. Deodatis, G. & Spanos, P. D. (eds.). <Forlag uden navn>, p. 235-245Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Parameter estimation from observations of first-passage times of the Ornstein-Uhlenbeck process and the Feller process.
Ditlevsen, Susanne & Ditlevsen, O. D., 2008, In: Probabilistic Engineering Mechanics. 23, 2-3, p. 170-179 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Parameter estimation in a stochastic model of the tubuloglomerular feedback mechanism in a rat nephron.
Ditlevsen, Susanne, Yip, K. & von Holstein-Rathlou, Niels-Henrik, 2005, In: Mathematical Biosciences. 194, 1, p. 49-69 20 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Parameter estimation in neuronal stochastic differential equation models from intracellular recordings of membrane potentials in single neurons: a Review
Ditlevsen, Susanne & Samson, A., 2016, In: Journal de la Société Française de Statistique. 157, 1Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Parameter estimation of feedback gain in a stochastic model of renal hemodynamics: differences between spontaneously hypertensive and Sprague-Dawley rats.
Ditlevsen, Susanne, Yip, K., Marsh, D. J. & von Holstein-Rathlou, Niels-Henrik, 2006, In: American Journal of Physiology - Renal Physiology. 292, 2, p. F607-16Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Parameter inference from hitting times for perturbed Brownian motion
Tamborrino, M., Ditlevsen, Susanne & Lansky, P., 2015, In: Lifetime Data Analysis. 21, 3, p. 331-352Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Parameters of stochastic diffusion processes estimated from observations of first-hitting times: Application to the leaky integrate-and-fire neuronal model
Ditlevsen, Susanne & Lansky, P., 2007, In: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 76, 041906, 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Parameters of the diffusion leaky integrate-and-fire neuronal model for a slowly fluctuating signal
Picchini, U., Ditlevsen, Susanne, De Gaetano, A. & Lansky, P., 2008, In: Neural Computation. 20, 11, p. 2696-2714 19 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Parametric inference of neuronal response latency in presence of a background signal
Tamborrino, M., Ditlevsen, Susanne & Lansky, P., 2013, In: BioSystems. 112, 3, p. 249-257Research output: Contribution to journal › Journal article › Research › peer-review
- E-pub ahead of print
Penalisation Methods in Fitting High‐Dimensional Cointegrated Vector Autoregressive Models: A Review
Levakova, M. & Ditlevsen, Susanne, 2024, (E-pub ahead of print) In: International Statistical Review. 34 p.Research output: Contribution to journal › Review › Research › peer-review
ID: 6297
Most downloads
-
1909
downloads
Stochastic optimal control of single neuron spike trains
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
1500
downloads
Fokker-Planck and Fortet equation-based parameter estimation for a leaky integrate-and-fire model with sinusoidal and stochastic forcing
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
537
downloads
Parameter inference from hitting times for perturbed Brownian motion
Research output: Contribution to journal › Journal article › Research › peer-review
Published