Results 61 to 70 of about 91,138 (340)

Two Tests for Dependence (of Unknown Form) between Time Series

open access: yesEntropy, 2019
This paper proposes two new nonparametric tests for independence between time series. Both tests are based on symbolic analysis, specifically on symbolic correlation integral, in order to be robust to potential unknown nonlinearities.
M. Victoria Caballero-Pintado   +3 more
doaj   +1 more source

A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter [PDF]

open access: yes, 2003
This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters.
Newey, Whitney K.   +2 more
core   +1 more source

THE EFFICIENCY OF EMPIRICAL LIKELIHOOD WITH NUISANCE PARAMETERS [PDF]

open access: yesJournal 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

A Novel Multilevel Conceptual Framework for Flood Risk Governance

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT Globally, flood risk is increasing as climate change progresses. Contemporary flood risk management practice often utilises hydrodynamic modelling (for hazard risk assessments), social vulnerability assessments, and risk communications in silo, which fragments evidence‐based decision‐making for effective flood risk management. We hence develop
Aiperi Stambekova, Avidesh Seenath
wiley   +1 more source

Comparison between Frequentist Test and Bayesian Test to Variance Normal in the Presence of Nuisance Parameter: One-sided and Two-sided Hypothesis

open access: yesپژوهش‌های ریاضی, 2016
This article is concerned with the comparison P-value and Bayesian measure for the variance of Normal distribution with mean as nuisance paramete. Firstly, the P-value of null hypothesis is compared with the posterior probability when we used a fixed ...
b falahifard   +2 more
doaj  

Contralateral language network integration predicts and protects against naming decline after temporal lobe resection

open access: yesEpilepsia, EarlyView.
Abstract Objective Anterior temporal lobe resection (ATLR) is an effective treatment for drug‐resistant temporal lobe epilepsy (TLE) but carries a substantial risk of language impairment, particularly in naming. Understanding and predicting the impact of ATLR on language functions remains a major clinical challenge.
Karl‐Heinz Nenning   +8 more
wiley   +1 more source

Integrating multivariate resting‐state fMRI features to localize epileptic networks in common childhood epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Accurate localization of epileptic activity remains challenging when interictal discharges are absent or sparse. Although resting‐state functional MRI (rs‐fMRI) is noninvasive, individual rs‐fMRI metrics provide inconsistent and incomplete localization.
Qirui Zhang   +8 more
wiley   +1 more source

Doppler stretch and delay Cramer-Rao lower bound for signal with large bandwidth

open access: yesИзвестия высших учебных заведений России: Радиоэлектроника, 2016
In this paper Cramer-Rao lower bound of joint Doppler stretch and delay estimation for wideband signal is derived. We use wideband term to denote cases in which narrowband signal model is inappropriate.
I. V. Gogolev
doaj  

Estimating Equations in the Presence of a Nuisance Parameter

open access: yesThe Annals of Statistics, 1974
Estimating equations for a real parameter $\theta$ which indexes a family of densities $p(x, \theta)$ were considered in the note by Godambe (Ann. Math. Statist. 31 (1960) 1208-1211). An optimality property of the equation $\partial \log p/\partial \theta = 0$ among unbiased estimating equations was established.
Godambe, V. P., Thompson, M. E.
openaire   +2 more sources

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

open access: yesEnergy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen   +4 more
wiley   +1 more source

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