Doctoral Candidate
Giulia Ferrandi
Department / Institute
Group
RESEARCH PROFILE
Giulia Ferrandi is a Doctoral Candidate at Eindhoven University of Technology, in the Department of Mathematics and Computer Science. She works on the European project BIGMATH under the supervision of prof. Michiel Hochstenbach (TU/e) and prof. Alessandra Micheletti (Unimi). Her main interests are Statistics, Linear Algebra and Optimization applied to statistical problems.
All knowledge is worth having - J. Carey
ACADEMIC BACKGROUND
Giulia Ferrandi studied at Università degli Studi di Milano, in the Department of Mathematics, from Sept. 2012 to Feb. 2018. During her master degree, she focused on Probability and Statistics. She briefly taught in High School and spent some months in industry.
Recent Publications
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Giulia Ferrandi,Michiel E. Hochstenbach
A homogeneous Rayleigh quotient with applications in gradient methods
Journal of Computational and Applied Mathematics (2024) -
Giulia Ferrandi
Rayleigh Quotients in Gradient Methods and Linear Dimensionality Reduction
(2024) -
Giulia Ferrandi,Michiel E. Hochstenbach,Nataša Krejić
A harmonic framework for stepsize selection in gradient methods
Computational Optimization and Applications (2023) -
Giulia Ferrandi,Michiel E. Hochstenbach
A homogeneous Rayleigh quotient with applications in gradient methods
arXiv (2022) -
Alessandra Micheletti,Giacomo Aletti,Giulia Ferrandi,Danilo Bertoni,Daniele Cavicchioli,Roberto Pretolani
A weighted χ² test to detect the presence of a major change point in non-stationary Markov Chains
Statistical Methods and Applications (2020)
Ancillary Activities
No ancillary activities