Results 211 to 220 of about 229,863 (257)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

SNaQ.jl: Improved scalability for level-1 phylogenetic network inference. [PDF]

Bioinformatics
Kolbow N, Kong S, Chafin T, Justison J, Ané C, Solís-Lemus C.   +5 more
europepmc   +1 more source

The Bayesian audit: evaluating the proportionality of scientific claims to evidence - a case study on social priming and walking speed. [PDF]

Front Psychol
Costa T.
europepmc   +1 more source

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Jackknife Empirical Likelihood

Journal of the American Statistical Association, 2009
Empirical likelihood has been found very useful in many different occasions. However, when applied directly to some more complicated statistics such as U-statistics, it runs into serious computational difficulties. In this paper, we introduce a so-called jackknife empirical likelihood (JEL) method. The new method is extremely simple to use in practice.
Bing-Yi Jing
exaly   +4 more sources

Robust Empirical Likelihood

2021
In this paper, we present a robust version of the empirical likelihood estimator for semiparametric moment condition models. This estimator is obtained by minimizing the modified Kullback-Leibler divergence, in its dual form, using truncated orthogonality functions. Some asymptotic properties regarding the limit laws of the estimators are stated.
Amor Keziou, Aida Toma
openaire   +1 more source

Empirical likelihood

2001
Abstract This chapter introduces empirical likelihood as a non- or semiparametric alternative to classical likelihood inference, where the distributional form of the data is left unspecified. The empirical likelihood treats the shape of the distribution as a nuisance parameter and constructs a likelihood function for a feature of the ...
  +5 more sources

EMPIRICAL LIKELIHOOD FOR GARCH MODELS

Econometric Theory, 2006
Summary: This paper develops an empirical likelihood approach for regular generalized autoregressive conditional heteroskedasticity (GARCH) models and GARCH models with unit roots. For regular GARCH models, it is shown that the log empirical likelihood ratio statistic asymptotically follows a \(\chi^2\) distribution.
Chan, NH, Ling, SQ
openaire   +3 more sources

Bayesian empirical likelihood

Biometrika, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources