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Medium and Long-Term Hydrogen Load Prediction Based on System Dynamics
Zhongguo dianli, 2023 Hydrogen energy will play a great role in various fields under the background of “double carbon”, it is important to carry out medium and long-term forecasting of hydrogen demand, and propose a medium and long-term forecasting model of provincial ...
Tiejiang YUAN +3 more
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Tourism Development During the Pandemic of Coronavirus (COVID-19): Evidence From Iran
Frontiers in Public Health, 2022 The coronavirus (COVID-19) epidemic has created a great deal of fear and uncertainty about health, economy, and social life. Therefore, the health, social, and economic impacts of COVID-19 are of great importance.
Zeynab Hallaj +4 more
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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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Machine Learning Incorporated With Causal Analysis for Short-Term Prediction of Sea Ice
Frontiers in Marine Science, 2021 Accurate and fast prediction of sea ice conditions is the foundation of safety guarantee for Arctic navigation. Aiming at the imperious demand of short-term prediction for sea ice, we develop a new data-driven prediction technique for the sea ice ...
Ming Li +3 more
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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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ISPRS International Journal of Geo-Information, 2023 Exploring spatiotemporal patterns of traffic accidents from historic crash databases is one essential prerequisite for road safety management and traffic risk prevention.
Yunfei Zhang +4 more
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International economic and social determinants of the state economic security: A causal analysis [PDF]
Problems and Perspectives in Management, 2021 The priority task for ensuring the economic security of a country, which is especially noticeable in the rapidly changing conditions of the contemporary global world, is to forecast challenges and threats.
Volodymyr Orlov +3 more
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Use of causal analysis to improve the monitoring of the banking system stability [PDF]
Banks and Bank Systems, 2018 According to the stages of the banking system stability monitoring, the analysis of caus¬al links is used to identify the causes of the crisis trends spreading and the rationale for the most effective levers of regulatory influence on the banking system ...
Oleh Kolodiziev +2 more
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Prediction and Explanation in a Postmodern World
Frontiers in Psychology, 2020 The experimental research paradigm lies at the core of empirical psychology. New data analytical and computational tools continually enrich its methodological arsenal, while the paradigm’s mission remains the testing of theoretical predictions and causal
Joachim I. Krueger
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Retrospective Pretest and Counterfactual Self-Report: Different or Same?
Journal of MultiDisciplinary Evaluation, 2019 Purpose: To examine discriminant validity of treatment participants’ self-report of the state they would be in had they not received treatment (counterfactual); specifically, the distinction between self-report of counterfactual and self-report of ...
Tony C.M. Lam, Edgar Valencia
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