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Advanced modeling and data challenges / Mike Nguyen
| Advanced modeling and data challenges / Mike Nguyen |
| Autore | Nguyen, Mike |
| Pubbl/distr/stampa | Cham, : Springer, 2025 |
| Descrizione fisica | 1 testo elettronico (xiii, 449 p. : ill.) |
| Soggetto topico |
62D10 - Missing data [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62F07 - Statistical ranking and selection procedures [MSC 2020] 62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] |
| Soggetto non controllato |
Data Collection
Data Interpretation Hypothesis Testing Latent Variable Models Marginal Effects Mediation Missing data Model selection Model uncertainty Moderation Practical Analytics Robust Statistics Seasonality Time series Variable Selection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00310399 |
Nguyen, Mike
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| Cham, : Springer, 2025 | ||
| 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 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 |
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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 |
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Czado, Claudia
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Big and Complex Data Analysis : Methodologies and Applications / S. Ejaz Ahmed Editor
| Big and Complex Data Analysis : Methodologies and Applications / S. Ejaz Ahmed Editor |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiv, 385 p. : ill. ; 24 cm |
| Soggetto topico | 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Applications with real data sets
Big data analysis Complex data analysis Estimation and prediction High dimensional data analysis Model selection Shrinkage estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123738 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Big and Complex Data Analysis : Methodologies and Applications / S. Ejaz Ahmed Editor
| Big and Complex Data Analysis : Methodologies and Applications / S. Ejaz Ahmed Editor |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiv, 385 p. : ill. ; 24 cm |
| Soggetto topico | 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Applications with Real Data Sets
Big Data Analysis Complex Data Analysis Estimation and prediction High dimensional data analysis Model selection Shrinkage estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123738 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard
| Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard |
| Autore | Massart, Pascal |
| Pubbl/distr/stampa | Berlin, : Springer, 2007 |
| Descrizione fisica | XIV, 337 p. ; 24 cm |
| Soggetto topico |
60Cxx - Combinatorial probability [MSC 2020]
62F10 - Point estimation [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62E17 - Approximations to statistical distributions (nonasymptotic) [MSC 2020] 62J02 - General nonlinear regression [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] 60E15 - Inequalities; stochastic orderings [MSC 2020] 62G07 - Density estimation [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Soggetto non controllato |
Adaptive estimation
Concentration inequalities Empirical processes Information Information and communication, circuits Maxima Model selection Statistical learning |
| ISBN | 978-35-404-8497-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0060323 |
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Massart, Pascal
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| Berlin, : Springer, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard
| Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard |
| Autore | Massart, Pascal |
| Pubbl/distr/stampa | Berlin, : Springer, 2007 |
| Descrizione fisica | XIV, 337 p. ; 24 cm |
| Soggetto topico |
60Cxx - Combinatorial probability [MSC 2020]
60E15 - Inequalities; stochastic orderings [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62E17 - Approximations to statistical distributions (nonasymptotic) [MSC 2020] 62F10 - Point estimation [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G07 - Density estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62J02 - General nonlinear regression [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] |
| Soggetto non controllato |
Adaptive Estimation
Concentration Inequalities Empirical processes Information Information and communication, circuits Maxima Model selection Statistical learning |
| ISBN | 978-35-404-8497-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00060323 |
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Massart, Pascal
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| Berlin, : Springer, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances / David I. Warton
| Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances / David I. Warton |
| Autore | Warton, David I. |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xii, 433 p. : ill. ; 24 cm |
| Soggetto non controllato |
Animal density
Bootstrapping Ecology Estimation Generalized Linear Models Linear regression Mixed models Model selection Multivariate Analysis Numerical Ecology Population Quantitative ecology Sampling Statistical Ecology Survey |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277362 |
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Warton, David I.
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances / David I. Warton
| Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances / David I. Warton |
| Autore | Warton, David I. |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xii, 433 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Pxx - Applications of statistics [MSC 2020] 92D40 - Ecology [MSC 2020] |
| Soggetto non controllato |
Animal Density
Bootstrapping Ecology Estimation Generalized Linear Models Linear regression Mixed models Model selection Multivariate Analysis Numerical Ecology Population Quantitative ecology Sampling Statistical Ecology Survey |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277362 |
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Warton, David I.
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Elements of nonlinear time series analysis and forecasting / Jan G. De Gooijer
| Elements of nonlinear time series analysis and forecasting / Jan G. De Gooijer |
| Autore | De Gooijer, Jan |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | XXI, 618 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
AR-GARCH model
ARMA model Frequency domain tests High dimensional tests Model selection Nonlinear time series Nonparametric forecasting Tests for serial independence Time-domain linearity test |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123399 |
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De Gooijer, Jan
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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