Results 41 to 50 of about 4,373,274 (284)
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Advanced Science, EarlyView.Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
THE EFFICIENCY OF EMPIRICAL LIKELIHOOD WITH NUISANCE PARAMETERS [PDF]
Journal of Mathematics and Statistics, 2014 In this study we check the asymptotic efficiency of empirical likelihood in the presence of nuisance parameters combined with augmented moment conditions. We show that in the presence of nuisance parameters, the asymptotic efficiency of the empirical likelihood estimator of the parameter of interest will increase by adding more moment conditions, in ...
openaire +2 more sources
Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy
Advanced Science, EarlyView.A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo +12 more
wiley +1 more source
The Agreement between the Generalized p Value and Bayesian Evidence in the One-Sided Testing Problem
International Journal of Mathematics and Mathematical Sciences, 2016 In the problem of testing one-sided hypotheses, a frequentist may measure evidence against the null hypothesis by the p value, while a Bayesian may measure it by the posterior probability that the null hypothesis is true.
Yuliang Yin, Bingbing Wang
doaj +1 more source
The NOSE Platform®: A Real-Time Solution to Forecast & Monitor Nuisance Odours
Chemical Engineering Transactions, 2012 In recent years, the public’s awareness and response to nuisance odours have risen markedly. Accordingly, integration of industrial sites, such as wastewater treatment plants and solid waste treatment facilities, within their local environment represents
A. Givelet +3 more
doaj +1 more source
The DNNLikelihood: enhancing likelihood distribution with Deep Learning
European Physical Journal C: Particles and Fields, 2020 We introduce the DNNLikelihood, a novel framework to easily encode, through deep neural networks (DNN), the full experimental information contained in complicated likelihood functions (LFs).
Andrea Coccaro +3 more
doaj +1 more source
Advanced Science, EarlyView.Resolution pharmacology is an emerging strategy to tackle inflammatory pathologies. Bioinspired meroterpenoids induce a lipid mediator class switch toward inflammation resolution in vitro and in vivo by targeting key nodes in lipid mediator biosynthesis and neutral lipid dynamics.
Lorenz Waltl +20 more
wiley +1 more source
Nuisance parameters, composite likelihoods and a panel of GARCH models [PDF]
We investigate the properties of the composite likelihood (CL) method for (T ×N_T ) GARCH panels. The defining feature of a GARCH panel with time series length T is that, while nuisance parameters are allowed to vary across N_T series, other parameters ...
Neil Shephard +2 more
core +1 more source
Approximated Information Analysis in Bayesian Inference
Entropy, 2015 In models with nuisance parameters, Bayesian procedures based on Markov Chain Monte Carlo (MCMC) methods have been developed to approximate the posterior distribution of the parameter of interest.
Jung In Seo, Yongku Kim
doaj +1 more source