Graduate studies at Western
In Paul Humphreys (ed.), Patrick Suppes, Scientific Philosopher Vol. 1: Probability and Probabilistic Causality. Kluwer (1994)
|Abstract||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)|
|Through your library||Configure|
Similar books and articles
Fabio G. Cozman (2012). Sets of Probability Distributions, Independence, and Convexity. Synthese 186 (2):577-600.
Wolfgang Spohn (1988). Ordinal Conditional Functions. A Dynamic Theory of Epistemic States. In W. L. Harper & B. Skyrms (eds.), Causation in Decision, Belief Change, and Statistics, vol. II. Kluwer.
Christopher S. I. Mccurdy (1996). Humphrey's Paradox and the Interpretation of Inverse Conditional Propensities. Synthese 108 (1):105 - 125.
Hannes Leitgeb (2007). Beliefs in Conditionals Vs. Conditional Beliefs. Topoi 26 (1):115-132.
Wolfgang Spohn (1980). Stochastic Independence, Causal Independence, and Shieldability. Journal of Philosophical Logic 9 (1):73 - 99.
Charles G. Morgan (1999). Conditionals, Comparative Probability, and Triviality: The Conditional of Conditional Probability Cannot Be Represented in the Object Language. Topoi 18 (2):97-116.
Added to index2010-07-24
Total downloads11 ( #107,564 of 740,404 )
Recent downloads (6 months)1 ( #61,960 of 740,404 )
How can I increase my downloads?