In Paul Humphreys (ed.), Patrick Suppes, Scientific Philosopher Vol. 1: Probability and Probabilistic Causality. Kluwer Academic Publishers (1994)
As the paper explains, it is crucial to epistemology in general and to the theory of causation in particular to investigate the properties of conditional independence as completely as possible. The paper summarizes the most important results concerning conditional independence with respect to two important representations of epistemic states, namely (strictly positive) probability measures and natural conditional (or disbelief or ranking) functions. It finally adds some new observations.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Sets of Probability Distributions, Independence, and Convexity.Fabio G. Cozman - 2012 - Synthese 186 (2):577-600.
Conditionals, Comparative Probability, and Triviality: The Conditional of Conditional Probability Cannot Be Represented in the Object Language.Charles G. Morgan - 1999 - Topoi 18 (2):97-116.
Stochastic Independence, Causal Independence, and Shieldability.Wolfgang Spohn - 1980 - Journal of Philosophical Logic 9 (1):73 - 99.
Humphrey's Paradox and the Interpretation of Inverse Conditional Propensities.Christopher S. I. Mccurdy - 1996 - Synthese 108 (1):105 - 125.
Ordinal Conditional Functions. A Dynamic Theory of Epistemic States.Wolfgang Spohn - 1988 - In W. L. Harper & B. Skyrms (eds.), Causation in Decision, Belief Change, and Statistics, vol. II. Kluwer Academic Publishers.
Added to index2010-07-24
Total downloads23 ( #218,594 of 2,169,071 )
Recent downloads (6 months)2 ( #186,783 of 2,169,071 )
How can I increase my downloads?