Susanne Ditlevsen

Susanne Ditlevsen

Professor

Primary fields of research

Statistics. Statistical inference for stochastic processes. Mathematical biology. Mathematical modeling of physiological systems. Non-linear dynamics. Mathematical neuroscience. Modeling of the behaviour of marine mammals.

Teaching

Basic statistics and probability, stochastic processes, regression and generalized linear models, statistical methods for diffusion processes, mathematical modeling of physiological processes.

Supervision: undergraduate, graduate and PhD students.

Selected publications

  1. Published

    Hypoelliptic diffusions: filtering and inference from complete and partial observations

    Ditlevsen, Susanne & Samson, A., 2019, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 81, 2, p. 361-384

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    Inference for biomedical data by using diffusion models with covariates and mixed effects

    Ruse, M. G., Samson, A. & Ditlevsen, Susanne, 2020, In : Journal of the Royal Statistical Society. Series C: Applied Statistics. 69, 1, p. 167-193

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Understanding narwhal diving behaviour using Hidden Markov Models with dependent state distributions and long range dependence

    Ngô, Cuong, Heide-jørgensen, M. P. & Ditlevsen, Susanne, 2019, In : PLOS Computational Biology. 15, 3, 21 p., e1006425.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Multi-class oscillating systems of interacting neurons

    Ditlevsen, Susanne & Löcherbach, E., 2017, In : Stochastic Processes and Their Applications. 127, p. 1840–1869

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    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. 674-702

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

    Oscillating systems with cointegrated phase processes

    Østergaard, Jacob, Rahbek, Anders & Ditlevsen, Susanne, 2017, In : Journal of Mathematical Biology. 75, 4, p. 845–883 39 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Neurons in Primate Visual Cortex Alternate between Responses to Multiple Stimuli in Their Receptive Field

    Li, K., Kozyrev, V., Kyllingsbæk, Søren, Treue, S., Ditlevsen, Susanne & Bundesen, Claus, 2016, In : Frontiers in Computational Neuroscience. 10, p. 1-20 20 p., 141.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Optimal Design for Estimation in Diffusion Processes from First Hitting Times

    Iolov, A., Ditlevsen, Susanne & Longtin, A., 1 Jan 2017, In : SIAM-ASA Journal on Uncertainty Quantification. 5, 1, p. 88-110 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    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 journalJournal articleResearchpeer-review

  10. Published

    Neural decoding with visual attention using sequential Monte Carlo for leaky integrate-and-fire neurons

    Li, K. & Ditlevsen, Susanne, 2019, In : PLoS ONE. 14, 5, 35 p., e0216322.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 6297