Conceptualistic Pragmatism: A framework for Bayesian analysis?

@article{Bergman2008ConceptualisticPA,
  title={Conceptualistic Pragmatism: A framework for Bayesian analysis?},
  author={Bo Bergman},
  journal={IIE Transactions},
  year={2008},
  volume={41},
  pages={86 - 93}
}
  • B. Bergman
  • Published 7 November 2008
  • Philosophy
  • IIE Transactions
This paper argues for an extended framework for the subjectivist approach to statistical decision making—the judgements made for deriving a likelihood function should be carefully reflected upon. The Harvard professor of philosophy Clarence I. Lewis did offer a philosophical action-oriented framework for this type of reflection. The philosophy of Lewis has very much influenced the originators of the quality movement. This constitutes an interesting link between two important learning-oriented… 
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References

SHOWING 1-10 OF 47 REFERENCES

Prediction and pragmatism in Shewhart’s theory of statistical control

Dr W.A. Shewhart, “founder” of the modern quality movement and inventor of the control chart, was greatly influenced by the pragmatist philosopher, C.I. Lewis. However, Lewis's influence is less…

Sampling and Bayes' inference in scientific modelling and robustness

TLDR
Predictive checking functions for transformation, serial correlation, bad values, and their relation with Bayesian options are considered, and robustness is seen from a Bayesian viewpoint and examples are given.

The Subjectivity of Scientists and the Bayesian Approach: Press/The Subjectivity

TLDR
This chapter discusses Subjectivity in Science in Modern Times: The Bayesian Approach, a Field of Application for Bayesian Statistical Science, and some well-Known Stories of Extreme Subjectivity.

A Theory of Knowledge

THE distinguished author of “Why the Mind has a Body” is one of the most original and fearless philosophers of the school which labels itself “Critical Realism.” The present short volume, though it…

Statistical Method from the Viewpoint of Quality Control

FOR many years Dr. Shewhart has concerned himself with the development of statistical methods in the practical business of quality control in mass production. This latest publication covers old…

The Structure of Scientific Revolutions

A good book may have the power to change the way we see the world, but a great book actually becomes part of our daily consciousness, pervading our thinking to the point that we take it for granted,…

The Subjectivity of Scientists and the Bayesian Approach

TLDR
This book is a good starting point for learning about Bayesian methodology and also to those already familiar with Bayesian techniques as a helpful guide to developing proŽ ciency in using BUGS.

The Social Construction of What

Often lost in the debate over the validity of social construction is the question of what is being constructed. Particularly troublesome in this area is the status of the natural sciences, where…

In weak statistical control

There are usually two distinct objectives to attain a process in statistical control, including economic aspects, and predictability. While both objectives are important from a statistical quality…

Foundations of statistical quality control

The origins of statistical quality control are first reviewed relative to the concept of statistical control. A recent Bayesian approach developed at ATT namely i) variation due to chance causes…