Publications related to Binomial distribution

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Bayesian state estimation in the form of Kalman smoothing was applied to differential mobility analyser train (DMA-train) measurements of aerosol size distribution dynamics. Four experiments were analysed in order to estimate the aerosol size distribution, ...

2021

Mathematical Foundations of Robust and Distributionally Robust Optimization

Daniel Kuhn, Jianzhe Zhen, Wolfram Wiesemann

Robust and distributionally robust optimization are modeling paradigms for decision-making under uncertainty where the uncertain parameters are only known to reside in an uncertainty set or are governed by any probability distribution from within an ambigu ...

2021

Fragility curves for special types of Switzerland buildings

Riccardo Maestrani

Seismic risk analysis, at large scale and local scale, is fundamental support for mitigating the investment costs and recovery works, impacting society's economy. The presented article's main purpose is to present a mechanicalbased model to evaluate the fr ...

2021

Theoretical minimum uncertainty of single-molecule localizations using a single-photon avalanche diode array

Edoardo Charbon, Claudio Bruschini, Paul Mos, Arin Can Ülkü, Daniel Fan

Single-photon avalanche diode (SPAD) arrays can be used for single-molecule localization microscopy (SMLM) because of their high frame rate and lack of readout noise. SPAD arrays have a binary frame output, which means photon arrivals should be described a ...

OPTICAL SOC AMER2021

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

Alexandre Massoud Alahi, Sven Kreiss, Taylor Ferdinand Mordan, Lorenzo Bertoni

Monocular and stereo visions are cost-effective solutions for 3D human localization in the context of self-driving cars or social robots. However, they are usually developed independently and have their respective strengths and limitations. We propose a no ...

2021

On the effect of a penetrating recirculation region on the bifurcations of the flow past a permeable sphere

François Gallaire, Pier Giuseppe Ledda, Giuseppe Antonio Zampogna, Matteo Ciuti

We study the flow past a permeable sphere modeled using homogenization theory. The flow through the porous medium is described by the Darcy law, in which the permeability quantifies the resistance for the fluid to pass through the microstructure. A slip co ...

AIP Publishing2021

Modelling transport time to trauma centres and 30-day mortality in road accidents in Switzerland: an exploratory study

Stéphane Joost

BACKGROUND: Rapid access to a trauma centre for severely injured road accident victims, conceptualised as the Golden Hour, links access time to definitive treatment within 1 hour of trauma with reduced risks of morbidity and mortality. Access times have no ...

E M H SWISS MEDICAL PUBLISHERS LTD2021

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Serge Vaudenay

The maximal achievable advantage of a (computationally unbounded) distinguisher to determine whether a source

Z

is distributed according to distribution

P_0

or

P_1

, when given access to one sample of

Z

, is characterized by the statistical distance ...

Springer, Cham2020

Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks

Emmanuel Abbé

We derive generalization and excess risk bounds for neural networks using a family of complexity measures based on a multilevel relative entropy. The bounds are obtained by introducing the notion of generated hierarchical coverings of neural networks and b ...

MICROTOME PUBL2020

High-Frequency Analysis Of Parabolic Stochastic Pdes

Carsten Hao Ye Chong

We consider the problem of estimating stochastic volatility for a class of second-order parabolic stochastic PDEs. Assuming that the solution is observed at high temporal frequency, we use limit theorems for multipower variations and related functionals to ...

INST MATHEMATICAL STATISTICS2020

Binomial distribution

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Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Mathematical Foundations of Robust and Distributionally Robust Optimization

Fragility curves for special types of Switzerland buildings

Theoretical minimum uncertainty of single-molecule localizations using a single-photon avalanche diode array

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

On the effect of a penetrating recirculation region on the bifurcations of the flow past a permeable sphere

Modelling transport time to trauma centres and 30-day mortality in road accidents in Switzerland: an exploratory study

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks

High-Frequency Analysis Of Parabolic Stochastic Pdes

Modelling transport time to trauma centres and 30-day mortality in road accidents in Switzerland: an exploratory study

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Fragility curves for special types of Switzerland buildings

On the effect of a penetrating recirculation region on the bifurcations of the flow past a permeable sphere

Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

High-Frequency Analysis Of Parabolic Stochastic Pdes

Mathematical Foundations of Robust and Distributionally Robust Optimization

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

Theoretical minimum uncertainty of single-molecule localizations using a single-photon avalanche diode array