Causality and probability in the sciences / edited by Federica Russo and Jon Williamson.

Title
  1. Causality and probability in the sciences / edited by Federica Russo and Jon Williamson.
Published by
  1. London : College Publications, 2007.

Details

Additional authors
  1. Russo, Federica, 1978-
  2. Russo, Federica.
  3. Williamson, Jon.
Description
  1. vii, 543 p. : ill.; 23 cm.
Series statement
  1. Texts in philosophy ; v. 5
Uniform title
  1. Texts in philosophy ; v. 5.
Subject
  1. Causality
  2. Causation > Congresses
  3. Models, Statistical
  4. Philosophy
  5. Probabilities > Congresses
  6. Probability
  7. Science
  8. Science > Philosophy > Congresses
Genre/Form
  1. Conference papers and proceedings
  2. Conference papers and proceedings.
  3. Congress
Contents
  1. An integral approach to causal inference with latent variables / Sam Maes, Stijn Meganck, Philippe Leray -- Integrating Bayesian networks and Simpson's paradox in data mining / Alex A. Freitas, Ken McGarry, Elon Correa -- Causal inference in quantum mechanics : a reassessment / Mauricio Suárez -- Mediating between causes and probabilities : the use of graphical models in econometrics / Alessio Moneta -- Causality in economics / Stephen Leroy -- Causality, mechanisms and modularity : structural models in econometrics / Damien Fennell -- Time series, nonsense correlations and the principle of the common cause / Julian Reiss -- Conceptual tools for causal analysis in the social sciences / Erik Weber -- Interpreting probability in causal models for cancer / Federica Russo and Jon Williamson -- Galton's blinding glasses : modern statistics hiding causal structure in early theories of inheritance / Bert Leuridian -- Mendelian randomisation : why epidemiology needs a formal language for causality / Vanessa Didelez and Nuala A. Sheehan -- The causal roots of probability / Marianne Belis -- Causality and the axiomatic probability calculus / Andrea L'Episcopo -- Two probabilities of dysfunction and two kinds of chance / Françoise Longy -- Causal dualism : which position? Which arguments? / Monika M. Dullstein -- Can one deny both causation by omission and causal pluralism? The case of legal causation / Amit Pundik -- A conditional view of causality / Friedel Weinert -- The inference of common cause naturalized / Aviezer Tucker -- Contexts for causal models / Margherita Benzi -- Causal inference : how can Bayesian networks contribute? / Isabelle Drouet -- Counterfactuals, hypotheticals and potential responses : a philosophical examination of statistical causality / A. Philip Dawid.
Note
  1. Many papers in this volume were presented at the associated conference ICausality and probability in the sciences, held at the University of Kent at Canterbury, June 2004 -- preface.
Bibliography (note)
  1. Includes bibliographical references and index.
Processing action (note)
  1. committed to retain