Efficient inference about the tail weight in multivariate Student t distributions

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Ley, Christophe, and Anouk Neven. “Efficient Inference about the Tail Weight in Multivariate Student T Distributions”. Journal of Statistical Planning and Inference, vol. 167, 2015, pp. 123-34, https://doi.org/10.1016/j.jspi.2015.05.004.
Ley, C., & Neven, A. (2015). Efficient inference about the tail weight in multivariate Student t distributions. Journal of Statistical Planning and Inference, 167, 123-134. https://doi.org/10.1016/j.jspi.2015.05.004
Ley, Christophe, and Anouk Neven. “Efficient Inference about the Tail Weight in Multivariate Student T Distributions”. Journal of Statistical Planning and Inference 167 (2015): 123-34. https://doi.org/10.1016/j.jspi.2015.05.004.
Ley C, Neven A. Efficient inference about the tail weight in multivariate Student t distributions. Journal of Statistical Planning and Inference. 2015;167:123-34.
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Refrences Analysis
The category Science: Mathematics 7 is the most frequently represented among the references in this article. It primarily includes studies from The Annals of Statistics The chart below illustrates the number of referenced publications per year.
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Citations
Title Journal Journal Categories Citations Publication Date
Consistency factor for the MCD estimator at the Student-t distribution

Statistics and Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Consistency factor for the MCD estimator at the Student-t distribution and was published in 2023. The most recent citation comes from a 2023 study titled Consistency factor for the MCD estimator at the Student-t distribution. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals. Among related journals, the Statistics and Computing cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year