Publications associées à Sampling error

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

We analyze the accuracy of the discrete least-squares approximation of a function

u

in multivariate polynomial spaces

P_\Lambda:=span\{y\mapsto y^\nu \,: \, \nu\in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma:=[-1,1]^d

, based on the s ...

2017

A Continuation Multi Level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible inviscid aerodynamics

Fabio Nobile, Pénélope Leyland, Michele Pisaroni

In this work we apply the Continuation Multi-Level Monte Carlo (C-MLMC) algorithm proposed in Collier et al. (2014) to efficiently propagate operating and geometric uncertainties in inviscid compressible aerodynamics numerical simulations. The key idea of ...

Elsevier2017

Safe Adaptive Importance Sampling

Martin Jaggi, Sebastian Urban Stich, Anant Raj

Importance sampling has become an indispensable strategy to speed up optimization algorithms for large-scale applications. Improved adaptive variants - using importance values defined by the complete gradient information which changes during optimization - ...

2017

Quasi-random numbers for copula models

Mathieu Jacques David Cambou

The present work addresses the question how sampling algorithms for commonly applied copula models can be adapted to account for quasi-random numbers. Besides sampling methods such as the conditional distribution method (based on a one-to-one transformatio ...

Springer2017

Addressing Beacon Re-Identification Attacks: Quantification and Mitigation of Privacy Risks

Jean-Pierre Hubaux, Jean Louis Raisaro, Florian Tramèr, Shuang Wang, Carlos Bustamante

The Global Alliance for Genomics and Health (GA4GH) created the Beacon Project as a means of testing the willingness of data holders to share genetic data in the simplest technical context query for the presence of a specified nucleotide at a given positio ...

Oxford Univ Press2017

Accelerating equilibrium isotope effect calculations. I. Stochastic thermodynamic integration with respect to mass

Jiri Vanicek, Konstantin Karandashev

Accurate path integral Monte Carlo or molecular dynamics calculations of isotope effects have until recently been expensive because of the necessity to reduce three types of errors present in such calculations: statistical errors due to sampling, path inte ...

American Institute of Physics2017

Dislocation cross-slip in fcc solid solution alloys

William Curtin, Wolfram Georg Nöhring

Cross-slip is a fundamental process of screw dislocation motion and plays an important role in the evolution of work hardening and dislocation structuring in metals. Cross-slip has been widely studied in pure FCC metals but rarely in FCC solid solutions. H ...

2017

Clustering of quasars in SDSS-IV eBOSS: study of potential systematics and bias determination

Jean-Paul Richard Kneib, Johan Comparat, Pierre Laurent

We study the first year of the eBOSS quasar sample in the redshift range 0.9 < z < 2.2 which includes 68,772 homogeneously selected quasars. We show that the main source of systematics in the evaluation of the correlation function arises from inhomogeneiti ...

Iop Publishing Ltd2017

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Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function

u

in multivariate polynomial spaces

P_\Lambda:=span\{y\mapsto y^\nu \,: \, \nu\in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma:=[-1,1]^d

, based on the s ...

2017

Sampling error

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

A Continuation Multi Level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible inviscid aerodynamics

Large Field of View Multi-Camera Endoscopic Apparatus with Omni-Directional Illumination

Safe Adaptive Importance Sampling

Quasi-random numbers for copula models

Effect-based tools for monitoring estrogenic mixtures: Evaluation of five in vitro bioassays

Addressing Beacon Re-Identification Attacks: Quantification and Mitigation of Privacy Risks

Accelerating equilibrium isotope effect calculations. I. Stochastic thermodynamic integration with respect to mass

Dislocation cross-slip in fcc solid solution alloys

Clustering of quasars in SDSS-IV eBOSS: study of potential systematics and bias determination

Graph Chatbot

Chattez avec Graph Search

Dislocation cross-slip in fcc solid solution alloys

Safe Adaptive Importance Sampling

Clustering of quasars in SDSS-IV eBOSS: study of potential systematics and bias determination

Addressing Beacon Re-Identification Attacks: Quantification and Mitigation of Privacy Risks

Accelerating equilibrium isotope effect calculations. I. Stochastic thermodynamic integration with respect to mass

Large Field of View Multi-Camera Endoscopic Apparatus with Omni-Directional Illumination

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

A Continuation Multi Level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible inviscid aerodynamics

Effect-based tools for monitoring estrogenic mixtures: Evaluation of five in vitro bioassays

Quasi-random numbers for copula models