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Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 184 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Soggetto non controllato |
Applications
Bayesian Inference Bayesian Modeling Bayesian computation Computational problems in statistics Data science Inference from stochastic processes Methodological and Applied Statistics Multivariate Analysis Neurosciences, astrostatistics, climate change Nonparametric inference Parametric inference Young researchers |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126746 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 184 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Applications
Bayesian Inference Bayesian Modeling Bayesian computation Computational problems in statistics Data science Inference from stochastic processes Methodological and Applied Statistics Multivariate Analysis Neurosciences, astrostatistics, climate change Nonparametric inference Parametric inference Young researchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126746 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modern Problems of Stochastic Analysis and Statistics : Selected Contributions In Honor of Valentin Konakov / Vladimir Panov editor
| Modern Problems of Stochastic Analysis and Statistics : Selected Contributions In Honor of Valentin Konakov / Vladimir Panov editor |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xii, 511 p. : ill. ; 24 cm |
| Soggetto topico |
60Hxx - Stochastic analysis [MSC 2020]
60Jxx - Markov processes [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 60Fxx - Limit theorems in probability theory [MSC 2020] |
| Soggetto non controllato |
Limit Theorems
Markov Processes Nonparametric inference Population dynamics Random flight models Stochastic Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124160 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modern Problems of Stochastic Analysis and Statistics : Selected Contributions In Honor of Valentin Konakov / Vladimir Panov editor
| Modern Problems of Stochastic Analysis and Statistics : Selected Contributions In Honor of Valentin Konakov / Vladimir Panov editor |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xii, 511 p. : ill. ; 24 cm |
| Soggetto topico |
60Fxx - Limit theorems in probability theory [MSC 2020]
60Hxx - Stochastic analysis [MSC 2020] 60Jxx - Markov processes [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] |
| Soggetto non controllato |
Limit Theorems
Markov Processes Nonparametric inference Population dynamics Random flight models Stochastic Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124160 |
| Cham, : Springer, 2017 | ||
| 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 | ||
| ||
