David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Synthese 180 (1):65 - 76 (2011)
Scientific and statistical inferences build heavily on explicit, parametric models, and often with good reasons. However, the limited scope of parametric models and the increasing complexity of the studied systems in modern science raise the risk of model misspecification. Therefore, I examine alternative, data-based inference techniques, such as bootstrap resampling. I argue that their neglect in the philosophical literature is unjustified: they suit some contexts of inquiry much better and use a more direct approach to scientific inference. Moreover, they make more parsimonious assumptions and often replace theoretical understanding and knowledge about mechanisms by careful experimental design. Thus, it is worthwhile to study in detail how nonparametric models serve as inferential engines in science
|Keywords||Models Data Inductive inference Nonparametric statistics Bootstrap resampling|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Clark Glymour (1980). Theory and Evidence. Princeton University Press.
Peter Godfrey-Smith (2006). The Strategy of Model-Based Science. Biology and Philosophy 21 (5):725-740.
D. G. Mayo & A. Spanos (2004). Methodology in Practice: Statistical Misspecification Practice. Philosophy of Science 71 (5).
Citations of this work BETA
Kent Staley (2012). Strategies for Securing Evidence Through Model Criticism. European Journal for Philosophy of Science 2 (1):21-43.
Similar books and articles
S. Ducheyne (2008). Towards an Ontology of Scientific Models. Metaphysica 9 (1):119-127.
Alisa Bokulich (2011). How Scientific Models Can Explain. Synthese 180 (1):33 - 45.
David Danks (2005). Scientific Coherence and the Fusion of Experimental Results. British Journal for the Philosophy of Science 56 (4):791-807.
Susan G. Sterrett (2002). Physical Models and Fundamental Laws: Using One Piece of the World to Tell About Another. [REVIEW] Mind and Society 3 (1):51-66.
Ronald N. Giere (1999). Using Models to Represent Reality. In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. 41--57.
Stephan Hartmann & Roman Frigg (2006). Models in Science. In Ed Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford.
Chuanfei Chin (2011). Models as Interpreters (with a Case Study From Pain Science). Studies in History and Philosophy of Science 42 (2):303-312.
Norbert Victor (1980). Medical Diagnostics with Nonparametric Allocation Rules. Theoretical Medicine and Bioethics 1 (1):85-94.
Added to index2009-05-18
Total downloads14 ( #120,617 of 1,102,093 )
Recent downloads (6 months)5 ( #68,222 of 1,102,093 )
How can I increase my downloads?