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Innovations in Multivariate Statistical Modeling [[electronic resource] ] : Navigating Theoretical and Multidisciplinary Domains / / edited by Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen
| Innovations in Multivariate Statistical Modeling [[electronic resource] ] : Navigating Theoretical and Multidisciplinary Domains / / edited by Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (434 pages) |
| Disciplina | 780 |
| Collana | Emerging Topics in Statistics and Biostatistics |
| Soggetto topico |
Statistics
Applied Statistics Statistical Theory and Methods Anàlisi multivariable |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-13971-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996503550403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains / / edited by Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen
| Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains / / edited by Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (434 pages) |
| Disciplina |
780
519.535 |
| Collana | Emerging Topics in Statistics and Biostatistics |
| Soggetto topico |
Statistics
Applied Statistics Statistical Theory and Methods Anàlisi multivariable |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-13971-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910635396703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||