Bayesian nets and causality

Abstract

How should we reason with causal relationships? Much recent work on this question has been devoted to the theses (i) that Bayesian nets provide a calculus for causal reasoning and (ii) that we can learn causal relationships by the automated learning of Bayesian nets from observational data. The aim of this book is to..

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 76,297

External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Analytics

Added to PP
2009-01-28

Downloads
32 (#367,193)

6 months
1 (#450,425)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Jon Williamson
University of Kent

Citations of this work

Interpreting causality in the health sciences.Federica Russo & Jon Williamson - 2007 - International Studies in the Philosophy of Science 21 (2):157 – 170.
Inference to the Best explanation.Peter Lipton - 2004 - In Martin Curd & Stathis Psillos (eds.), The Routledge Companion to Philosophy of Science. Routledge. pp. 193.
Causal graphs and biological mechanisms.Alexander Gebharter & Marie I. Kaiser - 2014 - In Marie I. Kaiser, Oliver Scholz, Daniel Plenge & Andreas Hüttemann (eds.), Explanation in the special sciences: The case of biology and history. Dordrecht: Springer. pp. 55-86.
Evolutionary Epistemology and the Aim of Science.Darrell Patrick Rowbottom - 2010 - Australasian Journal of Philosophy 88 (2):209-225.

View all 34 citations / Add more citations

References found in this work

No references found.

Add more references