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An Introduction to Sequential Monte Carlo / Nicolas Chopin, Omiros Papaspiliopoulos
| An Introduction to Sequential Monte Carlo / Nicolas Chopin, Omiros Papaspiliopoulos |
| Autore | Chopin, Nicolas |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxvi, 559 p. : ill. ; 24 cm |
| Altri autori (Persone) | Papaspiliopoulos, Omiros |
| Soggetto topico |
65C05 - Monte Carlo methods [MSC 2020]
62-XX - Statistics [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62L12 - Sequential estimation [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Data-driven science, modeling and theory building Feynman-Kac models Hidden Markov models Markov Chain Monte Carlo Particle filter Sequential Monte Carlo Sequential learning State-space models |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248680 |
Chopin, Nicolas
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An Introduction to Sequential Monte Carlo / Nicolas Chopin, Omiros Papaspiliopoulos
| An Introduction to Sequential Monte Carlo / Nicolas Chopin, Omiros Papaspiliopoulos |
| Autore | Chopin, Nicolas |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxvi, 559 p. : ill. ; 24 cm |
| Altri autori (Persone) | Papaspiliopoulos, Omiros |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62L12 - Sequential estimation [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Data-driven science, modeling and theory building Feynman-Kac models Hidden Markov models Markov Chain Monte Carlo Particle filters Sequential Monte Carlo Sequential learning State-space models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248680 |
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Chopin, Nicolas
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied statistical inference : likelihood and bayes / Leonhard Held, Daniel Sabanés Bové
| Applied statistical inference : likelihood and bayes / Leonhard Held, Daniel Sabanés Bové |
| Autore | Held, Leonhard |
| Pubbl/distr/stampa | Berlin, : Springer, 2014 |
| Descrizione fisica | XIII, 376 p. : ill. ; 24 cm |
| Altri autori (Persone) | Sabanés Bové, Daniel |
| Soggetto topico |
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Likelihood Inference Model Choice Prediction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0104127 |
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Held, Leonhard
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| Berlin, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied statistical inference : likelihood and bayes / Leonhard Held, Daniel Sabanés Bové
| Applied statistical inference : likelihood and bayes / Leonhard Held, Daniel Sabanés Bové |
| Autore | Held, Leonhard |
| Pubbl/distr/stampa | Berlin, : Springer, 2014 |
| Descrizione fisica | XIII, 376 p. : ill. ; 24 cm |
| Altri autori (Persone) | Sabanés Bové, Daniel |
| Soggetto topico |
62Fxx - Parametric inference [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Likelihood Inference Model Choice Prediction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00104127 |
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Held, Leonhard
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| Berlin, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors
| Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xviii, 364 p. : ill. ; 24 cm |
| Soggetto non controllato |
Bayes
Bayesian Inference Reliability analysis Statistical computing Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276937 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors
| Bayesian Inference and Computation in Reliability and Survival Analysis / Yuhlong Lio ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xviii, 364 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62N05 - Reliability and life testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Bayes
Bayesian Inference Reliability analysis Statistical computing Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276937 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Nonparametric Statistics : École d’Été de Probabilités de Saint-Flour LI - 2023 / Ismaël Castillo
| Bayesian Nonparametric Statistics : École d’Été de Probabilités de Saint-Flour LI - 2023 / Ismaël Castillo |
| Autore | Castillo, Ismaël |
| Pubbl/distr/stampa | Cham, : Springer, 2024 |
| Descrizione fisica | xii, 216 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Bayesian Deep Neural Networks
Bayesian Inference Bernstein-von Mises Theorems High-Dimensional Models Nonparametric Models Posterior distributions Uncertainty Quantification Variational Bayes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00286238 |
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Castillo, Ismaël
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| Cham, : Springer, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Optimization with Application to Computer Experiments / Tony Pourmohamad, Herbert K. H. Lee
| Bayesian Optimization with Application to Computer Experiments / Tony Pourmohamad, Herbert K. H. Lee |
| Autore | Pourmohamad, Tony |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | x, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) | Lee, Herbert K. H. |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Bayesian Network Black box optimization Computer models Constrained optimization Gaussian processes Network models Probability and Statistics in Computer Science Sequential experimental design Simulator Surrogate modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274590 |
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Pourmohamad, Tony
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Optimization with Application to Computer Experiments / Tony Pourmohamad, Herbert K. H. Lee
| Bayesian Optimization with Application to Computer Experiments / Tony Pourmohamad, Herbert K. H. Lee |
| Autore | Pourmohamad, Tony |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | x, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) | Lee, Herbert K. H. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Bayesian Network Black box optimization Computer models Constrained optimization Gaussian processes Network models Probability and Statistics in Computer Science Sequential experimental design Simulator Surrogate modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274590 |
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Pourmohamad, Tony
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 | ||
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