Results 51 to 60 of about 284,614 (340)
Testing subspace Granger causality [PDF]
Econometrics and Statistics, 2019 Abstract The methodology of multivariate Granger non-causality testing at various horizons is extended to allow for inference on its directionality. Empirical manifestations of these subspaces are presented and useful interpretations for them are provided.
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Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
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New Insights into Signed Path Coefficient Granger Causality Analysis
Frontiers in Neuroinformatics, 2016 Granger causality analysis, as a time series analysis technique derived from econometrics, has been applied in an ever-increasing number of publications in the field of neuroscience, including fMRI, EEG/MEG, and fNIRS. The present study mainly focuses on
Jian Zhang +3 more
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Economic policy and confidence of economic agents – a causal relationship?
Review of Economic Perspectives, 2020 The purpose of this paper is to study whether innovations in monetary and fiscal policy are a leading indicator of future business and consumer confidence and reverse applying the panel Granger causality analysis to two periods in the history of the euro
Dajčman Silvo
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Meta‐GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility
Advanced Science, EarlyView.This study incorporated 14 210 individuals to perform a GWAS meta‐analysis of six semen quality traits. The GWAS meta‐analysis identifies 234 GWAS loci associated with semen quality traits. The incorporation with a functional genomics resource explains potential genetic regulation of ∼40% GWAS signals underlying semen quality traits.
Qing Lin +26 more
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Granger causality in the frequency domain: derivation and applications [PDF]
Revista Brasileira de Ensino de FísicaPhysicists are starting to work in areas where noisy signal analysis is required. In these fields, such as Economics, Neuroscience, and Physics, the notion of causality should be interpreted as a statistical measure.
Vinicius Lima +6 more
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Financial Innovation, 2021 This paper examines the high frequency multiscale relationships and nonlinear multiscale causality between Bitcoin, Ethereum, Monero, Dash, Ripple, and Litecoin. We apply nonlinear Granger causality and rolling window wavelet correlation (RWCC) to 15 min—
Walid Mensi +4 more
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Granger-Causality in Markov Switching Models [PDF]
SSRN Electronic Journal, 2006 In this paper we propose a new parametrisation of transition probabilities that allows us to characterize and test Granger-causality in Markov switching models by means of an appropriate specification of the transition matrix. Test for independence are also provided. We illustrate our methodology with an empirical application.
BILLIO, Monica, DI SANZO S.
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Advanced Science, EarlyView.This study clarifies the genetic patterns of paternal lineages across East Asia and Mainland Southeast Asia. Han populations are relatively homogeneous, whereas southern ethnolinguistic minorities display regional structures. Shared Y‐chromosome lineages indicate Neolithic expansions and extensive north‐south gene flow, supporting demic diffusion ...
Yunhui Liu +15 more
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International Journal of Electronic Commerce, 2019 The recent financial network analysis approach reveals that the topologies of financial markets have an important influence on market dynamics. However, the majority of existing Finance Big Data networks are built as undirected networks without ...
Yong Tang +3 more
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