Susanne Ditlevsen
Professor
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
- Published
Only through perturbation can relaxation times be estimated
Ditlevsen, Susanne & Lansky, P., 2012, In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics. 86, 6, p. 050102 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Firing variability is higher than deduced from the empirical coefficient of variation
Ditlevsen, Susanne & Lansky, P., 2011, In: Neural Computation. 23, p. 1944-1966Research output: Contribution to journal › Journal article › Research › peer-review
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Modeling of physiological processes by stochastic differential equations
Ditlevsen, Susanne, 2005, Biostatistisk Afdeling: Museum Tusculanum. 144 p.Research output: Book/Report › Ph.D. thesis › Research
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Estimation in the partially observed stochastic Morris-Lecar neuronal model with particle filter and stochastic approximation methods
Ditlevsen, Susanne & Samson, A., 2014, In: Annals of Applied Statistics. 8, 2, p. 674-702Research output: Contribution to journal › Journal article › Research › peer-review
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Sammenhænge, risici, behandlingseffekter - kan vi stole på forskningsresultaterne?
Ditlevsen, Susanne, Sørensen, Helle & Andersen, Per Kragh, 2018, In: Practicus. 241, p. 8-9Research output: Contribution to journal › Journal article › Research
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Models, data and statistics - why is it so difficult?
Ditlevsen, Susanne & Lundh, T., 2020, In: European Communications in Mathematical and Theoretical Biology. 23, 4 p.Research output: Contribution to journal › Journal article › Research
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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
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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
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Transient dynamics of Pearson diffusions facilitates estimation of rate parameters
Ditlevsen, Susanne, Cencerrado Rubio, A. & Lansky, P., 2020, In: Communications in Nonlinear Science and Numerical Simulation. 82, 25 p., 105034.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Mediation proportion.
Ditlevsen, Susanne, Keiding, N., Christensen, Ulla, Damsgaard, M. T. & Lynch, J., 2005, In: Epidemiology. 16, 4, p. 592Research output: Contribution to journal › Letter › Research
ID: 6297
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1909
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Stochastic optimal control of single neuron spike trains
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1500
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Fokker-Planck and Fortet equation-based parameter estimation for a leaky integrate-and-fire model with sinusoidal and stochastic forcing
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537
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Parameter inference from hitting times for perturbed Brownian motion
Research output: Contribution to journal › Journal article › Research › peer-review
Published