AIMC Topic: Models, Econometric

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Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models.

Environmental science and pollution research international Feb 15, 2024
Accurately predicting future carbon emissions is of great significance for the government to scientifically promote carbon emission reduction policies. Among the current technologies for forecasting carbon emissions, the most prominent ones are econo...
Neural Networks, Computer Machine Learning Forecasting Deep Learning China Carbon Models, Econometric
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Towards inclusive green growth: does digital economy matter?

Environmental science and pollution research international May 6, 2023
In this decade, China has been pursuing an inclusive green growth strategy. Concurrently, the digital economy, which relies on the Internet of Things, big data, and artificial intelligence, has experienced explosive growth in China. The digital econo...
Artificial Intelligence Algorithms China Cities Economic Development Models, Econometric Resource Allocation
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Sensitivity Analysis and Extensions of Testing the Causal Direction of Dependence: A Rejoinder to Thoemmes (2019).

Multivariate behavioral research Sep 23, 2019
A commentary by Thoemmes on Wiedermann and Sebastian's introductory article on Direction Dependence Analysis (DDA) is responded to in the interest of elaborating and extending direction dependence principles to evaluate causal effect directionality. ...
Humans Machine Learning Sensitivity and Specificity Models, Theoretical Causality Models, Statistical Psychology Linear Models Models, Econometric
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Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
An important informatics tool for controlling healthcare costs is accurately predicting the likely future healthcare costs of individuals. To address this important need, we conducted a systematic literature review and identified five methods for pre...
Neural Networks, Computer Forecasting Supervised Machine Learning Costs and Cost Analysis Health Care Costs Models, Econometric
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