Publications associées à Événement élémentaire

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation

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

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

Selection Bias in News Coverage: Learning it, Fighting it

Karl Aberer, Jérémie Rappaz

News entities must select and filter the coverage they broadcast through their respective channels since the set of world events is too large to be treated exhaustively. The subjective nature of this filtering induces biases due to, among other things, res ...

2018

Measurement of charged particle multiplicities in pp collisions at root s=7 TeV in the forward region

Olivier Schneider, Aurelio Bay, Guido Haefeli, Christoph Frei, Frédéric Blanc, Tatsuya Nakada, Julien Rouvinet, Barinjaka Rakotomiaramanana, Michel De Cian, Christophe Salzmann, Raluca Anca Muresan, Johan Luisier, Jian Wang, Anne Keune, Yi Zhang, Vincent Fave, Lei Zhang, Mathias Oleg Knecht, Jessica Prisciandaro, Mark Tobin, Minh Tâm Tran, Niko Neufeld, Matthew Needham, Marc-Olivier Bettler, Greig Alan Cowan, Vladislav Balagura, Cédric Potterat, Plamen Hristov Hopchev, Bastien Luca Muster, Frédéric Guillaume Dupertuis, Pierre Jaton, Joël Bressieux, Albert Puig Navarro, Christophe Bauer, Neal Gauvin, Géraldine Conti, Hans Dijkstra, Gerhard Raven, Peter Clarke, Frédéric Teubert, Giovanni Carboni, , ,

Approximation of event probabilities in noisy cellular processes

Maria-Emanuela-Canini Mateescu, Verena Wolf

Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time stochastic models (CTMC) can be used to describe such effects, but the calculati ...

2011

Continuity Properties of Law-Invariant (Quasi-)Convex Risk Functions on L∞

Gregor Svindland

We study continuity properties of law-invariant (quasi-)convex functions f : L1(Ω,F, P) to ( ∞,∞] over a non-atomic probability space (Ω,F, P) .This is a supplementary note to [12] ...

Springer Verlag2010

Approximation of Event Probabilities in Noisy Cellular Processes

Maria-Emanuela-Canini Mateescu, Verena Wolf

Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time stochastic models (CTMC) can be used to describe such effects, but the calculati ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2009

Classification with class-independent quality information for biometric verification

Krzysztof Kryszczuk

Biometric identity verification systems frequently face the challenges of non-controlled conditions of data acquisition. Under such conditions biometric signals may suffer from quality degradation due to extraneous, identity-independent factors. It has bee ...

EPFL2008

Study of B̄0→D0π+π- decays

Olivier Schneider, Aurelio Bay, Mingkui Wang, Chao Wang, Tagir Aushev, Lei Zhang, Vladislav Balagura

We report the results of a study of neutral B meson decays to the D0π+π- final state, where the D0 is fully reconstructed. The results are obtained from an event sample containing 388×106 BB̄-meson pairs collected in the Belle experiment at the KEKB e+e- c ...

American Physical Society2007