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Peter Spirtes: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Alessio Moneta, Peter Spirtes
    Graphical Models for the Identification of Causal Structures in Multivariate Time Series Models. [Citation Graph (0, 0)][DBLP]
    JCIS, 2006, pp:- [Conf]
  2. Peter Spirtes, Christopher Meek
    Learning Bayesian Networks with Discrete Variables from Data. [Citation Graph (0, 0)][DBLP]
    KDD, 1995, pp:294-299 [Conf]
  3. Tianjiao Chu, Richard Scheines, Peter Spirtes
    Semi-Instrumental Variables: A Test for Instrument Admissibility. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:83-90 [Conf]
  4. Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes
    Learning Measurement Models for Unobserved Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:543-550 [Conf]
  5. Peter Spirtes
    Detecting Causal Relations in the Presence of Unmeasured Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:392-397 [Conf]
  6. Peter Spirtes
    Directed Cyclic Graphical Representations of Feedback Models. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:491-498 [Conf]
  7. Peter Spirtes, Christopher Meek, Thomas Richardson
    Causal Inference in the Presence of Latent Variables and Selection Bias. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:499-506 [Conf]
  8. Jiji Zhang, Peter Spirtes
    Strong Faithfulness and Uniform Consistency in Causal Inference. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:632-639 [Conf]
  9. Gregory F. Cooper, Constantin F. Aliferis, R. Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, G. Gordon, B. H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson, Peter Spirtes
    An evaluation of machine-learning methods for predicting pneumonia mortality. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1997, v:9, n:2, pp:107-138 [Journal]
  10. Tianjiao Chu, Clark Glymour, Richard Scheines, Peter Spirtes
    A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurements with Microarrays. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:9, pp:1147-1152 [Journal]
  11. Joseph Ramsey, Paul Gazis, Ted Roush, Peter Spirtes, Clark Glymour
    Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2002, v:6, n:3, pp:277-293 [Journal]
  12. Ricardo Silva, Richard Scheines, Clark Glymour, Peter Spirtes
    Learning the Structure of Linear Latent Variable Models. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:191-246 [Journal]
  13. Jiji Zhang, Peter Spirtes
    A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:667-674 [Conf]
  14. Ayesha R. Ali, Thomas Richardson, Peter Spirtes, Jiji Zhang
    Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:10-17 [Conf]
  15. Subramani Mani, Gregory F. Cooper, Peter Spirtes
    A Theoretical Study of Y Structures for Causal Discovery. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  16. Joseph Ramsey, Jiji Zhang, Peter Spirtes
    Adjacency-Faithfulness and Conservative Causal Inference. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]

  17. Discovering Cyclic Causal Models by Independent Components Analysis. [Citation Graph (, )][DBLP]

  18. Causal discovery of linear acyclic models with arbitrary distributions. [Citation Graph (, )][DBLP]

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