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Realism versus instrumentalism in a new statistical framework

Gregory M. Mikkelson

Philosophy of Science 73 (4):440-447 (2006)

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Theory Status, Inductive Realism, and Approximate Truth: No Miracles, No Charades.Shelby D. Hunt - 2011 - International Studies in the Philosophy of Science 25 (2):159 - 178.details The concept of approximate truth plays a prominent role in most versions of scientific realism. However, adequately conceptualizing ?approximate truth? has proved challenging. This article argues that the goal of articulating the concept of approximate truth can be advanced by first investigating the processes by which science accords theories the status of accepted or rejected. Accordingly, this article uses a path diagram model as a visual heuristic for the purpose of showing the processes in science that are involved in determining (...) Download Export citation Bookmark
The problem of model selection and scientific realism.Stanislav Larski - unknowndetails This thesis has two goals. Firstly, we consider the problem of model selection for the purposes of prediction. In modern science predictive mathematical models are ubiquitous and can be found in such diverse fields as weather forecasting, economics, ecology, mathematical psychology, sociology, etc. It is often the case that for a given domain of inquiry there are several plausible models, and the issue then is how to discriminate between them – this is the problem of model selection. We consider approaches (...) Download Export citation Bookmark
The role of Bayesian philosophy within Bayesian model selection.Jan Sprenger - 2013 - European Journal for Philosophy of Science 3 (1):101-114.details Bayesian model selection has frequently been the focus of philosophical inquiry (e.g., Forster, Br J Philos Sci 46:399–424, 1995; Bandyopadhyay and Boik, Philos Sci 66:S390–S402, 1999; Dowe et al., Br J Philos Sci 58:709–754, 2007). This paper argues that Bayesian model selection procedures are very diverse in their inferential target and their justification, and substantiates this claim by means of case studies on three selected procedures: MML, BIC and DIC. Hence, there is no tight link between Bayesian model selection and (...) Download Export citation Bookmark 2 citations
Formal Methods in the Philosophy of Science.Leon Horsten & Igor Douven - 2008 - Studia Logica 89 (2):151-162.details In this article, we reflect on the use of formal methods in the philosophy of science. These are taken to comprise not just methods from logic broadly conceived, but also from other formal disciplines such as probability theory, game theory, and graph theory. We explain how formal modelling in the philosophy of science can shed light on difficult problems in this domain. Download Export citation Bookmark 11 citations
Simplicity and model selection.Guillaume Rochefort-Maranda - 2016 - European Journal for Philosophy of Science 6 (2):261-279.details In this paper I compare parametric and nonparametric regression models with the help of a simulated data set. Doing so, I have two main objectives. The first one is to differentiate five concepts of simplicity and assess their respective importance. The second one is to show that the scope of the existing philosophical literature on simplicity and model selection is too narrow because it does not take the nonparametric approach into account, S112–S123, 2002; Forster and Sober in The British Journal (...) Download Export citation Bookmark 10 citations

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