Add to ORKGThis 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, statistics and randomization posed by George Spencer-Brown, a figure of great influence in the field of radical constructivism
In previous work, we studied four well known systems of qualitative probabilistic inference, and pre...
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabil...
AbstractThis paper is a sequel to an earlier result of the authors that in making inferences from ce...
This article analyzes the role of entropy in Bayesian statistics, focusing on its use as a tool for ...
The Principle of Maximum Entropy is often used to update probabilities due to evidence instead of pe...
Psychological research has found that human perception of randomness is biased. In particular, peopl...
In this paper epistemological, ontological and sociological questions concerning the statistical sig...
This paper is a review of a particular approach to the method of maximum entropy as a general framew...
Decoupling is a general principle that allows us to separate simple components in a complex system. ...
The article survey the development of the concept of entropy in probability and deterministic chao
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabil...
Given a probability space, we analyze the uncertainty, that is, the amount of information of a finit...
The Principle of Maximum Entropy is often used to update probabilities due to evidence instead of pe...
We give a survey of the basic statistical ideas underlying the definition of entropy in information...
Criticisms of so called `subjective probability' come on the one hand from those who maintain that p...
In previous work, we studied four well known systems of qualitative probabilistic inference, and pre...
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabil...
AbstractThis paper is a sequel to an earlier result of the authors that in making inferences from ce...
This article analyzes the role of entropy in Bayesian statistics, focusing on its use as a tool for ...
The Principle of Maximum Entropy is often used to update probabilities due to evidence instead of pe...
Psychological research has found that human perception of randomness is biased. In particular, peopl...
In this paper epistemological, ontological and sociological questions concerning the statistical sig...
This paper is a review of a particular approach to the method of maximum entropy as a general framew...
Decoupling is a general principle that allows us to separate simple components in a complex system. ...
The article survey the development of the concept of entropy in probability and deterministic chao
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabil...
Given a probability space, we analyze the uncertainty, that is, the amount of information of a finit...
The Principle of Maximum Entropy is often used to update probabilities due to evidence instead of pe...
We give a survey of the basic statistical ideas underlying the definition of entropy in information...
Criticisms of so called `subjective probability' come on the one hand from those who maintain that p...
In previous work, we studied four well known systems of qualitative probabilistic inference, and pre...
Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabil...
AbstractThis paper is a sequel to an earlier result of the authors that in making inferences from ce...