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Analyzing Dependent Data with Vine Copulas : A Practical Guide With R / Claudia Czado
| Analyzing Dependent Data with Vine Copulas : A Practical Guide With R / Claudia Czado |
| Autore | Czado, Claudia |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxix, 242 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Bivariate copula
Case study Copulas Dependence measures Dependence modeling Dependent data Model selection Multivariate statistics Pair copula Pair copula decomposition Parameter estimation in copulas R package VineCopula Regular vine copula Simulating regular vine copulas Statistical inference for vine copulas Tail Dependence Vine copula based modeling Vine copulas |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126725 |
Czado, Claudia
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analyzing Dependent Data with Vine Copulas : A Practical Guide With R / Claudia Czado
| Analyzing Dependent Data with Vine Copulas : A Practical Guide With R / Claudia Czado |
| Autore | Czado, Claudia |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxix, 242 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Bivariate copula
Case study Copulas Dependence measures Dependence modeling Dependent data Model selection Multivariate statistics Pair copula Pair copula decomposition Parameter estimation in copulas R package VineCopula Regular vine copula Simulating regular vine copulas Statistical inference Tail Dependence Vine copula based modeling Vine copulas |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126725 |
|
Czado, Claudia
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Dependent data in social sciences research : forms, issues, and methods of analysis / Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann editors
| Dependent data in social sciences research : forms, issues, and methods of analysis / Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XIII, 385 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Analysis of longitudinal panel count data
Close proximity data Clustered or paired data Corrections for dependency Dependent data Directional dependence Dyadic data modeling Growth curve modeling Item response modeling Psychometrics Statistical analysis for dependence in data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113677 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Dependent data in social sciences research : forms, issues, and methods of analysis / Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann editors
| Dependent data in social sciences research : forms, issues, and methods of analysis / Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XIII, 385 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Analysis of longitudinal panel count data
Close proximity data Clustered or paired data Corrections for dependency Dependent data Directional dependence Dyadic data modeling Growth curve modeling Item response modeling Psychometrics Statistical analysis for dependence in data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113677 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors
| Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 547 p. : ill. ; 24 cm |
| Soggetto topico |
62Gxx - Nonparametric inference [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Big Data
Dependent data Heavy-Tailed distribution High-Dimensional Data Kernel methods Machine learning Nonparametric Statistics Nonparametric inference Nonparametric smoother Resampling Statistical learning Survey sampling Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249540 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors
| Nonparametric statistics : 4. ISNPS, Salerno, Italy, June 2018 / Michele La Rocca, Brunero Liseo, Luigi Salmaso editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 547 p. : ill. ; 24 cm |
| Soggetto topico |
62G05 - Nonparametric estimation [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Big Data
Dependent data Heavy-Tailed distribution High-Dimensional Data Kernel methods Machine learning Nonparametric Statistics Nonparametric inference Nonparametric smoother Resampling Statistical learning Survey sampling Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249540 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 3. ISNPS, Avignon, France, June 2016 / Patrice Bertail ... [et al.] editors
| Nonparametric statistics : 3. ISNPS, Avignon, France, June 2016 / Patrice Bertail ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | ix, 390 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Big Data
Dependent data Heavy-Tailed distribution High-Dimensional Data Kernel methods Machine learning Nonparametric Statistics Nonparametric inference Nonparametric smoother Resampling Statistical learning Survey sampling Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124900 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 3. ISNPS, Avignon, France, June 2016 / Patrice Bertail ... [et al.] editors
| Nonparametric statistics : 3. ISNPS, Avignon, France, June 2016 / Patrice Bertail ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | ix, 390 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Big Data
Dependent data Heavy-Tailed distribution High-Dimensional Data Kernel methods Machine learning Nonparametric Statistics Nonparametric inference Nonparametric smoother Resampling Statistical learning Survey sampling Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124900 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors
| Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XI, 224 p. : ill. ; 24 cm |
| Soggetto topico |
62G07 - Density estimation [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G32 - Statistics of extreme values; tail inference [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G30 - Order statistics; empirical distribution functions [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
Applications in econometrics
Applications in the life sciences Curve estimation Dependent data Engineering Applications High-Dimensional Data Nonparametric filtering Nonparametric inference Nonparametric tests Regression smoothing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115099 |
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors
| Nonparametric statistics : 2. ISNPS, Cádiz, june 2014 / Ricardo Cao, Wenceslao González Manteiga, Juan Romo editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XI, 224 p. : ill. ; 24 cm |
| Soggetto topico |
62G05 - Nonparametric estimation [MSC 2020]
62G07 - Density estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62G09 - Nonparametric statistical resampling methods [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G30 - Order statistics; empirical distribution functions [MSC 2020] 62G32 - Statistics of extreme values; tail inference [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Applications in econometrics
Applications in the life sciences Curve estimation Dependent data Engineering Applications High-Dimensional Data Nonparametric filtering Nonparametric inference Nonparametric tests Regression smoothing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00115099 |
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
