Niels Richard Hansen

Niels Richard Hansen

Professor


  1. 2018
  2. Published

    Causal learning for partially observed stochastic dynamical systems

    Mogensen, S. W., Malinsky, D. & Hansen, Niels Richard, 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Globerson, A., Globerson, A. & Silva, R. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), Vol. 1. p. 350-360 11 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    FANCD2 binding identifies conserved fragile sites at large transcribed genes in avian cells

    Pentzold, C., Shah, S. A., Hansen, Niels Richard, Le Tallec, B., Seguin-Orlando, A., Debatisse, M., Lisby, Michael & Østergaard, Vibe Hallundbæk, 2018, In: Nucleic Acids Research. 46, 3, p. 1280-1294 15 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    On Stein's unbiased risk estimate for reduced rank estimators

    Hansen, Niels Richard, 1 Apr 2018, In: Statistics and Probability Letters. 135, p. 76-82 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Degrees of freedom for piecewise Lipschitz estimators

    Mikkelsen, F. R. & Hansen, Niels Richard, 1 May 2018, In: Annales de l'Institut Henri Poincaré, Probabilités et Statistiques. 54, 2, p. 819-841 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 2019
  7. Published

    Causal structure learning for partially observed multivariate event processes

    Hansen, Niels Richard, Mogensen, S. W. & Malinsky, D., 2019, Foundations and new horizons for causal inference. Meinshausen, N., Peters, J., Richardson, T. & Schölkopf, B. (eds.). Mathematisches Forschungsinstitut Oberwolfach, p. 1519-1521 (Oberwolfach Reports; No. 25, Vol. 2019).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  8. Published

    Sparse network estimation for dynamical spatio-temporal array models

    Lund, A. & Hansen, Niels Richard, 1 Nov 2019, In: Journal of Multivariate Analysis. 174, 16 p., 104532.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. 2020
  10. Published

    Graphical continuous Lyapunov models

    Varando, G. & Hansen, Niels Richard, 2020, Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAII). Peters, J. & Sontag, D. (eds.). PMLR, p. 989-998 (Proceedings of Machine Learning Research, Vol. 124).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  11. Published

    Markov equivalence of marginalized local independence graphs

    Mogensen, S. W. & Hansen, Niels Richard, Feb 2020, In: Annals of Statistics. 48, 1, p. 539-559

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. 2021
  13. Published

    Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases

    Adams, Jeffrey Glenn, Hansen, Niels Richard & Zhang, K., 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, p. 1-12

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  14. Published

    Testing Conditional Independence via Quantile Regression Based Partial Copulas

    Petersen, L. & Hansen, Niels Richard, 2021, In: Journal of Machine Learning Research. 22, p. 1-47

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 7337