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Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated
  Shifted Asymmetric Laplace Distributions
v1v2 (latest)

Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated Shifted Asymmetric Laplace Distributions

26 February 2014
Katherine Morris
A. Punzo
P. McNicholas
R. Browne
ArXiv (abs)PDFHTML

Papers citing "Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated Shifted Asymmetric Laplace Distributions"

9 / 9 papers shown
Title
Clustering Three-Way Data with Outliers
Clustering Three-Way Data with Outliers
Katharine M. Clark
P. McNicholas
15
0
0
08 Oct 2023
The generalized hyperbolic family and automatic model selection through
  the multiple-choice LASSO
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO
L. Bagnato
A. Farcomeni
A. Punzo
34
3
0
14 Jun 2023
Asymmetric Laplace scale mixtures for the distribution of cryptocurrency
  returns
Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns
A. Punzo
L. Bagnato
21
3
0
26 Sep 2022
Outlier detection in multivariate functional data through a contaminated
  mixture model
Outlier detection in multivariate functional data through a contaminated mixture model
Martial Amovin-Assagba
Irène Gannaz
Julie Jacques
17
11
0
14 Jun 2021
Mixture of linear experts model for censored data: A novel approach with
  scale-mixture of normal distributions
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions
Elham Mirfarah
Mehrdad Naderi
D. Chen
16
19
0
13 Jul 2020
The multivariate tail-inflated normal distribution and its application
  in finance
The multivariate tail-inflated normal distribution and its application in finance
A. Punzo
L. Bagnato
28
26
0
22 Jun 2020
An Evolutionary Algorithm with Crossover and Mutation for Model-Based
  Clustering
An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering
Sharon M. McNicholas
P. McNicholas
D. Ashlock
TPM
48
6
0
31 Oct 2018
Multiple Scaled Contaminated Normal Distribution and Its Application in
  Clustering
Multiple Scaled Contaminated Normal Distribution and Its Application in Clustering
A. Punzo
C. Tortora
54
16
0
21 Oct 2018
A Variational Approximations-DIC Rubric for Parameter Estimation and
  Mixture Model Selection Within a Family Setting
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting
Sanjeena Subedi
P. McNicholas
78
8
0
23 Jun 2013
1