Susanne Ditlevsen
Professor
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
- 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
- Published
Practical estimation of high dimensional stochastic differential mixed-effects models
Picchini, U. & Ditlevsen, Susanne, 1 Mar 2011, In: Computational Statistics & Data Analysis. 55, 3, p. 1426-1444 19 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Preface
Bachar, M., Batzel, J. & Ditlevsen, Susanne, 2013, Stochastic Biomathematical Models: with Applications to Neuronal Modeling. Springer Verlag, p. v-viii (Lecture Notes in Mathematics, Vol. 2058).Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research
- Published
Preface
Ditlevsen, Susanne & Lansky, P., Jun 2016, In: Mathematical Biosciences and Engineering. 13, 3, p. iResearch output: Contribution to journal › Editorial › Research
ID: 6297
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1910
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Stochastic optimal control of single neuron spike trains
Research output: Contribution to journal › Journal article › Research › peer-review
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1501
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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
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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