Department of Mathematical Sciences

 

 
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  1. Published

    Averaging over Heegner Points in the Hyperbolic Circle Problem

    Petridis, Y. N. & Risager, Morten S., 2018, In: International Mathematics Research Notices. 2018, 16, p. 4942-4968

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

  2. Published

    DISSOLVING OF CUSP FORMS: HIGHER-ORDER FERMI'S GOLDEN RULES

    Petridis, Y. N. & Risager, Morten S., Jul 2013, In: Mathematika. 59, 2, p. 269-301

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

  3. Published

    Higher Order Deformations of Hyperbolic Spectra

    Petridis, Y. N. & Risager, Morten S., 2021, Schrödinger Operators, Spectral Analysis and Number Theory: In Memory of Erik Balslev. Albeverio, S., Balslev, A. & Weder, R. (eds.). Springer, p. 223-239 (Springer Proceedings in Mathematics & Statistics; No. 348).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  4. Published

    Arithmetic statistics of modular symbols

    Petridis, Y. N. & Risager, Morten S., Jun 2018, In: Inventiones Mathematicae. 212, 3, p. 997-1053

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

  5. Published

    Local average in hyperbolic lattice point counting: with an appendix by Niko Laaksonen

    Petridis, Y. N. & Risager, Morten S., 2017, In: Mathematische Zeitschrift. 285, 3, p. 1319–1344

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

  6. Published

    Stabilizing variable selection and regression

    Pfister, Niklas Andreas, Williams, E. G., Peters, J., Aebersold, R. & Bühlmann, P., 2021, In: Annals of Applied Statistics. 15, 3, p. 1220-1246

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

  7. Published

    Learning stable and predictive structures in kinetic systems

    Pfister, Niklas Andreas, Bauer, S. & Peters, J., 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 51, p. 25405-25411

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

  8. Published

    Robustifying independent component analysis by adjusting for group-wise stationary noise

    Pfister, Niklas Andreas, Weichwald, Sebastian, Bühlmann, P. & Schölkopf, B., 2019, In: Journal of Machine Learning Research. 20, 50 p., 147.

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

  9. Published

    Identifiability of Sparse Causal Effects using Instrumental Variables

    Pfister, Niklas Andreas & Peters, J., 2022, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence. PMLR, p. 1613-1622 10 p. (Proceedings of Machine Learning Research, Vol. 180).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. Published

    Kernel-based tests for joint independence

    Pfister, Niklas Andreas, Bühlmann, P., Schölkopf, B. & Peters, J., 1 Jan 2018, In: Journal of the Royal Statistical Society, Series B (Statistical Methodology). 80, 1, p. 5-31 27 p.

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

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