Predictive inference with random forests: A new perspective on classical analyses
Despite the number of problems that can occur when core model assumptions are violated, nearly all quantitative political science research relies on inflexible regression models that require a linear relationship between dependent and independent variables for valid inference. We argue that nonparam...
Main Authors: | Richard J. McAlexander, Lucas Mentch |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2020-02-01
|
Series: | Research & Politics |
Online Access: | https://doi.org/10.1177/2053168020905487 |
Similar Items
-
Genomic sequence analyses of classical and non-classical lamprey progesterone receptor genes and the inference of homologous gene evolution in metazoans
by: Jianfeng Ren, et al.
Published: (2019-07-01) -
Structure and inference in classical planning
by: Lipovetzky, Nir
Published: (2012) -
Deep Inference and Symmetry in Classical Proofs
by: Brünnler, Kai
Published: (2003) -
On Racial Disparities in Recent Fatal Police Shootings
by: Lucas Mentch
Published: (2020-01-01) -
Synthetic Studies of Laulimalide Analogues
by: McAlexander, Ian Addison
Published: (2009)