Publications related to Rayleigh distribution

Mark Pauly, Florin Isvoranu, Uday Kusupati, Seiichi Eduardo Suzuki Erazo

We propose Reconfigurable Umbrella Meshes (RUMs), a new class of preassembled deployable structures. A RUM has a compact rest state that can be easily altered to deploy into different bending-active 3D target shapes. RUMs consist of elastic beams and rigid ...

De Gruyter2023

Minimax rate for optimal transport regression between distributions

Victor Panaretos, Laya Ghodrati

Distribution-on-distribution regression considers the problem of formulating and es-timating a regression relationship where both covariate and response are probability distributions. The optimal transport distributional regression model postulates that th ...

ELSEVIER2022

On the Use of Benford’s Law to Assess the Quality of the Data Provided by Lightning Locating Systems

Marcos Rubinstein, Amirhossein Mostajabi, Wolfgang Schulz

Lightning causes significant damage and casualties globally by directly striking humans and livestock, by igniting forest fires, and by inducing electrical surges in electronic infrastructure, airplanes, rockets, etc. Monitoring the evolution of thundersto ...

2022

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

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 vision 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 nov ...

2020

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Daniel Kuhn, Viet Anh Nguyen, Peyman Mohajerin Esfahani

We introduce a distributionally robust maximum likelihood estimation model with a Wasserstein ambiguity set to infer the inverse covariance matrix of a p-dimensional Gaussian random vector from n independent samples. The proposed model minimizes the worst ...

2020

Strong convergence of multivariate maxima

Simone Padoan, Stefano Rizzelli

It is well known and readily seen that the maximum of n independent and uniformly on [0, 1] distributed random variables, suitably standardised, converges in total variation distance, as n increases, to the standard negative exponential distribution. We ex ...

CAMBRIDGE UNIV PRESS2020

Single-spectrum prediction of kurtosis of water waves in a nonconservative model

Yves-Marie François Ducimetière, Debbie Eeltink

We study statistical properties after a sudden episode of wind for water waves propagating in one direction. A wave with random initial conditions is propagated using a forced-damped higher-order nonlinear Schrödinger equation. During the wind episode, the ...

2019

How well do we understand the influence of drifting and blowing snow in extreme environments?

Varun Sharma, Michael Lehning, Jérôme François Sylvain Dujardin, Franziska Gerber, Benjamin Andreas Walter

Extreme cold environments such as the polar regions and high mountain areas are characterised by unknown precipitation quantities and a high variability of snow and ice masses. A key player in understanding the surface mass balance in these areas is drifti ...

2019

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Rayleigh distribution

RUM: Reconfigurable Umbrella Mesh

Can one hear the shape of a target zone?

Minimax rate for optimal transport regression between distributions

On the Use of Benford’s Law to Assess the Quality of the Data Provided by Lightning Locating Systems

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

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

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Strong convergence of multivariate maxima

Single-spectrum prediction of kurtosis of water waves in a nonconservative model

How well do we understand the influence of drifting and blowing snow in extreme environments?

Graph Chatbot

Chat with Graph Search

RUM: Reconfigurable Umbrella Mesh

Minimax rate for optimal transport regression between distributions

Can one hear the shape of a target zone?

On the Use of Benford’s Law to Assess the Quality of the Data Provided by Lightning Locating Systems

Single-spectrum prediction of kurtosis of water waves in a nonconservative model

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

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

How well do we understand the influence of drifting and blowing snow in extreme environments?

Strong convergence of multivariate maxima

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator