PhilSci Archive

Correlation Isn’t Good Enough: Causal Explanation and Big Data

Cabrera, Frank (2020) Correlation Isn’t Good Enough: Causal Explanation and Big Data. Metascience. ISSN 0815-0796

[img]
Preview
Text
CABCIEv1.docx.pdf

Download (116kB) | Preview

Abstract

A review of Gary Smith and Jay Cordes: The Phantom Pattern Problem: The Mirage of Big Data. New York: Oxford University Press, 2020.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Cabrera, Frank
Keywords: Big Data Causal Explanation Pattern-Recognition Predictive Inference Scientific Method
Subjects: General Issues > Data
General Issues > Causation
General Issues > Confirmation/Induction
General Issues > Explanation
Specific Sciences > Artificial Intelligence > Machine Learning
General Issues > Technology
Depositing User: Frank Cabrera
Date Deposited: 06 Feb 2021 21:11
Last Modified: 06 Feb 2021 21:11
Item ID: 18679
Journal or Publication Title: Metascience
Publisher: Springer
Subjects: General Issues > Data
General Issues > Causation
General Issues > Confirmation/Induction
General Issues > Explanation
Specific Sciences > Artificial Intelligence > Machine Learning
General Issues > Technology
Date: 2020
ISSN: 0815-0796
URI: http://philsci-archive.pitt.edu/id/eprint/18679

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item