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S-N-P Fatigue Curves using Maximum Likelihood

Eugen Brühwiler, Alain Nussbaumer, Luca D'Angelo, Marina Rocha Pinto Portela Nunes
2014
Conference Papers

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Eugen Brühwiler, Alain Nussbaumer, Luca D'Angelo, Marina Rocha Pinto Portela Nunes
2014
Conference Papers

Official source

Related publications (3)

https://infoscience.epfl.ch/entities/publication/a3fed938-ecc5-4706-aa22-b5a271dead02

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Related publications (3)

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation

Daniel Kuhn, Wolfram Wiesemann, Viet Anh Nguyen, Soroosh Shafieezadeh Abadeh

The likelihood function is a fundamental component in Bayesian statistics. However, evaluating the likelihood of an observation is computationally intractable in many applications. In this paper, we propose a non-parametric approximation of the likelihood ...

2019

The detection of two-component mixture alternatives : Theory and methods

Daria Rukina

In this thesis, we deal with one of the facets of the statistical detection problem. We study a particular type of alternative, the mixture model. We consider testing where the null hypothesis corresponds to the absence of a signal, represented by some kno ...

EPFL2018

One Step Impulse Radio Ultra-WideBand Positioning Algorithm

Jean-Yves Le Boudec

We consider the problem of positioning estimation with impulse radio (IR) ultra-wideband (UWB) radio under dense multipaths and additive Gaussian noise environments. Most popular positioning algorithms first estimate certain parameters (such as time of arr ...

IEEE2009