Publications related to Generalized normal distribution

An efficient method for fiber bridging traction identification based on the R-curve: Formulation and experimental validation

John Botsis, Thomas Gmür, Joël Cugnoni, Guillaume Frossard

Fiber bridging is one of the main toughening mechanisms in mode I interlaminar and intralaminar fracture of laminated composites. Intact fibers exert closing forces on both faces of the crack, restraining crack propagation. An effective identification proc ...

Elsevier2017

Robust Bounds In Multivariate Extremes

Sebastian Engelke

Extreme value theory provides an asymptotically justified framework for estimation of exceedance probabilities in regions where few or no observations are available. For multivariate tail estimation, the strength of extremal dependence is crucial and it is ...

Institute of Mathematical Statistics2017

MATHICSE Technical Report : Quantifying uncertain system outputs via the multilevel Monte Carlo method – Part I: Central moment estimation

Fabio Nobile, Sebastian Krumscheid, Michele Pisaroni

In this work we introduce and analyze a novel multilevel Monte Carlo (MLMC) estimator for the accurate approximation of central moments of system outputs affected by uncertainties. Central moments play a central role in many disciplines to characterize a r ...

MATHICSE2017

Single Organic Droplet Collision Voltammogram via Electron Transfer Coupled Ion Transfer

Pekka Eero Peljo, Haiqiang Deng, Cheng Liu

Single-emulsion toluene oil droplets (femtoliter) containing a hydrophobic redox probe that are dispersed in water stochastically collide with an ultramicroelectrode (UME). The fast-scan cyclic voltammetry (FSCV) or Fourier-transformed sinusoidal voltammet ...

American Chemical Society2017

Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures

Emeric Rolland Georges Thibaud, Raphaël Huser

Gaussian scale mixtures are constructed as Gaussian processes with a random variance. They have non-Gaussian marginals and can exhibit asymptotic dependence unlike Gaussian processes, which are asymptotically independent except in the case of perfect depen ...

Elsevier Sci Ltd2017

A test for skewed distributions of dark matter, and a possible detection in galaxy cluster Abell 3827

Frédéric Courbin, David Richard Harvey, Mathilde Jauzac, Rémy Elie Joseph, Richard Massey

Simulations of self-interacting dark matter predict that dark matter should lag behind galaxies during a collision. If the interaction is mediated by a high-mass force carrier, the distribution of dark matter can also develop asymmetric dark matter tails. ...

Oxford Univ Press2017

Reliable estimates of predictive uncertainty for an Alpine catchment using a non-parametric methodology

Anton Schleiss, Bettina Schaefli, José Pedro Gamito de Saldanha Calado Matos

Uncertainty affects hydrological modelling efforts from the very measurements (or forecasts) that serve as inputs to the more or less inaccurate predictions that are produced. Uncertainty is truly inescapable in hydrology and yet, due to the theoretical an ...

2017

Microtubule-Binding R3 Fragment from Tau Self-Assembles into Giant Multistranded Amyloid Ribbons

Hilal Lashuel, Nadine Aït Bouziad, Raffaele Mezzenga

Tau protein and its fragments self-assemble into amyloid fibrils in the presence of polyanions, such as heparin. By combining microscopy, scattering, and spectroscopy techniques, we studied the aggregation of the 26-mer Tau-derived peptide alone, Tau306-32 ...

Wiley-V C H Verlag Gmbh2016

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Generalized normal distribution

Distributed State Estimation and Cooperative Path-Following Under Communication Constraints

An efficient method for fiber bridging traction identification based on the R-curve: Formulation and experimental validation

Robust Bounds In Multivariate Extremes

MATHICSE Technical Report : Quantifying uncertain system outputs via the multilevel Monte Carlo method – Part I: Central moment estimation

Single Organic Droplet Collision Voltammogram via Electron Transfer Coupled Ion Transfer

Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures

A test for skewed distributions of dark matter, and a possible detection in galaxy cluster Abell 3827

Nanocapillaries combined with optical tweezers as a single molecule technique for studying DNA-protein complexes

Reliable estimates of predictive uncertainty for an Alpine catchment using a non-parametric methodology

Microtubule-Binding R3 Fragment from Tau Self-Assembles into Giant Multistranded Amyloid Ribbons

Graph Chatbot

Chat with Graph Search

Robust Bounds In Multivariate Extremes

Nanocapillaries combined with optical tweezers as a single molecule technique for studying DNA-protein complexes

An efficient method for fiber bridging traction identification based on the R-curve: Formulation and experimental validation

Distributed State Estimation and Cooperative Path-Following Under Communication Constraints

MATHICSE Technical Report : Quantifying uncertain system outputs via the multilevel Monte Carlo method – Part I: Central moment estimation

Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures

Reliable estimates of predictive uncertainty for an Alpine catchment using a non-parametric methodology

Single Organic Droplet Collision Voltammogram via Electron Transfer Coupled Ion Transfer

A test for skewed distributions of dark matter, and a possible detection in galaxy cluster Abell 3827

Microtubule-Binding R3 Fragment from Tau Self-Assembles into Giant Multistranded Amyloid Ribbons