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Reliable confidence intervals in quantitative genetics: Narrow-sense heritability

Related publications (28)

Contributions to Likelihood-Based Modelling of Extreme Values

xtreme value analysis is concerned with the modelling of extreme events such as floods and heatwaves, which can have large impacts. Statistical modelling can be useful to better assess risks even if, due to scarcity of measurements, there is inherently ver ...

EPFL2019

Modeling Dielectric Constant Variability in Aggregate Polymers from CV Measurements

Marco Mattavelli, Jean-Michel Sallese, Catherine Dehollain, Diego Ruben Barrettino

Recently a new technique based on capacitive sensing has been developed and used to estimate the amount of moisture in polymers by means of the deviation of the dielectric constant. This technique is expected to be used for in-line monitoring of aggregate ...

IEEE2019

First measurement of the CKM angle phi(3) with B-+/--> D(K-S(0)pi(+)pi(-)pi(0)) K-+/- decays

Olivier Schneider, Sun Hee Kim, Mingkui Wang, Chao Wang, Donghyun Kim, Lei Li, Yiming Li, Xiao Wang

We present the first model-independent measurement of the CKM unitarity triangle angle phi(3) using B-+/--> D(K-S(0)pi(+)pi(-)pi(0)) K-+/- decays, where D indicates either a D-0 or (D) over bar (0) meson. Measurements of the strong-phase difference of the ...

Springer Nature2019

Lancet: A self-correcting Latency Measuring Tool

Edouard Bugnion, Evangelos Marios Kogias, Stephen Xin Mallon

We present LANCET, a self-correcting tool designed to measure the open-loop tail latency of µs-scale datacenter applications with high fan-in connection patterns. LANCET is self-correcting as it relies on online statistical tests to determine situations in ...

USENIX ASSOC2019

A Magnet-Based Timing System to Detect Gate Crossings in Alpine Ski Racing

Kamiar Aminian, Benedikt Fasel

In alpine skiing, intermediate times are usually measured with photocells. However, for practical reasons, the number of intermediate cells is limited to three⁻four, making a detailed timing analysis difficult. In this paper, we propose and validate a magn ...

2019

Effects of altered river network connectivity on the distribution of Salmo trutta: Insights from a metapopulation model

Andrea Rinaldo, Enrico Bertuzzo, Luca Carraro, Alexia Maria Gonzalez Ferreras

Network connectivity is a key feature of rivers that affects patterns and processes in lotic ecosystems. Few studies have considered how changes in river reach connectivity might affect ecosystem attributes at a whole river network scale. The use of popula ...

WILEY2019

An Inertial Parallel and Asynchronous Forward-Backward Iteration for Distributed Convex Optimization

Georgios Stathopoulos, Colin Neil Jones

Two characteristics that make convex decomposition algorithms attractive are simplicity of operations and generation of parallelizable structures. In principle, these schemes require that all coordinates update at the same time, i.e., they are synchronous ...

SPRINGER/PLENUM PUBLISHERS2019

Large-scale variational inference for Bayesian joint regression modelling of high-dimensional genetic data

Hélène Ruffieux

Genetic association studies have become increasingly important in understanding the molecular bases of complex human traits. The specific analysis of intermediate molecular traits, via quantitative trait locus (QTL) studies, has recently received much atte ...

EPFL2019