Publications related to Test statistic

Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect

Negar Kiyavash, Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Seyed Jalal Etesami

Causal identification is at the core of the causal inference literature, where complete algorithms have been proposed to identify causal queries of interest. The validity of these algorithms hinges on the restrictive assumption of having access to a correc ...

2022

SmartSwim, a Novel IMU-Based Coaching Assistance

Kamiar Aminian, Farzin Dadashi, Fabien Massé, Mahdi Hamidi Rad, Vincent Gremeaux

Swimming coaches provide regular timed and technical feedback to swimmers and guide them efficiently in training sessions. Due to the complexity of swimmers' performance, which is not visible in qualitative observation, quantitative and objective performan ...

MDPI2022

Lightweight HI source finding for next generation radio surveys

Jean-Paul Richard Kneib, Frédéric Courbin, Aymeric Alexandre Galan, Austin Chandler Peel, Emma Elizabeth Tolley, Mark Thomas Sargent

Future deep HI surveys will be essential for understanding the nature of galaxies and the content of the Universe. However, the large volume of these data will require distributed and automated processing techniques. We introduce LiSA, a set of python modu ...

ELSEVIER2022

Full-scale testing of European steel beams with reduced beam section under reversed cyclic loading

Dimitrios Lignos, Hiroyuki Inamasu

Steel beams with reduced beam section (RBS) are often used as part of prequalified connections in seismic regions. However, RBS connections are not as common in Europe. Reasons relate to easiness in fabrication, which requires on-site welding, and the seis ...

Springer Nature2022

Bio-inspired Structures for Enhancing Energy Dissipation of Helmets

Mengbo Kang

The risk of concussion remains high in snow sports, even with a high helmet adoption rate. Novel helmet designs with enhanced energy dissipation are needed to solve this issue. In this study, helmet liners with bio-inspired honeycomb structures were propos ...

2022

Towards Efficient Correction of Coconut Tree Detection Errors

Devis Tuia, Diego Michael Schibli

Coconut tree plantations are one of the main sources of income in several South Pacific countries. Thus, keeping track of the location of coconut trees is important for monitoring and post-disaster assessment. Although deep learning based object detectors ...

IEEE2022

A Statistical Test for Probabilistic Fairness

Daniel Kuhn, Viet Anh Nguyen, Bahar Taskesen

Algorithms are now routinely used to make consequential decisions that affect human lives. Examples include college admissions, medical interventions or law enforcement. While algorithms empower us to harness all information hidden in vast amounts of data, ...

2021

Improving First-Order Threshold Implementations of SKINNY

Andrea Felice Caforio, Daniel Patrick Collins, Subhadeep Banik, Ognjen Glamocanin

Threshold Implementations have become a popular generic technique to construct circuits resilient against power analysis attacks.In this paper, we look to devise efficient threshold circuits for the lightweight block cipher family SKINNY. The only threshol ...

Springer, Cham2021

Multiple testing with test statistics following heavy-tailed distributions

Zhiwen Jiang

In multiple testing problems where the components come from a mixture model of noise and true effect, we seek to first test for the existence of the non-zero components, and then identify the true alternatives under a fixed significance level

\alpha

. Two ...

EPFL2021

True scale-free networks hidden by finite size effects

Andrea Rinaldo, Samir Suweis, Amos Maritan

We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free structure is generally viable. This has recently been questioned on the basis of statisti ...

NATL ACAD SCIENCES2021

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Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect

SmartSwim, a Novel IMU-Based Coaching Assistance

Lightweight HI source finding for next generation radio surveys

Full-scale testing of European steel beams with reduced beam section under reversed cyclic loading

Bio-inspired Structures for Enhancing Energy Dissipation of Helmets

Towards Efficient Correction of Coconut Tree Detection Errors

A Statistical Test for Probabilistic Fairness

Improving First-Order Threshold Implementations of SKINNY

Multiple testing with test statistics following heavy-tailed distributions

True scale-free networks hidden by finite size effects

Towards Efficient Correction of Coconut Tree Detection Errors

SmartSwim, a Novel IMU-Based Coaching Assistance

Lightweight HI source finding for next generation radio surveys

Full-scale testing of European steel beams with reduced beam section under reversed cyclic loading

Bio-inspired Structures for Enhancing Energy Dissipation of Helmets

Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect

A Statistical Test for Probabilistic Fairness

True scale-free networks hidden by finite size effects

Improving First-Order Threshold Implementations of SKINNY

Multiple testing with test statistics following heavy-tailed distributions