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The class of index-mixed copulas is introduced and its properties are investigated. Index-mixed copulas are constructed from given base copulas and a random index vector, and show a rather remarkable degree of analytical tractability. The analytical
Externí odkaz:
http://arxiv.org/abs/2306.10663
Publikováno v:
Machine Learning, Special Issue on Imbalanced Learning ISSN: 0885-6125 (Print) 1573-0565 (Online), 2024, Pages 1-75
Unsupervised learning methods are well established in the area of anomaly detection and achieve state of the art performances on outlier datasets. Outliers play a significant role, since they bear the potential to distort the predictions of a machine
Externí odkaz:
http://arxiv.org/abs/2211.13314
Autor:
Li Jie, Alalkawi Talal
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 483-490 (2023)
This article first uses a new method of nonlinear combination forecasting based on neural networks to construct a financial crisis early warning model and conduct an empirical study. The drafting article uses Fisher’s second-class linear discrimina
Externí odkaz:
https://doaj.org/article/f0276ccfd8bd400798fa9b217d9b3aae
Autor:
Ellison, Stephen L R
Publikováno v:
Analytical Methods, 2019, 11, 2639-2649
This paper illustrates the use of selected robust estimators of covariance or correlation in the identification of anomalous laboratory results in inter-laboratory data. It is shown that robust estimators can substantially reduce the impact of outlyi
Externí odkaz:
http://arxiv.org/abs/1810.02467
Sliced inverse regression (SIR) is the most widely-used sufficient dimension reduction method due to its simplicity, generality and computational efficiency. However, when the distribution of the covariates deviates from the multivariate normal distr
Externí odkaz:
http://arxiv.org/abs/1801.01950
Autor:
Szabłowski, Paweł J.
Publikováno v:
Journal of Mathematical Analysis and Applications (2019)
We study properties of compactly supported, 4 parameter \newline $(\rho _{12},\rho _{23},\rho _{13},q)\in (-1,1)^{\times 4}$ family of continuous type 3 dimensional distributions, that have the property that for $q\rightarrow 1^{-}$ this family tends
Externí odkaz:
http://arxiv.org/abs/1712.04250
Autor:
Prause, Annabel, Steland, Ansgar
Publikováno v:
Electronic Journal of Statistics, 12(1), 890-940, 2018
Correlated random fields are a common way to model dependence struc- tures in high-dimensional data, especially for data collected in imaging. One important parameter characterizing the degree of dependence is the asymp- totic variance which adds up
Externí odkaz:
http://arxiv.org/abs/1708.08432
Autor:
Willis, Amy
Inferring evolutionary histories (phylogenetic trees) has important applications in biology, criminology and public health. However, phylogenetic trees are complex mathematical objects that reside in a non-Euclidean space, which complicates their ana
Externí odkaz:
http://arxiv.org/abs/1607.08288
Akademický článek
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Publikováno v:
Israel J. Math. 219 (2017), no. 2, 917-928
We first propose what we call the Gaussian Moments Conjecture. We then show that the Jacobian Conjecture follows from the Gaussian Moments Conjecture. We also give a counter-example to a more general statement known as the Moments Vanishing Conjectur
Externí odkaz:
http://arxiv.org/abs/1506.05192