Finite mixture modeling using shape mixtures of the skew scale mixtures of normal distributions

2019 ◽  
Vol 49 (12) ◽  
pp. 3345-3366 ◽  
Author(s):  
Mostafa Tamandi ◽  
Ahad Jamalizadeh
Keyword(s):  
Mixture Modeling ◽  
Finite Mixture ◽  
Finite Mixture Modeling ◽  
Normal Distributions ◽  
Scale Mixtures ◽  
Mixtures Of Normal Distributions

Finite mixture of regression models for censored data based on scale mixtures of normal distributions

2018 ◽  
Vol 13 (1) ◽  
pp. 89-116 ◽  
Author(s):  
Camila Borelli Zeller ◽  
Celso Rômulo Barbosa Cabral ◽  
Víctor Hugo Lachos ◽  
Luis Benites
Keyword(s):  
Censored Data ◽  
Regression Models ◽  
Finite Mixture ◽  
Normal Distributions ◽  
Scale Mixtures ◽  
Mixtures Of Normal Distributions

Hierarchical models with scale mixtures of normal distributions

Test ◽  
1997 ◽  
Vol 6 (1) ◽  
pp. 205-221 ◽  
Author(s):  
S. T. B. Choy ◽  
A. F. M. Smith
Keyword(s):  
Hierarchical Models ◽  
Normal Distributions ◽  
Scale Mixtures ◽  
Mixtures Of Normal Distributions

Robust finite mixture modeling of multivariate unrestricted skew-normal generalized hyperbolic distributions

2018 ◽  
Vol 29 (3) ◽  
pp. 415-428 ◽  
Author(s):  
Mohsen Maleki ◽  
Darren Wraith ◽  
Reinaldo B. Arellano-Valle
Keyword(s):  
Mixture Modeling ◽  
Finite Mixture ◽  
Finite Mixture Modeling ◽  
Skew Normal

On multivariate selection scale-mixtures of normal distributions

2021 ◽  
Vol 35 (2) ◽  
Author(s):  
Roohollah Roozegar ◽  
Narayanaswamy Balakrishnan ◽  
Andriette Bekker ◽  
Ahad Jamalizadeh
Keyword(s):  
Normal Distributions ◽  
Scale Mixtures ◽  
Mixtures Of Normal Distributions

scholarly journals Robust Mixture Modeling Based on Two-Piece Scale Mixtures of Normal Family

Axioms ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 38 ◽  
Author(s):  
Mohsen Maleki ◽  
Javier Contreras-Reyes ◽  
Mohammad Mahmoudi
Keyword(s):  
Real Data ◽  
Finite Mixture ◽  
Maximum Likelihood Estimates ◽  
Model Parameters ◽  
Normal Distributions ◽  
Scale Mixtures ◽  
Robust Model ◽  
Heavy Tailed Distributions ◽  
The Family ◽  
Heavy Tailed

In this paper, we examine the finite mixture (FM) model with a flexible class of two-piece distributions based on the scale mixtures of normal (TP-SMN) family components. This family allows the development of a robust estimation of FM models. The TP-SMN is a rich class of distributions that covers symmetric/asymmetric and light/heavy tailed distributions. It represents an alternative family to the well-known scale mixtures of the skew normal (SMSN) family studied by Branco and Dey (2001). Also, the TP-SMN covers the SMN (normal, t, slash, and contaminated normal distributions) as the symmetric members and two-piece versions of them as asymmetric members. A key feature of this study is using a suitable hierarchical representation of the family to obtain maximum likelihood estimates of model parameters via an EM-type algorithm. The performances of the proposed robust model are demonstrated using simulated and real data, and then compared to other finite mixture of SMSN models.

Refining the Borderline Personality Disorder Phenotype through Finite Mixture Modeling: Implications for Classification

2008 ◽  
Vol 22 (4) ◽  
pp. 313-331 ◽  
Author(s):  
Mark F. Lenzenweger ◽  
John F. Clarkin ◽  
Frank E. Yeomans ◽  
Otto F. Kernberg ◽  
Kenneth N. Levy
Keyword(s):  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Mixture Modeling ◽  
Borderline Personality ◽  
Finite Mixture ◽  
Finite Mixture Modeling
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