Susanne Ditlevsen

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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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-review

3. Published

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

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

   Research output: Contribution to journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-review

6. Published

   Oscillating systems with cointegrated phase processes

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

   Research output: Contribution to journal › Journal article › Research › peer-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, C., 2016, In: Frontiers in Computational Neuroscience. 10, p. 1-20 20 p., 141.

   Research output: Contribution to journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-review