Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau |
Autore | Schonlau, Matthias |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | xv, 332 p. : ill. ; 24 cm |
Soggetto non controllato |
Applications in the Social Sciences
Applied Statistical Learning Case Studies Data Analytics Data Science Methods in the Social Sciences Data science Machine learning Neural networks Random forests Statistical learning Support Vector Machines Text Data Trees |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0278722 |
Schonlau, Matthias
![]() |
||
Cham, : Springer, 2023 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau |
Autore | Schonlau, Matthias |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | xv, 332 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 91B82 - Statistical methods; economic indices and measures [MSC 2020] |
Soggetto non controllato |
Applications in the Social Sciences
Applied Statistical Learning Case Studies Data Analytics Data Science Methods in the Social Sciences Data science Machine learning Neural networks Random forests Statistical learning Support Vector Machines Text Data Trees |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00278722 |
Schonlau, Matthias
![]() |
||
Cham, : Springer, 2023 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Random Forests with R / Robin Genuer, Jean-Michel Poggi |
Autore | Genuer, Robin |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | x, 98 p. : ill. ; 24 cm |
Altri autori (Persone) | Poggi, Jean-Michel |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
Soggetto non controllato |
Classification
Data analysis Decision Trees High-Dimensional Data Interpretable Methods Machine learning Nearest neighbor R packages Random forests Regression Supervised Methods Variable Importance Variable Selection |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249700 |
Genuer, Robin
![]() |
||
Cham, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Random Forests with R / Robin Genuer, Jean-Michel Poggi |
Autore | Genuer, Robin |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | x, 98 p. : ill. ; 24 cm |
Altri autori (Persone) | Poggi, Jean-Michel |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
Soggetto non controllato |
Classification
Data analysis Decision Trees High-Dimensional Data Interpretable Methods Machine learning Nearest neighbor R packages Random forests Regression Supervised Methods Variable Importance Variable Selection |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00249700 |
Genuer, Robin
![]() |
||
Cham, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Statistical learning from a regression perspective / Richard A. Berk |
Autore | Berk, Richard A. |
Edizione | [3. ed] |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xvii, 358 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] |
Soggetto non controllato |
Bagging
Boosting Classification Decision Trees Generalized additive model Machine learning Neural networks Random forests Support Vector Machines |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249858 |
Berk, Richard A.
![]() |
||
Cham, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Statistical learning from a regression perspective / Richard A. Berk |
Autore | Berk, Richard A. |
Edizione | [3. ed] |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xvii, 358 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
Soggetto non controllato |
Bagging
Boosting Classification Decision Trees Generalized additive model Machine learning Neural networks Random forests Support Vector Machines |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00249858 |
Berk, Richard A.
![]() |
||
Cham, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Statistical learning from a regression perspective / Richard A. Berk |
Autore | Berk, Richard A. |
Edizione | [2. ed] |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XXXV, 347 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] |
Soggetto non controllato |
Classification
Random forests Regression analysis Statistical learning Statistics for social sciences Support Vector Machines |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0115380 |
Berk, Richard A.
![]() |
||
[Cham], : Springer, 2016 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Statistical learning from a regression perspective / Richard A. Berk |
Autore | Berk, Richard A. |
Edizione | [2. ed] |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XXXV, 347 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
Soggetto non controllato |
Classification
Random forests Regression analysis Statistical learning Statistics for social sciences Support Vector Machines |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00115380 |
Berk, Richard A.
![]() |
||
[Cham], : Springer, 2016 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|