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Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
| Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | vi, 417 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] |
| Soggetto non controllato |
Applied Data Science
Applied Statistics Bayesian Optimization Bayesian Statistics Bayesian computation Bayesian neural networks Big Data Case Studies in Data Science Case studies in Ecology Case studies in Health Composite likelihood Markov random fields Mixture models Spatial models |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0132626 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
| Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | vi, 417 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Applied Data Science
Applied Statistics Bayesian Optimization Bayesian Statistics Bayesian computation Bayesian neural networks Big Data Case Studies in Data Science Case studies in Ecology Case studies in Health Composite likelihood Markov random fields Mixture models Spatial models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00132626 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
| Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors |
| Edizione | [Cham : Springer, 2020] |
| Pubbl/distr/stampa | vi, 417 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0132626 |
| vi, 417 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Counting Statistics for Dependent Random Events : With a Focus on Finance / Enrico Bernardi, Silvia Romagnoli
| Counting Statistics for Dependent Random Events : With a Focus on Finance / Enrico Bernardi, Silvia Romagnoli |
| Autore | Bernardi, Enrico |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiii, 206 p. : ill. ; 24 cm |
| Altri autori (Persone) | Romagnoli, Silvia |
| Soggetto topico |
60K37 - Processes in random environments [MSC 2020]
62-XX - Statistics [MSC 2020] 62H05 - Characterization and structure theory for multivariate probability distributions; copulas [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Big data in finance
Clustering Combinatoric calculus Copula function Copula-based approach to counting Counting random events Counting random variables Counting statistics Dependent random events Hierarchical dependence structures High-Dimensional Data High-dimensional problem Matlab code |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274686 |
Bernardi, Enrico
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Counting Statistics for Dependent Random Events : With a Focus on Finance / Enrico Bernardi, Silvia Romagnoli
| Counting Statistics for Dependent Random Events : With a Focus on Finance / Enrico Bernardi, Silvia Romagnoli |
| Autore | Bernardi, Enrico |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiii, 206 p. : ill. ; 24 cm |
| Altri autori (Persone) | Romagnoli, Silvia |
| Soggetto topico |
60K37 - Processes in random environments [MSC 2020]
62-XX - Statistics [MSC 2020] 62H05 - Characterization and structure theory for multivariate probability distributions; copulas [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Big data in finance
Clustering Combinatoric calculus Copula function Copula-based approach to counting Counting random events Counting random variables Counting statistics Dependent random events Hierarchical dependence structures High-Dimensional Data High-dimensional problems Matlab code |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274686 |
|
Bernardi, Enrico
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler
| Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler |
| Autore | Winkler, Gerhard |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Berlin, : Springer, 2003 |
| Descrizione fisica | XVI, 387 p. : ill. ; 24 cm + 1 CD-ROM. |
| Soggetto topico |
60K35 - Interacting random processes; statistical mechanics type models; percolation theory [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 65C40 - Numerical analysis or methods applied to Markov chains [MSC 2020] 65Y05 - Parallel numerical computation [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] |
| ISBN | 35-404-4213-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0065408 |
|
Winkler, Gerhard
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||
| Berlin, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler
| Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler |
| Autore | Winkler, Gerhard |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Berlin, : Springer, 2003 |
| Descrizione fisica | XVI, 387 p. : ill. ; 24 cm + 1 CD-ROM |
| Soggetto topico |
60K35 - Interacting random processes; statistical mechanics type models; percolation theory [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 65C40 - Numerical analysis or methods applied to Markov chains [MSC 2020] 65Y05 - Parallel numerical computation [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] |
| ISBN | 35-404-4213-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNISOB-VAN0065408 |
|
Winkler, Gerhard
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| Berlin, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Suor Orsola Benincasa | ||
| ||
Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler
| Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler |
| Autore | Winkler, Gerhard |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Berlin, : Springer, 2003 |
| Descrizione fisica | XVI, 387 p. : ill. ; 24 cm + 1 CD-ROM |
| Soggetto topico |
60K35 - Interacting random processes; statistical mechanics type models; percolation theory [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 65C40 - Numerical analysis or methods applied to Markov chains [MSC 2020] 65Y05 - Parallel numerical computation [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] |
| ISBN | 35-404-4213-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0065408 |
|
Winkler, Gerhard
|
||
| Berlin, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler
| Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler |
| Autore | Winkler, Gerhard |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Berlin, : Springer, 2003 |
| Descrizione fisica | XVI, 387 p. : ill. ; 24 cm + 1 CD-ROM |
| Soggetto topico |
60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]
60K35 - Interacting random processes; statistical mechanics type models; percolation theory [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] 65C40 - Numerical analysis or methods applied to Markov chains [MSC 2020] 65Y05 - Parallel numerical computation [MSC 2020] |
| Soggetto non controllato |
Algorithms
Image Analysis Imaging Markov random fields Monte Carlo Monte Carlos Methods Probability Theory Statistics |
| ISBN | 35-404-4213-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00065408 |
|
Winkler, Gerhard
|
||
| Berlin, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler
| Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler |
| Autore | Winkler, Gerhard |
| Pubbl/distr/stampa | Berlin, : Springer, 1995 |
| Descrizione fisica | xiv, 324 p. : ill. ; 24 cm |
| Soggetto topico |
60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]
62M40 - Random fields; image analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] 65K10 - Numerical optimization and variational techniques [MSC 2020] 65Y05 - Parallel numerical computation [MSC 2020] 68U10 - Computing methodologies for image processing [MSC 2020] 93Exx - Stochastic systems and control [MSC 2020] |
| Soggetto non controllato |
Algorithms
Image Analysis Imaging Markov random fields Monte Carlo Monte Carlos Methods Probability Theory Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00294113 |
|
Winkler, Gerhard
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||
| Berlin, : Springer, 1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
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62M40 - Random fields; image analysis [MSC 2020]
(27)
- 76Fxx - Turbulence [MSC 2020] (7)
- 60G60 - Random fields [MSC 2020] (6)
- 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] (6)
- 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] (6)