Results 11 to 20 of about 26,118,825 (339)
A study of problems encountered in Granger causality analysis from a neuroscience perspective [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2017 Significance Granger causality analysis is a statistical method for investigating the flow of information between time series. Granger causality has become more widely applied in neuroscience, due to its ability to characterize oscillatory and ...
P. Stokes, P. Purdon
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Environmental Research Letters, 2023 Correlation analysis is the common method to evaluate the relationship between two variables; however, it may sometimes cause spurious correlations. Specifically, in the field of hydrometeorology, with the impacts of climate change and human activities ...
Zhaoqiang Zhou +8 more
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A Data-Driven Fault Tree for a Time Causality Analysis in an Aging System
Algorithms, 2022 This paper develops a data-driven fault tree methodology that addresses the problem of the fault prognosis of an aging system based on an interpretable time causality analysis model. The model merges the concepts of knowledge discovery in the dataset and
Kerelous Waghen, Mohamed-Salah Ouali
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The Combined Impacts of ENSO and IOD on Global Seasonal Droughts
Atmosphere, 2022 Previous studies have revealed that global droughts are significantly affected by different types of El Niño–Southern Oscillation (ENSO) events. However, quantifying the temporal and spatial characteristics of global droughts, particularly those ...
Hao Yin +5 more
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Sosyal Ekonomik Araştırmalar Dergisi, 2022 Amaç – Çalışmada G8 ülkeleri ve Türkiye için ekonomik karmaşıklık ve ekolojik ayak izi arasındaki ilişki incelenmektedir. Yöntem – 1995-2017 dönemi ekonomik karmaşıklık endeksi ve ekolojik ayak izi verileri kullanılmış, Toda-Yamamoto nedensellik ...
Çağla Bucak
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The Effect of Uncertains in European Economic Policies on the BIST 100 Index
Ekonomi, Politika & Finans Araştırmaları Dergisi, 2021 Uncertainties are one of the factors affecting investors' investment decisions. In accordance with the wait-and-see policy, which is the best option for investors in an uncertain environment, investors can postpone their investment and consumption ...
Hakan Yıldırım, Saffet Akdağ
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Journal of Intelligent Manufacturing, 2022 The complexity of industrial processes imposes a lot of challenges in building accurate and representative causal models for abnormal events diagnosis, control and maintenance of equipment and process units.
Karim Nadim, A. Ragab, M. Ouali
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CAUSAL ANALYSIS AFTER HAAVELMO [PDF]
Econometric Theory, 2013 Haavelmo’s seminal 1943 and 1944 papers are the first rigorous treatment of causality. In them, he distinguished the definition of causal parameters from their identification. He showed that causal parameters are defined usinghypotheticalmodels that assign variation to some of the inputs determining outcomes while holding all other inputs fixed.
James Heckman, Rodrigo Pinto
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Market share and efficiency: Causality test in Indonesian general insurance industry
Jurnal Ekonomi & Studi Pembangunan, 2023 This study aims to analyze the relationship between market share and technical efficiency in the Indonesian general insurance industry. The data for the period 2010-2020 is used, which was obtained from the Indonesian Financial Services Authority (OJK ...
Iqram Ramadhan Jamil, Maman Setiawan
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Generalized Causal Mediation Analysis [PDF]
Biometrics, 2011 The goal of mediation analysis is to assess direct and indirect effects of a treatment or exposure on an outcome. More generally, we may be interested in the context of a causal model as characterized by a directed acyclic graph (DAG), where mediation via a specific path from exposure to outcome may involve an arbitrary number of links (or "stages ...
Albert, Jeffrey M., Nelson, Suchitra
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