Cognitive Constructivism, Eigen-Solutions, and Sharp Statistical Hypotheses
نویسنده
چکیده
In this paper epistemological, ontological and sociological questions concerning the statistical significance of sharp hypotheses in scientific research are investigated within the framework provided by Cognitive Constructivism and the FBST (Full Bayesian Significance Test). The constructivist framework is contrasted with the traditional epistemological settings for orthodox Bayesian and frequentist statistics provided by Decision Theory and Falsificationism.
منابع مشابه
Cognitive Constructivism , Eigen - Solutions , and Sharp Statistical Hypotheses . FIS - 2005 , ENSTA , Paris , 4 - 7 July 2005
Belief Calculus, ABC, see Darwiche, Ginsberg (1992), and Stern (2003). 〈Φ,⊕, 〉 , Support Structure, Φ , Support Function, for statements on U. Null and full support values are 0 and 1. ⊕ , Support Summation operator, , Support Scaling or Conditionalization, 〈Φ,⊕〉 , Partial Support Structure. ⊕, gives the support value of the disjunction of any two logically disjoint statements from their indivi...
متن کاملConstructive Verification, Empirical Induction, and Falibilist Deduction: A Threefold Contrast
This article explores some open questions related to the problem of verification of theories in the context of empirical sciences by contrasting three epistemological frameworks. Each of these epistemological frameworks is based on a corresponding central metaphor, namely: (a) Neo-empiricism and the gambling metaphor; (b) Popperian falsificationism and the scientific tribunal metaphor; (c) Cogn...
متن کاملSpencer-Brown vs. Probability and Statistics: Entropy's Testimony on Subjective and Objective Randomness
This article analyzes the role of entropy in Bayesian statistics, focusing on its use as a tool for detection, recognition and validation of eigen-solutions. “Objects as eigen-solutions” is a key metaphor of the cognitive constructivism epistemological framework developed by the philosopher Heinz von Foerster. Special attention is given to some objections to the concepts of probability, statist...
متن کاملDecoupling, Sparsity, Randomization, and Objective Bayesian Inference
Decoupling is a general principle that allows us to separate simple components in a complex system. In statistics, decoupling is often expressed as independence, no association, or zero covariance relations. These relations are sharp statistical hypotheses, that can be tested using the FBST Full Bayesian Significance Test. Decoupling relations can also be introduced by some techniques of Design...
متن کاملCognitive Constructivism and the Epistemic Significance of Sharp Statistical Hypotheses
Belief Calculus, ABC, see Darwiche, Ginsberg (1992), and Stern (2003). 〈Φ,⊕, 〉 , Support Structure, Φ , Support Function, for statements on U. Null and full support values are 0 and 1. ⊕ , Support Summation operator, , Support Scaling or Conditionalization, 〈Φ,⊕〉 , Partial Support Structure. ⊕, gives the support value of the disjunction of any two logically disjoint statements from their indivi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Cybernetics and Human Knowing
دوره 14 شماره
صفحات -
تاریخ انتشار 2007