Publications related to Sufficient statistic

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 & Sohn2024

Detecting 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 SCIENCE2023

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Olga Fink, Sergei Garmaev

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 Publishing2023

Testing For The Rank Of A Covariance Operator

Victor Panaretos

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-IMS2022

Data-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 ...

2022

The 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-IMS2022

Security 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 INC2022

Object 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

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Sufficient statistic

Model uncertainties in action effects and load bearing capacity calculation in statically indeterminate reinforced concrete structures

Detecting whether a stochastic process is finitely expressed in a basis

Positive Definite Completions and Continuous Graphical Models

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Testing For The Rank Of A Covariance Operator

Data-Driven Unknown-Input Observers and State Estimation

The Completion Of Covariance Kernels

Data-driven and Safe Networked Control with Applications to Microgrids

Security Measures for Grids Against Rank-1 Undetectable Time-Synchronization Attacks

Object Priors for Volumetric Image Segmentation

Graph Chatbot

Chat with Graph Search

Data-driven and Safe Networked Control with Applications to Microgrids

Positive Definite Completions and Continuous Graphical Models

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Detecting whether a stochastic process is finitely expressed in a basis

The Completion Of Covariance Kernels

Model uncertainties in action effects and load bearing capacity calculation in statically indeterminate reinforced concrete structures

Security Measures for Grids Against Rank-1 Undetectable Time-Synchronization Attacks

Testing For The Rank Of A Covariance Operator

Object Priors for Volumetric Image Segmentation

Data-Driven Unknown-Input Observers and State Estimation