Publication
Statistical analysis and modeling of intermittent transport events in the tokamak scrape-off layer
Publications associées (102)
Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics
Frédéric Courbin, Gianluca Castignani, Jean-Luc Starck, Austin Chandler Peel, Maurizio Martinelli, Yi Wang, Richard Massey, Fabio Finelli, Marcello Farina
Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precision thanks to their sensitivity to the non-Gaussian features of large-scale ...
EDP SCIENCES S A2023Incentive Mechanism in the Sponsored Content Market With Network Effects
We propose an incentive mechanism for the sponsored content provider (CP) market in which the communication of users can be represented by a graph, and the private information of the users is assumed to have a continuous distribution function. The CP stipu ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023On Approximations of Data-Driven Chance Constrained Programs over Wasserstein Balls
Daniel Kuhn, Zhi Chen, Wolfram Wiesemann
Distributionally robust chance constrained programs minimize a deterministic cost function subject to the satisfaction of one or more safety conditions with high probability, given that the probability distribution of the uncertain problem parameters affec ...
2022Principles of checkpoint override
Why biological quality-control systems fail is often mysterious. Specifically, checkpoints such as the DNA damage checkpoint or the spindle assembly checkpoint are overriden after prolonged arrests allowing cells to continue dividing despite the continued ...
EPFL2022A birth-death-migration model for life in astrophysical environments
To assess the number of life-bearing worlds in astrophysical environments, it is necessary to take the intertwined processes of abiogenesis (birth), extinction (death), and transfer of life (migration) into account. We construct a mathematical model that i ...
OXFORD UNIV PRESS2021Distributionally Robust Optimization with Markovian Data
Daniel Kuhn, Mengmeng Li, Tobias Sutter
We study a stochastic program where the probability distribution of the uncertain problem parameters is unknown and only indirectly observed via finitely many correlated samples generated by an unknown Markov chain with d states. We propose a data-driven d ...
2021Efficient ensemble summaries are inversely related to visual crowding
Michael Herzog, David Pascucci, Yury Markov, Natalia Tiurina
Visual crowding is the inability to perceive properly peripheral stimuli within clutter. Previous work has shown that crowding is affected by perceptual grouping: when the flankers do not group with the target, crowding decreases, leading to uncrowding. Ty ...
2021Towards Interactions Through Differentiable-Non-Differentiable Scale Transitions In Scale Relativity Theory
It is shown that, in the framework of Scale Relativity Theory, correlations of type informational entropy/cross entropy - probability density, in the description of the dynamics of any complex system, can be perceived as interactions. Explaining these inte ...
UNIV POLITEHNICA BUCHAREST, SCI BULL2021Optimal lower bounds on hitting probabilities for non-linear systems of stochastic fractional heat equations
We consider a system of d non-linear stochastic fractional heat equations in spatial dimension 1 driven by multiplicative d-dimensional space-time white noise. We establish a sharp Gaussian-type upper bound on the two-point probability density function of ...
ELSEVIER2021On the density of the supremum of the solution to the linear stochastic heat equation
We study the regularity of the probability density function of the supremum of the solution to the linear stochastic heat equation. Using a general criterion for the smoothness of densities for locally nondegenerate random variables, we establish the smoot ...
SPRINGER2020