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Related publications (30)

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Analysis of the Bias-Dependent Split Emission Zone in Phosphorescent OLEDs

Markus Regnat

From s-polarized, angle-dependent measurements of the electroluminescence spectra in a three-layer phosphorescent organic light-emitting diode, we calculate the exciton distribution inside the 35 nm thick emission layer. The shape of the exciton profile ch ...

2018

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

DES Y1 Results: validating cosmological parameter estimation using simulated Dark Energy Surveys

Mingkui Wang, Eduardo Sanchez, Craig Matthew Smith, Jonathan Andrew Blazek, Augusto Martins Lima

We use mock galaxy survey simulations designed to resemble the Dark Energy Survey Year 1 (DES Y1) data to validate and inform cosmological parameter estimation. When similar analysis tools are applied to both simulations and real survey data, they provide ...

OXFORD UNIV PRESS2018

Computable Bounds on the Exploration Bias

Michael Christoph Gastpar, Ibrahim Issa

Adaptive data analysis is known to introduce bias in reported measurements. Russo and Zou [1] recently introduced an information-theoretic framework to study this problem. Herein, this framework is adopted and new dependence measures are introduced to boun ...

2018

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

Stephan Morgenthaler

We study bias arising as a result of nonlinear transformations of random variables in random or mixed effects models and its effect on inference in group-level studies or in meta-analysis. The findings are illustrated on the example of overdispersed binomi ...

Wiley-Blackwell2016

Probing the Limits of Social Data : Biases, Methods, and Domain Knowledge

Alexandra Olteanu

Online social data has been hailed to provide unprecedented insights into human phenomena due to its ability to capture human behavior at a scale and level of detail, both in breadth and depth, that is hard to achieve through conventional data collection t ...

EPFL2016

Origin and nature of measurement bias in catadioptric parallel goniophotometers

Marilyne Andersen, Boris Clément Karamata

We briefly categorize and compare parallel goniophotometers, which are instruments capable of simultaneously measuring the far-field distribution of light scattered by a surface or emitted by a source over a large solid angle. Little is known about the acc ...

2014

Dual-Color Electroluminescence from Dot-in-Bulk Nanocrystals

Christophe Marcel Georges Galland

The emission color from colloidal semiconductor nanocrystals (NCs) is usually tuned through control of particle size, while multicolor emission is obtained by mixing NCs of different sizes within an emissive layer. Here, we demonstrate that recently introd ...

Amer Chemical Soc2014

Probabilistic Model Falsification for Infrastructure Diagnosis

James-Alexandre Goulet

Most infrastructure in the western world was built in the second half of the 20th century. Transportation structures, water distribution networks and energy production systems are now aging and this leads to safety and serviceability issues. In situations ...

EPFL2012

Reporting incentives and biases in online review forums

Boi Faltings, Radu Jurca, Florent Frédéric Garcin

Online reviews have become increasingly popular as a way to judge the quality of various products and services. However, recent work demonstrates that the absence of reporting incentives leads to a biased set of reviews that may not reflect the true qualit ...

2010