Preface.- PART 1: Trends in Multi- and Matrix-Variate Analysis.- Q. Guo,
X. Deng and N. Ravishanker: Association-based Optimal Subpopulation
Selection of Multivariate Data.- T. B. Mattos, L. A. Matos, V. H Lachos
Aldo: Likelihood-Based Inference For Linear Mixed-Effects Models With
Censored Response Using Skew-Normal Distribution.- Y. Melnykov, M.
Perry, V. Melnykov: Robust Estimation of Multiple Change Points in
Multivariate Processes.- T. Botha, J. T Ferreira and A. Bekker: Some
Computational Aspects Of A Noncentral Dirichlet Family.- Y. Murat Bulut
and Olcay Arslan: Modeling Handwritten Digits Dataset Using The Matrix
Variate T Distribution.- B. Byukusenge, D. von Rosen and M. Singull: On
The Identification Of Extreme Elements In A Residual For The
Gmanova-Manova Model.- M. Billio, R. Casarin, M. Costola and M.
Iacopini: Matrix-variate Smooth Transition Models for Temporal
Networks.- H. Baghishani and J. Ownuk: A Flexible Matrix-Valued Response
Regression For Skewed Data.- J. Trink, H. Haghbin and M. Maadooliat:
Multivariate Functional Singular Spectrum Analysis: A Nonparametric
Approach for Analyzing Functional Time Series.- M. Greenacre:
Compositional Data Analysis - Linear Algebra, Visualization And
Interpretation.- A. Alzaatreh, F. Famoye and C. Lee: Multivariate Count
Data Regression Models And Their Applications.- A. Iranmanesh, M. Rafiei
and D. Nagar: A Generalized Multivariate Gamma Distribution.- PART 2:
Aspects of High Dimensional Methodology and Bayesian Learning .- G. D'
Angella and C. Hennig: A Comparison Of Different Clustering Approaches
For High-Dimensional Presence-Absence Data.- S. Millard, M. Arashi and
G. Maribe: High-Dimensional Feature Selection For Logistic Regression
Using Blended Penalty Functions.- I. Munaweera, S. Muthukumarana and M.
Jafari Jozani: A Generalized Quadratic Garrote Approach Towards Ridge
Regression Analysis.- M. Roozbeh: High Dimensional Nonlinear
Optimization Problem In Semiparametric Regression Model.- PART 3:
Frontiers in Robust Analysis and Mixture Modelling.- A. Punzo and S. D.
Tomarchia: Parsimonious Finite Mixtures Of Matrix-Variate Regressions.-
F. Zehra Doğru and Olcay Arslan: Robust Multivariate Modelling for
Heterogeneous Data Sets With Mixtures of Multivariate Skew Laplace
Normal Distributions.- M. Norouzirad, M. Arashi, F. J Marques and F.
Esmaeili: Robust Estimation Through Preliminary Testing Based On The
Lad-Lasso
