Literature DB >> 27313331

What Is Going on Inside the Arrows? Discovering the Hidden Springs in Causal Models.

Alexander Murray-Watters1, Clark Glymour1.   

Abstract

Using Gebharter's (2014) representation, we consider aspects of the problem of discovering the structure of unmeasured sub-mechanisms when the variables in those sub-mechanisms have not been measured. Exploiting an early insight of Sober's (1998), we provide a correct algorithm for identifying latent, endogenous structure-sub-mechanisms-for a restricted class of structures. The algorithm can be merged with other methods for discovering causal relations among unmeasured variables, and feedback relations between measured variables and unobserved causes can sometimes be learned.

Entities:  

Year:  2015        PMID: 27313331      PMCID: PMC4905594          DOI: 10.1086/682962

Source DB:  PubMed          Journal:  Philos Sci        ISSN: 0031-8248            Impact factor:   1.317


  2 in total

1.  Tracking executive function across the transition to school: a latent variable approach.

Authors:  Claire Hughes; Rosie Ensor; Anji Wilson; Andrew Graham
Journal:  Dev Neuropsychol       Date:  2010       Impact factor: 2.253

2.  Integrated genomic analyses of ovarian carcinoma.

Authors: 
Journal:  Nature       Date:  2011-06-29       Impact factor: 49.962

  2 in total
  1 in total

1.  A Hybrid Causal Search Algorithm for Latent Variable Models.

Authors:  Juan Miguel Ogarrio; Peter Spirtes; Joe Ramsey
Journal:  JMLR Workshop Conf Proc       Date:  2016-08
  1 in total

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