The Skew-Normal and Related Families
By Adelchi Azzalini, A. Capitanio. 2018
699 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0a79c4027a0815407b9e9433f49d233ac40ba23d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Toshinao Yoshiba
- Gilles Mordant
- Elizabeth González-Estrada
- Waldenia Cosmes
- Johan Segers
- Marc Hallin
- Yakov Yu. Nikitin
- A. C. Davison
In Statistics and Probability
- Toshinao Yoshiba
- Gilles Mordant
- Elizabeth González-Estrada
- Waldenia Cosmes
- Johan Segers
- Marc Hallin
- Yakov Yu. Nikitin
- Hao Wang
Citations in the corpus
- Maximum likelihood estimation of skew-t copulas with its applications to stock returns (2018, background): “For the details of the distribution and other related distributions, see [20].”
- Continuously Indexed Domain Adaptation (2020, background): “For example, one can use skew-normal distributions (Azzalini, 2013) to match the third moment (skewness).”
- Multivariate goodness-of-fit tests based on Wasserstein distance (2020, methodology): “Figure 6 provides a plot of rejection frequencies under bivariate skew-t alternatives (Azzalini, 2014) with marginal skewness parameters α1 and α2. Simulations were based on the R package sn (Azzalini, 2020). In principle, the empirical process approach in Khmaladze (2016) leads to test statistics t”
- Tests based on characterizations, and their efficiencies: a survey (2017, background): “967 for shift and skew (see [11]) alternatives.”
- Shapiro–Wilk test for skew normal distributions based on data transformations (2019, methodology): “A comprehensive review of the properties and statistical inference aspects for the SN family is provided in [26].”