Eduardo García Portugués

Carlos III University of Madrid

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Students

Are you a motivated student that wants to do a Master or Bachelor Thesis? If yes, below are some thesis topics I offer. The legend [Mathematics-Statistics-Theory | Computing | Applications] represents an approximation of the percentage of each area in the thesis. The topics that can be adapted to be done at either Master or Bachelor level are listed in both sections. Some offers could lead to a scientific publication.

If you are interested in pursuing any of these topics, then get in contact providing your academic records!

Master Thesis offers

    • Statistical inference via Stein’s method (with Bruno Ebner) [60|30|10]
    • Partly assigned Two interdisciplinary thesis proposals in aerospace engineering within the INFLUENTIA project (with Marco Raiola) [10|30|60]
    • From Ornstein–Uhlenbeck to circular diffusions [30|30|20]
    • Assigned Density estimation via normalizing flows [30|60|10]
    • Goodness-of-fit for nested spheres (with Andrea Meilán Vila) [40|30|30]
    • The harmonic mean p-value in multiple testing problems [20|40|40]
    • Nonparametric estimation of the spherical regression function with spatially correlated errors (with Andrea Meilán Vila) [60|30|10]
    • Assigned Inferring the optimal exercise boundary of an American option (with Abel Guada Azze) [20|50|30]
    • Assigned Generative modeling through diffusions [30|50|20]
    • Score matching in machine learning [40|40|20]
    • Assigned Optimal stopping of an Ornstein–Uhlenbeck bridge, with applications in mathematical finance (with Abel Guada Azze) [20|50|30]

Bachelor Thesis offers

    • Partly assigned Two interdisciplinary thesis proposals in aerospace engineering within the INFLUENTIA project (with Marco Raiola) [10|30|60]
    • Statistical inference via Stein’s method (with Bruno Ebner) [60|30|10]
    • Assigned Density estimation via normalizing flows [30|60|10]
    • The harmonic mean p-value in multiple testing problems [20|40|40]
    • Assigned Generative modeling through diffusions [30|50|20]
    • Score matching in machine learning [40|40|20]
    • Assigned Optimal stopping of an Ornstein–Uhlenbeck bridge, with applications in mathematical finance (with Abel Guada Azze) [20|50|30]