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Volumn 33, Issue 12, 2011, Pages 2436-2450

Causal inference on discrete data using additive noise models

Author keywords

Causal inference; graphical models; regression

Indexed keywords

CAUSAL INFERENCE; CONTINUOUS VARIABLES; DISCRETE DATA; DISCRETE VARIABLES; EFFICIENT ALGORITHM; FINITE SAMPLES; GRAPHICAL MODEL; JOINT DISTRIBUTIONS; REGRESSION; SYNTHETIC AND REAL DATA;

EID: 80053158210     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.71     Document Type: Article
Times cited : (145)

References (22)
  • 2
    • 80054878418 scopus 로고    scopus 로고
    • preparation
    • R. Armann and I. Bü lthoff, in preparation, https://webdav. tuebingen.mpg.de/cause-effect/, 2010.
    • (2010) Lthoff
    • Armann, R.1    Bü, I.2
  • 4
    • 0000642942 scopus 로고
    • Some methods for strengthening the common-2 tests
    • W.G. Cochran, "Some Methods for Strengthening the Common-2 Tests," Biometrics, vol. 10, pp. 417-451, 1954.
    • (1954) Biometrics , vol.10 , pp. 417-451
    • Cochran, W.G.1
  • 5
    • 67651248728 scopus 로고    scopus 로고
    • Application of rough sets in the presumptive diagnosis of urinary system diseases
    • Kluwer Academic Publishers
    • J. Czerniak and H. Zarzycki, "Application of Rough Sets in the Presumptive Diagnosis of Urinary System Diseases," Artificial Intelligence and Security in Computing Systems, pp. 41-51, Kluwer Academic Publishers, 2003.
    • (2003) Artificial Intelligence and Security in Computing Systems , pp. 41-51
    • Czerniak, J.1    Zarzycki, H.2
  • 6
    • 0012315692 scopus 로고    scopus 로고
    • A bayesian approach to causal discovery
    • C. Glymour and G. Cooper, eds. MIT Press
    • D. Heckerman, C. Meek, and G. Cooper, "A Bayesian Approach to Causal Discovery," Computation, Causation, and Discovery, C. Glymour and G. Cooper, eds., pp. 141-165, MIT Press, 1999.
    • (1999) Computation, Causation, and Discovery , pp. 141-165
    • Heckerman, D.1    Meek, C.2    Cooper, G.3
  • 9
    • 80053147274 scopus 로고    scopus 로고
    • Justifying Additive-Noise-Model Based Causal Discovery via Algorithmic Information Theory
    • D. Janzing and B. Steudel, "Justifying Additive-Noise-Model Based Causal Discovery via Algorithmic Information Theory," Open Systems and Information Dynamics, vol. 17, pp. 189-212, 2010.
    • (2010) Open Systems and Information Dynamics , vol.17 , pp. 189-212
    • Janzing, D.1    Steudel, B.2
  • 19
    • 40649092250 scopus 로고    scopus 로고
    • Causal reasoning by evaluating the complexity of conditional densities with kernel methods
    • X. Sun, D. Janzing, and B. Schö lkopf, "Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods," Neurocomputing, vol. 71, pp. 1248-1256, 2008.
    • (2008) Neurocomputing , vol.71 , pp. 1248-1256
    • Sun, X.1    Janzing, D.2    Schölkopf, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.