Cargando…
Heuristics as Bayesian inference under extreme priors
Simple heuristics are often regarded as tractable decision strategies because they ignore a great deal of information in the input data. One puzzle is why heuristics can outperform full-information models, such as linear regression, which make full use of the available information. These “less-is-mo...
Autores principales: | Parpart, Paula, Jones, Matt, Love, Bradley C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886040/ https://www.ncbi.nlm.nih.gov/pubmed/29500961 http://dx.doi.org/10.1016/j.cogpsych.2017.11.006 |
Ejemplares similares
-
Fast or Frugal, but Not Both: Decision Heuristics Under Time Pressure
por: Bobadilla-Suarez, Sebastian, et al.
Publicado: (2017) -
Bayesian Inference in Auditing with Partial Prior Information Using Maximum Entropy Priors
por: Martel-Escobar, María, et al.
Publicado: (2018) -
Robust priors for regularized regression
por: Bobadilla-Suarez, Sebastian, et al.
Publicado: (2022) -
Inference of epigenetic subnetworks by Bayesian regression with the incorporation of prior information
por: Jing, Anqi, et al.
Publicado: (2022) -
The evolutionary origin of Bayesian heuristics and finite memory
por: Lo, Andrew W., et al.
Publicado: (2021)