Susanne Ditlevsen

Susanne Ditlevsen

Professor


  1. 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, 1

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. 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. F607-16

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Parameter inference from hitting times for perturbed Brownian motion

    Tamborrino, M., Ditlevsen, Susanne & Lansky, P., 2015, In: Lifetime Data Analysis. 21, 3, p. 331-352

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. 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 journalJournal articleResearchpeer-review

  5. 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 journalJournal articleResearchpeer-review

  6. 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. 249-257

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. 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 journalReviewResearchpeer-review

  8. 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 journalJournal articleResearchpeer-review

  9. 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 proceedingPreface/postscriptResearch

  10. Published

    Preface

    Ditlevsen, Susanne & Lansky, P., Jun 2016, In: Mathematical Biosciences and Engineering. 13, 3, p. i

    Research output: Contribution to journalEditorialResearch

ID: 6297