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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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Approximate Bayesian Inference
| Approximate Bayesian Inference |
| Autore | Alquier Pierre |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (508 p.) |
| Soggetto topico |
Mathematics and Science
Research and information: general |
| Soggetto non controllato |
approximate Bayesian computation
Approximate Bayesian Computation approximate Bayesian computation (ABC) Bayesian inference Bayesian sampling Bayesian statistics Bethe free energy bifurcation complex systems control variates data imputation data streams deep learning differential evolution differential privacy (DP) discrete state space dynamical systems Edward-Sokal coupling entropy ergodicity expectation-propagation factor graphs fixed-form variational Bayes Gaussian generalisation bounds Gibbs posterior gradient descent greedy algorithm Hamilton Monte Carlo hyperparameters integrated nested laplace approximation Kullback-Leibler divergence Langevin dynamics Langevin Monte Carlo Laplace approximations machine learning Markov chain Markov chain Monte Carlo Markov Chain Monte Carlo Markov kernels MCMC MCMC-SAEM mean-field message passing meta-learning Monte Carlo integration network modeling network variability neural networks no free lunch theorems non-reversible dynamics online learning online optimization PAC-Bayes PAC-Bayes theory particle flow principal curves priors probably approximately correct regret bounds Riemann Manifold Hamiltonian Monte Carlo robustness sequential learning sequential Monte Carlo Sequential Monte Carlo sleeping experts sparse vector technique (SVT) statistical learning theory statistical mechanics Stiefel manifold stochastic gradients stochastic volatility thinning variable flow variational approximations variational Bayes variational free energy variational inference variational message passing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576874903321 |
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Alquier Pierre
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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COMPSTAT : Proceedings in Computational Statistics : 13th Symposium held in Bristol, Great Britain, 1998 / edited by Roger Payne, Peter Green
| COMPSTAT : Proceedings in Computational Statistics : 13th Symposium held in Bristol, Great Britain, 1998 / edited by Roger Payne, Peter Green |
| Pubbl/distr/stampa | Heidelberg, : Physica-Verlag, 1998 |
| Descrizione fisica | xii, 501 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Algorithms
Applied Statistics Approximations Calculus Complexity Markov Chain Monte Carlo Modeling Sensitivity analysis Simulation Software Statistical Methods Statistical Theory Statistical computing Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00298158 |
| Heidelberg, : Physica-Verlag, 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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First Measurement of Neutrino and Antineutrino Oscillation at T2K : Doctoral Thesis accepted by University of Oxford, UK / Kirsty Elizabeth Duffy
| First Measurement of Neutrino and Antineutrino Oscillation at T2K : Doctoral Thesis accepted by University of Oxford, UK / Kirsty Elizabeth Duffy |
| Autore | Duffy, Kirsty E. |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xv, 172 p. : ill. ; 24 cm |
| Soggetto topico |
81T30 - String and superstring theories; other extended objects (e.g., branes) in quantum field theory [MSC 2020]
00A79 (77-XX) - Physics [MSC 2020] 81V35 - Nuclear physics [MSC 2020] 83Fxx - Cosmology [MSC 2020] 81Txx - Quantum field theory; related classical field theories [MSC 2020] |
| Soggetto non controllato |
Accelerator Neutrino
Antineutrino Oscillation Bayesian Inference CP Violation Lepton-Sector CP Violation Long-Baseline Neutrino Oscillation Markov Chain Monte Carlo Neutrino Oscillations PMNS Neutrino Oscillation Parameters T2K Experiment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0187519 |
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Duffy, Kirsty E.
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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First Measurement of Neutrino and Antineutrino Oscillation at T2K : Doctoral Thesis accepted by University of Oxford, UK / Kirsty Elizabeth Duffy
| First Measurement of Neutrino and Antineutrino Oscillation at T2K : Doctoral Thesis accepted by University of Oxford, UK / Kirsty Elizabeth Duffy |
| Autore | Duffy, Kirsty E. |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xv, 172 p. : ill. ; 24 cm |
| Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
81T30 - String and superstring theories; other extended objects (e.g., branes) in quantum field theory [MSC 2020] 81Txx - Quantum field theory; related classical field theories [MSC 2020] 81V35 - Nuclear physics [MSC 2020] 83Fxx - Cosmology [MSC 2020] |
| Soggetto non controllato |
Accelerator Neutrino
Antineutrino Oscillation Bayesian Inference CP Violation Lepton-Sector CP Violation Long-Baseline Neutrino Oscillation Markov Chain Monte Carlo Neutrino Oscillations PMNS Neutrino Oscillation Parameters T2K Experiment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00187519 |
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Duffy, Kirsty E.
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Independent Random Sampling Methods / Luca Martino, David Luengo, Joaquín Míguez
| Independent Random Sampling Methods / Luca Martino, David Luengo, Joaquín Míguez |
| Autore | Martino, Luca |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xii, 280 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Luengo, David
Míguez, Joaquín |
| Soggetto topico | 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] |
| Soggetto non controllato |
Accept-reject methods
Adaptive rejection sampling Independent sampling Markov Chain Monte Carlo Multidimensional random sampling Quantitative Finance Random sampling Ratio-of-uniforms Rejection samplers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124775 |
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Martino, Luca
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Independent Random Sampling Methods / Luca Martino, David Luengo, Joaquín Míguez
| Independent Random Sampling Methods / Luca Martino, David Luengo, Joaquín Míguez |
| Autore | Martino, Luca |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xii, 280 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Luengo, David
Míguez, Joaquín |
| Soggetto topico | 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] |
| Soggetto non controllato |
Accept-reject methods
Adaptive rejection sampling Independent sampling Markov Chain Monte Carlo Multidimensional random sampling Quantitative Finance Random sampling Ratio-of-uniforms Rejection samplers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124775 |
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Martino, Luca
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Markov Chain Monte Carlo Methods in Quantum Field Theories : a Modern Primer / Anosh Joseph
| Markov Chain Monte Carlo Methods in Quantum Field Theories : a Modern Primer / Anosh Joseph |
| Autore | Joseph, Anosh |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 126 p. : ill. ; 24 cm |
| Soggetto topico |
81-XX - Quantum theory [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] |
| Soggetto non controllato |
Euclidean Quantum Field Theory
Hamiltonian Monte Carlo Hybrid Monte Carlo Lattice Field Theory Markov Chain Monte Carlo Metropolis Algorithm Monte-Carlo Simulation Non-perturbative Field Theory Strongly Coupled Field Theory |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0228918 |
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Joseph, Anosh
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Markov Chain Monte Carlo Methods in Quantum Field Theories : a Modern Primer / Anosh Joseph
| Markov Chain Monte Carlo Methods in Quantum Field Theories : a Modern Primer / Anosh Joseph |
| Autore | Joseph, Anosh |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 126 p. : ill. ; 24 cm |
| Soggetto topico |
65C05 - Monte Carlo methods [MSC 2020]
81-XX - Quantum theory [MSC 2020] |
| Soggetto non controllato |
Euclidean Quantum Field Theory
Hamiltonian Monte Carlo Hybrid Monte Carlo Lattice Field Theory Markov Chain Monte Carlo Metropolis Algorithm Monte-Carlo Simulation Non-perturbative Field Theory Strongly Coupled Field Theory |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00228918 |
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Joseph, Anosh
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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