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Teoriya Veroyatnostei i ee Primeneniya, 1992, Volume 37, Issue 1, Pages 105–112 (Mi tvp4131)  

This article is cited in 3 scientific papers (total in 3 papers)

Consistency of a Class of Information Criteria for Model Selection in Nonlinear Regression

D. Haughton

University of Massachusetts Lowell
Full-text PDF (467 kB) Citations (3)
Abstract: In this paper we prove the consistency in probability of a class of generalized BIC criteria for model selection in nonlinear regression, by using asymptotic results of Gallant. This extends a result obtained by Nishii for model selection in linear regression.
English version:
Theory of Probability and its Applications, 1993, Volume 37, Issue 1, Pages 47–53
DOI: https://doi.org/10.1137/1137009
Bibliographic databases:
Language: Russian
Citation: D. Haughton, “Consistency of a Class of Information Criteria for Model Selection in Nonlinear Regression”, Teor. Veroyatnost. i Primenen., 37:1 (1992), 105–112; Theory Probab. Appl., 37:1 (1993), 47–53
Citation in format AMSBIB
\Bibitem{Hau92}
\by D.~Haughton
\paper Consistency of a Class of Information Criteria for Model Selection in Nonlinear Regression
\jour Teor. Veroyatnost. i Primenen.
\yr 1992
\vol 37
\issue 1
\pages 105--112
\mathnet{http://mi.mathnet.ru/tvp4131}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1211208}
\zmath{https://zbmath.org/?q=an:0780.62049}
\transl
\jour Theory Probab. Appl.
\yr 1993
\vol 37
\issue 1
\pages 47--53
\crossref{https://doi.org/10.1137/1137009}
Linking options:
  • https://www.mathnet.ru/eng/tvp4131
  • https://www.mathnet.ru/eng/tvp/v37/i1/p105
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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    Abstract page:174
    Full-text PDF :61
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