Model Selection in Science
The Problem of Language Variance
Bibliographic Data
| ID | 8399393 |
|---|---|
| Authors | Marc R Forster (0000-0003-4732-1330, University of Wisconsin–Madison, corresponding author) |
| Year | 1999 |
| Volume | 50 |
| Issue | 1 |
| Pages | 83-102 |
| Publication date | 1999-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | The British Journal for the Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0007-0882 • E-ISSN: 1464-3537 |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/bjps/50.1.83 |
| OpenAlex | W2009923754 |
| Language | EN |
| Citations received | 6 |
| References cited | 12 |
Recent solutions to the curve-fitting problem, described in Forster and Sober ([1995]), trade off the simplicity and fit of hypotheses by defining simplicity as the paucity of adjustable parameters. Scott De Vito ([1997]) charges that these solutions are 'conventional' because he thinks that the number of adjustable parameters may change when the hypotheses are described differently. This he believes is exactly what is illustrated in Goodman's new riddle of induction, otherwise known as the grue problem. However, the 'number of adjustable parameters' is actually a loose way of referring to a quantity that is not language dependent. The quantity arises out of Akaike's theorem in a way that ensures its language invariance.
Akaike information criterion · Economics · Epistemology · Mathematical economics · Model selection · Selection (genetic algorithm) · Simple (philosophy) · Simplicity · Statistics · Variance (accounting) · Artificial Intelligence · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Philosophy · Philosophy and History of Science · Scientific Computing and Data Management
On Information and Sufficiency
Estimating the Dimension of a Model
The Golfer's Dilemma
The accuracy of predictions
Gruesome Simplicity
A Gruesome Problem for the Curve-Fitting Solution
Bayes and Bust
How to Tell When Simpler, More Unified, or Less Ad Hoc Theories will Provide More Accurate Predictions
Akaike Information Criterion, Curve-fitting, and the Philosophical Problem of Simplicity
Variation and the Accuracy of Predictions
Forster and Sober on the Curve-Fitting Problem
| Unique citing works | 6 |
|---|---|
| Citations per year | 0,24 |
| Citation span | 2001 - 2024 (24) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |