Publications associées à Regression dilution

Timing and spatial selection bias in rapid extreme event attribution

Anthony Christopher Davison, Ophélia Mireille Anna Miralles

Selection bias may arise when data have been chosen in a way that subsequent analysis does not account for. Such bias can arise in climate event attribution studies that are performed rapidly after a devastating "trigger event'', whose occurrence correspon ...

ELSEVIER2023

Hiding in Plain Sight: The Issue of Hidden Variables

Yimon Aye, Mahdi Assari

Here we discuss "hidden variables", which are typically introduced during an experiment as a consequence of the application of two independent variables together to create a stimulus. With increased sophistication in modern chemical biology tools and relat ...

AMER CHEMICAL SOC2022

Smart Armband with Graphene Textile Electrodes for EMG-based Muscle Fatigue Monitoring

Ata Jedari Golparvar

We report the successful acquisition of surface electromyography (sEMG) signals from an intelligent armband and its application in localized muscle fatigue monitoring with a costume-designed, small-scale front-end readout circuitry. The correlation coeffic ...

IEEE2021

Compact atomic descriptors enable accurate predictions via linear models

Kevin Rossi

We probe the accuracy of linear ridge regression employing a three-body local density representation derived from the atomic cluster expansion. We benchmark the accuracy of this framework in the prediction of formation energies and atomic forces in molecul ...

AIP Publishing2021

Impact of limestone fineness on cement hydration at early age

Karen Scrivener, Mohsen Ben Haha, Yosra Briki

This study compares the influence of two limestone fineness on strength development and cement hydration. The replacement of clinker by 20% of fine limestone (d(v,50) = 2 mu m and SSA = 4,21 m(2)/g) gives similar strength development to PC up to 7 days. Fi ...

Pergamon-Elsevier Science Ltd2021

A hybrid Body-Machine Interface integrating signals from muscles and motions

Camilla Pierella

Objective.Body-Machine Interfaces (BoMIs) establish a way to operate a variety of devices, allowing their users to extend the limits of their motor abilities by exploiting the redundancy of muscles and motions that remain available after spinal cord injury ...

IOP PUBLISHING LTD2020

Hessian Splines For Scanning Transmission X-Ray Microscopy

Michaël Unser, Thomas Jean Debarre

Scanning transmission X-ray microscopy (STXM) produces images in which each pixel value is related to the measured attenuation of an X-ray beam. In practice, the location of the illuminated region does not exactly match the desired uniform pixel grid. This ...

IEEE2020

Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study

Anne Daniëlle Koelewijn

This paper compares predictions of metabolic energy expenditure in gait using seven metabolic energy expenditure models to assess their correlation with experimental data. Ground reaction forces, marker data, and pulmonary gas exchange data were recorded f ...

2019

Associations between usual diet and gut microbiota composition: results from the Milieu Interieur cross-sectional study

Jacques Fellay

Background: Diet is widely recognized as one of the main modifiable drivers of gut microbiota variability, and its influence on microbiota composition is an active area of investigation. ...

OXFORD UNIV PRESS2019

COMPARISON OF LUMINANCE BASED METRICS IN DIFFERENT LIGHTING CONDITIONS

Marilyne Andersen, Jan Wienold, Mandana Sarey Khanie

In this study, we evaluate established and newly developed metrics for predicting glare using data from three different research studies. The evaluation covers two different targets: 1. How well the user’s perception of glare magnitude correlates to the pr ...

CIE, Vienna2017

Computational aspects of correlation power analysis

Joppe Willem Bos, Paul Bottinelli

Since the discovery of simple power attacks, the cryptographic research community has developed significantly more advanced attack methods. The idea behind most algorithms remains to perform a statistical analysis by correlating the power trace obtained wh ...

Springer Heidelberg2017

Predicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features

Philipp Bucher, Sunil Kumar

Background: Understanding the mechanisms by which transcription factors (TF) are recruited to their physiological target sites is crucial for understanding gene regulation. DNA sequence intrinsic features such as predicted binding affinity are often not ve ...

Biomed Central Ltd2016

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

Michael Lehning, Wolf Hendrik Huwald, Marc Parlange, Bettina Schaefli, Aurélien Gallice

The development of stream temperature regression models at regional scales has regained some popularity over the past years. These models are used to predict stream temperature in ungauged catchments to assess the impact of human activities or climate chan ...

European Geosciences Union2015

Estimating Beauty Ratings of Videos using Supervoxels

Sabine Süsstrunk, Appu Shaji, Gökhan Yildirim

The major low-level perceptual components that influence the beauty ratings of video are color, contrast, and motion. To estimate the beauty ratings of the NHK dataset, we propose to extract these features based on supervoxels, which are a group of pixels ...

2013

Pass-by noise acoustic sensing for estimating speed and wheelbase length of two-axle vehicles

Jean-Marc Odobez, Hervé Lissek, Xavier Falourd, Patrick Marmaroli

This paper focuses on acoustic road traffic monitoring and looks, more specifically, into the problem of speed and wheelbase length estimation of two-axle vehicles as they pass by. It is known that both front and rear axle trajectories may be dissociated u ...

2013

Statistical modelling of the snow depth distribution in open alpine terrain

Michael Lehning

The spatial distribution of alpine snow covers is characterised by large variability. Taking this variability into account is important for many tasks including hydrology, glaciology, ecology or natural hazards. Statistical modelling is frequently applied ...

European Geosciences Union2013

Mean field variational Bayesian inference for nonparametric regression with measurement error

Tung Huy Pham

A fast mean field variational Bayes (MFVB) approach to nonparametric regression when the predictors are subject to classical measurement error is investigated. It is shown that the use of such technology to the measurement error setting achieves reasonable ...

Elsevier2013

Dense Disparity Estimation from Linear Measurements

Pascal Frossard, Vijayaraghavan Thirumalai

This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose common objects are relatively displaced due to the positioning of vision sens ...

2011

Distributed Sensing of Signals Linked by Sparse Filtering

Martin Vetterli, Olivier Roy, Ali Hormati, Yue Lu

We consider the task of recovering correlated vectors at a central decoder based on fixed linear measurements obtained by distributed sensors. A general formulation of the problem is proposed, under both a universal and an almost sure reconstruction requir ...

2009

The radial plot in meta-analysis: approximations and applications

Fixed effects meta-analysis can be thought of as least squares analysis of the radial plot, the plot of standardized treatment effect against precision (reciprocal of the standard deviation) for the studies in a systematic review. For example, the least sq ...

2009