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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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Bayesian Inference in Wavelet-Based Models / Peter Müller, Brani Vidakovic (Editors)
| Bayesian Inference in Wavelet-Based Models / Peter Müller, Brani Vidakovic (Editors) |
| Pubbl/distr/stampa | New York, : Springer, 1999 |
| Descrizione fisica | xii, 394 p. ; 24 cm |
| Soggetto non controllato |
Hidden Markov models
Linear regression Markov Models Modeling Statistics Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00300211 |
| New York, : Springer, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Hidden Markov Models : Estimation and Control / Robert J. Elliott, John B. Moore, Lakhdar Aggoun
| Hidden Markov Models : Estimation and Control / Robert J. Elliott, John B. Moore, Lakhdar Aggoun |
| Autore | Elliott, Robert J. |
| Pubbl/distr/stampa | New York, : Springer, 1995 [stampa 2008] |
| Descrizione fisica | xii, 361 p. ; 24 cm |
| Altri autori (Persone) |
Aggoun, Lakhdar
Moore, John B. |
| Soggetto topico |
60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020]
60H30 - Applications of stochastic analysis (to PDEs, etc.) [MSC 2020] 93E11 - Filtering in stochastic control theory [MSC 2020] 93E20 - Optimal stochastic control [MSC 2020] |
| Soggetto non controllato |
Algorithms
Brownian Motion Dynamics Equations Filtering Hidden Markov chains Hidden Markov models Markov Chains Markov Models Markov Processes Optimal Control Parameter Parameter estimations Quantitative Finance Stochastic Control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00295019 |
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Elliott, Robert J.
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| New York, : Springer, 1995 [stampa 2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Machine Learning with Quantum Computers / Maria Schuld, Francesco Petruccione
| Machine Learning with Quantum Computers / Maria Schuld, Francesco Petruccione |
| Autore | Schuld, Maria |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 312 p. : ill. ; 24 cm |
| Altri autori (Persone) | Petruccione, Francesco |
| Soggetto topico |
68Q12 - Quantum algorithms and complexity in the theory of computing [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 81-XX - Quantum theory [MSC 2020] 81P68 - Quantum computation [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] |
| Soggetto non controllato |
Artificial neural network
Deep Belief Network Deutsch-Josza algorithm Grover search Hidden Markov models Hopfield Model Kernel methods Qsample encoding Quantum blas |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00282609 |
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Schuld, Maria
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Mathematical Modelling in Engineering & Human Behaviour 2018 / Luis Acedo Rodríguez, Lucas Jódar, Juan Carlos Cortés
| Mathematical Modelling in Engineering & Human Behaviour 2018 / Luis Acedo Rodríguez, Lucas Jódar, Juan Carlos Cortés |
| Autore | Rodríguez Luis Acedo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto non controllato |
uncertainty quantification
neutron diffusion equation discrete dynamical systems organisational risk computational efficiency AHP random power series order of convergence IPV multi-criteria decision-making random non-autonomous second order linear differential equation game of life immune system parameter estimation cytokines model stem cells Voynich Manuscript uncertainty modelling ode bottling process anti-torpedo decoy decision-making exponential polynomial Hidden Markov models systems of nonlinear equations iterative methods modified block Newton method mathematical linguistics DEMATEL convergence F-110 frigate Chikungunya disease nonlinear dynamical systems cellular automata mean square analytic solution basin of attraction violence index macrophages Markov chain Monte Carlo human behaviour block preconditioner generalized eigenvalue problem bone repair numerical simulations ASW Newton’s method independence index mathematical modeling brain dynamics |
| ISBN |
9783038978053
3038978051 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346670003321 |
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Rodríguez Luis Acedo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink
| Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink |
| Autore | Visser, Ingmar |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xvi, 267 p. : ill. ; 24 cm |
| Altri autori (Persone) | Speekenbrink, Maarten |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62Rxx - Statistics on algebraic and topological structures [MSC 2020] |
| Soggetto non controllato |
Hidden Markov models
Latent class models Maximum likelihood estimation Mixture models Multivariate Multivariate time series R Programming Statistical Theory Time series Univariate Univariate time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277950 |
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Visser, Ingmar
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink
| Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink |
| Autore | Visser, Ingmar |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xvi, 267 p. : ill. ; 24 cm |
| Altri autori (Persone) | Speekenbrink, Maarten |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62Rxx - Statistics on algebraic and topological structures [MSC 2020] |
| Soggetto non controllato |
Hidden Markov models
Latent class models Maximum likelihood estimation Mixture models Multivariate Multivariate time series R Programming Statistical Theory Time series Univariate Univariate time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277950 |
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Visser, Ingmar
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Numerical Solutions of Realistic Nonlinear Phenomena / J. A. Tenreiro Machado, Necati Özdemir, Dumitru Baleanu editors
| Numerical Solutions of Realistic Nonlinear Phenomena / J. A. Tenreiro Machado, Necati Özdemir, Dumitru Baleanu editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | viii, 233 p. : ill. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] |
| Soggetto non controllato |
Abel integral equations
Asset price dynamics Auxiliary function methods Burger-Fisher equation Complexity Epidemic models Fractional order differential equations Global optimization Hidden Markov models Hybrid methods for optimization Mathematical Finance Non-singular fractional operators Nonlinear Partial Differential Equations Partial differential equations Particle Swarm Optimization Unconstrained differentiable optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249581 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Numerical Solutions of Realistic Nonlinear Phenomena / J. A. Tenreiro Machado, Necati Özdemir, Dumitru Baleanu editors
| Numerical Solutions of Realistic Nonlinear Phenomena / J. A. Tenreiro Machado, Necati Özdemir, Dumitru Baleanu editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | viii, 233 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
65-XX - Numerical analysis [MSC 2020] |
| Soggetto non controllato |
Abel integral equations
Asset price dynamics Auxiliary function methods Burger-Fisher equation Complexity Epidemic models Fractional order differential equations Global optimization Hidden Markov models Hybrid methods for optimization Mathematical Finance Non-singular fractional operators Nonlinear Partial Differential Equations Partial Differential Equations Particle Swarm Optimization Unconstrained differentiable optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249581 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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