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Statistique exhaustive
Publications associées (133)
Model uncertainties in action effects and load bearing capacity calculation in statically indeterminate reinforced concrete structures
Aurelio Muttoni, Alain Nussbaumer, Xhemsi Malja
For the dimensioning and assessment of structures, it is common practice to compare action effects with sectional resistances. Extensive studies have been performed to quantify the model uncertainty on the resistance side. However, for statically indetermi ...
Ernst & Sohn2024Detecting whether a stochastic process is finitely expressed in a basis
Victor Panaretos, Neda Mohammadi Jouzdani
Is it possible to detect if the sample paths of a stochastic process almost surely admit a finite expansion with respect to some/any basis? The determination is to be made on the basis of a finite collection of discretely/noisily observed sample paths. We ...
ACADEMIC PRESS INC ELSEVIER SCIENCE2023Positive Definite Completions and Continuous Graphical Models
This thesis concerns the theory of positive-definite completions and its mutually beneficial connections to the statistics of function-valued or continuously-indexed random processes, better known as functional data analysis. In particular, it dwells upon ...
EPFL2023Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach
With the current trend of increasing complexity of industrial systems, the construction and monitoring of health indicators becomes even more challenging. Given that health indicators are commonly employed to predict the end of life, a crucial criterion fo ...
Research Publishing2023Testing For The Rank Of A Covariance Operator
How can we discern whether the covariance operator of a stochastic pro-cess is of reduced rank, and if so, what its precise rank is? And how can we do so at a given level of confidence? This question is central to a great deal of methods for functional dat ...
INST MATHEMATICAL STATISTICS-IMS2022Data-Driven Unknown-Input Observers and State Estimation
Giancarlo Ferrari Trecate, Mustafa Sahin Turan
Unknown-input observers (UIOs) allow for estimation of the states of an LTI system without knowledge of all inputs. In this letter, we provide a novel data-driven UIO based on behavioral system theory and the result known as Fundamental Lemma proposed by J ...
2022The Completion Of Covariance Kernels
Victor Panaretos, Kartik Waghmare
We consider the problem of positive-semidefinite continuation: extending a partially specified covariance kernel from a subdomain Omega of a rectangular domain I x I to a covariance kernel on the entire domain I x I. For a broad class of domains Omega call ...
INST MATHEMATICAL STATISTICS-IMS2022Data-driven and Safe Networked Control with Applications to Microgrids
Today, automatic control is integrated into a wide spectrum of real-world systems such as electrical grids and transportation networks. Many of these systems comprise numerous interconnected agents, perform safety-critical operations, or generate large amo ...
EPFL2022Security Measures for Grids Against Rank-1 Undetectable Time-Synchronization Attacks
Jean-Yves Le Boudec, Marguerite Marie Nathalie Delcourt
Time-synchronization attacks on phasor measurement units (PMUs) pose a real threat to smart grids; it was shown that they are feasible in practice and that they can have a nonnegligible negative impact on state estimation, without triggering the bad data d ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022Object Priors for Volumetric Image Segmentation
Pamuditha Udaranga Wickramasinghe
Large training datasets have played a vital role in the success of modern deep learning methods in computer vision. But, obtaining sufficient amount of training data is challenging, specially when annotating volumetric images. This is because fully annotat ...
EPFL2022