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High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina
| High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina |
| Autore | Zagidullina, Aygul |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 115 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 60B20 - Random matrices (probabilistic aspects) [MSC 2020] |
| Soggetto non controllato |
Big Data
Covariance matrix estimation High-dimensional asymptotics High-dimensional covariance matrix estimation High-dimensional statistics Linear spectral statistics for high-dimensional inference Random matrix theory Sample covariance matrix estimator Shrinkage estimation of covariance matrices Statistical inference |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274816 |
Zagidullina, Aygul
|
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina
| High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina |
| Autore | Zagidullina, Aygul |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 115 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60B20 - Random matrices (probabilistic aspects) [MSC 2020] 62-XX - Statistics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Covariance matrix estimation High-dimensional asymptotics High-dimensional covariance matrix estimation High-dimensional statistics Linear spectral statistics for high-dimensional inference Random matrix theory Sample covariance matrix estimator Shrinkage estimation of covariance matrices Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274816 |
|
Zagidullina, Aygul
|
||
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||