Machine learning for social science: An agnostic approach
J Grimmer, ME Roberts… - Annual Review of Political …, 2021 - annualreviews.org
Social scientists are now in an era of data abundance, and machine learning tools are
increasingly used to extract meaning from data sets both massive and small. We explain …
increasingly used to extract meaning from data sets both massive and small. We explain …
An extensive experimental survey of regression methods
Regression is a very relevant problem in machine learning, with many different available
approaches. The current work presents a comparison of a large collection composed by 77 …
approaches. The current work presents a comparison of a large collection composed by 77 …
Effects of possible changes in natural gas, nuclear, and coal energy consumption on CO2 emissions: evidence from France under Russia's gas supply cuts by …
The study explores the influences of potential changes in energy consumption on carbon
dioxide (CO 2) emissions, focusing on disaggregated energy consumption sources. In this …
dioxide (CO 2) emissions, focusing on disaggregated energy consumption sources. In this …
The impact of renewable and non-renewable energy consumption on carbon emission intensity in China: Fresh evidence from novel dynamic ARDL simulations
Given the dire state of global warming, it is critical to investigate the elements that influence
carbon emissions intensity and to precisely monitor progress in carbon emissions intensity …
carbon emissions intensity and to precisely monitor progress in carbon emissions intensity …
Environmental concerns in the United States: Can renewable energy, fossil fuel energy, and natural resources depletion help?
Abstract The United States is the second-largest polluter in the world, producing 4.7 billion
metric tonnes of carbon dioxide in 2020. At the Leaders' Climate Summit, the US president …
metric tonnes of carbon dioxide in 2020. At the Leaders' Climate Summit, the US president …
Combined nonlinear effects of urbanization and economic growth on CO2 emissions in Malaysia. An application of QARDL and KRLS
Despite adequate literature on the nonlinear nexus between economic growth-environment
and urbanization-environment in Malaysia, yet study on the combined nonlinear effect is …
and urbanization-environment in Malaysia, yet study on the combined nonlinear effect is …
Is reducing fossil fuel intensity important for environmental management and ensuring ecological efficiency in China?
Since China is a country with high environmental pollution, researchers have intensively
studied China's environmental problems using various environmental indicators such as …
studied China's environmental problems using various environmental indicators such as …
[HTML][HTML] Environmental benefits of nonrenewable energy efficiency and renewable energy intensity in the USA and EU: examining the role of clean technologies
Abstract Given that the United States of America and European Union are among the world's
top greenhouse gas emitting economies, it poses yet to be answered questions on whether …
top greenhouse gas emitting economies, it poses yet to be answered questions on whether …
Do natural resources, economic growth, human capital, and urbanization affect the ecological footprint? A modified dynamic ARDL and KRLS approach
The interaction between the abundance of natural resources and environmental depletion
has significant ecological consequences. Nonetheless, this area is not adequately studied …
has significant ecological consequences. Nonetheless, this area is not adequately studied …
Political trust during the Covid‐19 pandemic: Rally around the flag or lockdown effects?
D Schraff - European journal of political research, 2021 - Wiley Online Library
How can we explain the rise in diffuse political support during the Covid‐19 pandemic?
Recent research has argued that the lockdown measures generated political support. In …
Recent research has argued that the lockdown measures generated political support. In …