Simplicity and model selection

DOI10.1007/S13194-016-0137-1zbMath1385.62001OpenAlexW2295360705MaRDI QIDQ1705324

Guillaume Rochefort-Maranda

Publication date: 15 March 2018

Published in: European Journal for Philosophy of Science (Search for Journal in Brave)

Full work available at URL: http://philsci-archive.pitt.edu/13364/1/Simplicity_and_Model_Selection_published.pdf

zbMATH Keywords

model selectionsimplicitynonparametric models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) Foundations and philosophical topics in statistics (62A01) General nonlinear regression (62J02)

Cites Work

• Unnamed Item
• Ockham's razor, empirical complexity, and truth-finding efficiency
• Induction, algorithmic learning theory, and philosophy
• How to Tell When Simpler, More Unified, or LessAd HocTheories will Provide More Accurate Predictions
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Simplicity, Inference and Modelling
• An Introduction to Statistical Learning
• The elements of statistical learning. Data mining, inference, and prediction

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