Results 51 to 60 of about 3,669,328 (301)
Lower Bounds for the Asymptotic Relative Efficiency of Huber Regression
MathematicsHuber regression serves as a prominent robust alternative to ordinary least squares (OLS), particularly in the presence of heavy-tailed error distributions.
Xiaoyi Wang, Le Zhou
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New Journal of Physics, 2020 Odd-parity error rejection (OPER), in particular the method of actively odd parity pairing (AOPP), can drastically improve the asymptotic key rate of sending-or-not-sending twin-field (SNS-TF) quantum key distribution (QKD).
Cong Jiang +4 more
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Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors
Advanced Science, EarlyView.Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu +4 more
wiley +1 more source
Stochastic efficiency: five case studies
New Journal of Physics, 2015 Stochastic efficiency is evaluated in five case studies: driven Brownian motion, effusion with a thermo-chemical and thermo-velocity gradient, a quantum dot and a model for information to work conversion.
Karel Proesmans +1 more
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A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Asymptotic Efficiencies of Sequential Tests
The Annals of Statistics, 1976 Some concepts of relative and absolute efficiency for sequential tests are considered. These are sequential analogs of Hodges-Lehmann and Chernoff efficiencies. Using these criteria, several sequential tests for the mean of a normal distribution are evaluated.
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Asymptotic Equipartition Property and its Applications in Data Compression [PDF]
, 2022 openLa teoria dell’informazione è la scienza alla base della compressione e della trasmissione dei dati. Questa tesi ha lo scopo di analizzare alcune delle nozioni principali della teoria dell’informazione, con lo scopo di studiare il legame che unisce ...
MABERINO, FRANCESCO
core
Advanced Science, EarlyView.Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve +7 more
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Asymptotic Expansion of the Solutions to Time-Space Fractional Kuramoto-Sivashinsky Equations
Advances in Mathematical Physics, 2016 This paper is devoted to finding the asymptotic expansion of solutions to fractional partial differential equations with initial conditions. A new method, the residual power series method, is proposed for time-space fractional partial differential ...
Weishi Yin +3 more
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On Asymptotically Efficient Recursive Estimation
The Annals of Statistics, 1978 Stochastic approximation procedures were shown by Sakrison to become asymptotically efficient estimators when used to minimize the Kullback-Leibler information, if certain conditions hold. Further results in this direction were obtained by Nevel'son and Has'minskij.
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