Comment on: A non-parametric spatial independence test using symbolic entropy
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DOI: 10.1016/j.regsciurbeco.2013.04.007
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References listed on IDEAS
- Jenish, Nazgul & Prucha, Ingmar R., 2009. "Central limit theorems and uniform laws of large numbers for arrays of random fields," Journal of Econometrics, Elsevier, vol. 150(1), pages 86-98, May.
- López, Fernando & Matilla-García, Mariano & Mur, Jesús & Marín, Manuel Ruiz, 2010. "A non-parametric spatial independence test using symbolic entropy," Regional Science and Urban Economics, Elsevier, vol. 40(2-3), pages 106-115, May.
- repec:onb:oenbwp:y::i:165:b:1 is not listed on IDEAS
- Helmut Elsinger, 2010. "Independence Tests based on Symbolic Dynamics," Working Papers 165, Oesterreichische Nationalbank (Austrian Central Bank).
- Matilla-Garcia, Mariano & Ruiz Marin, Manuel, 2008. "A non-parametric independence test using permutation entropy," Journal of Econometrics, Elsevier, vol. 144(1), pages 139-155, May.
- Matilla-Garcia, Mariano, 2007. "A non-parametric test for independence based on symbolic dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 31(12), pages 3889-3903, December.
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Cited by:
- Fernando A. López & Mariano Matilla-García & Jesús Mur & Antonio Páez & Manuel Ruiz, 2016.
"A note on the SG(m) test,"
Journal of Geographical Systems, Springer, vol. 18(1), pages 87-96, January.
- Fernando López & Mariano Matilla-García & Jesús Mur & Antonio Páez & Manuel Ruiz, 2016. "A note on the SG(m) test," Journal of Geographical Systems, Springer, vol. 18(1), pages 87-96, January.
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More about this item
Keywords
Independence tests; Symbolic dynamics; Permutation entropy;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
Statistics
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