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Spectral modeling of time series with missing data

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Characterization of high harmonic frequencies in reactor noise experiments within the CORTEX project

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We present a novel technique of neutron noise detection and experimental data interpretation developed during the EU H2020 project CORTEX aiming to improve the capabilities for identification and localization of neutron noise sources. The experimental data ...

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Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

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Covariance Estimation for Random Surfaces beyond Separability

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Frequency domain theory for functional time series: Variance decomposition and an invariance principle

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This paper is concerned with frequency domain theory for functional time series, which are temporally dependent sequences of functions in a Hilbert space. We consider a variance decomposition, which is more suitable for such a data structure than the varia ...

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ELSEVIER SCIENCE SA2020

Spectral cross-cumulants for multicolor super-resolved SOFI imaging

Theo Lasser, Aleksandra Radenovic, Marcel Leutenegger, Tomas Lukes, Adrien Charles-François Raymond Descloux, Kristin Stefanie Grussmayer

Super-resolution opticalfluctuation imaging provides a resolution beyond the diffraction limitby analysing stochasticfluorescencefluctuations with higher-order statistics. Usingnthorderspatio-temporal cross-cumulants the spatial resolution and the sampling ...

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Fast hierarchical solvers for symmetric eigenvalue problems

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Assyr Abdulle, Grigorios A. Pavliotis

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2017

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