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Advances in Mathematical Sciences : AWM Research Symposium, Houston, TX, April 2019 / Bahar Acu ... [et al.] editors
| Advances in Mathematical Sciences : AWM Research Symposium, Houston, TX, April 2019 / Bahar Acu ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiii, 369 p. : ill. ; 24 cm |
| Soggetto topico |
13-XX - Commutative algebra [MSC 2020]
35-XX - Partial differential equations [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 05-XX - Combinatorics [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 54-XX - General topology [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 97-XX - Mathematics education [MSC 2020] |
| Soggetto non controllato |
Algebraic Combinatorics
Algebraic biology Braid Groups Combinatorics Data science Education research Ensemble Kalman filter Higher order elliptic problems Math education Noncommutative algebra Parameter Estimation Patricle methods Periodic parameters Professional development Quantum symmetry School and district support Sequential Monte Carlo Student enrichment programs Symplectic and contact topology Uncertainty Quantification |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248597 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advances in Mathematical Sciences : AWM Research Symposium, Houston, TX, April 2019 / Bahar Acu ... [et al.] editors
| Advances in Mathematical Sciences : AWM Research Symposium, Houston, TX, April 2019 / Bahar Acu ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiii, 369 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
05-XX - Combinatorics [MSC 2020] 13-XX - Commutative algebra [MSC 2020] 35-XX - Partial differential equations [MSC 2020] 54-XX - General topology [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 97-XX - Mathematics education [MSC 2020] |
| Soggetto non controllato |
Algebraic Combinatorics
Algebraic biology Braid Groups Combinatorics Data science Education research Ensemble Kalman filter Higher order elliptic problems Math education Noncommutative algebra Parameter Estimation Patricle methods Periodic parameters Professional development Quantum symmetry School and district support Sequential Monte Carlo Student enrichment programs Symplectic and contact topology Uncertainty Quantification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248597 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 |
|
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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Bayesian Inference of State Space Models : Kalman Filtering and Beyond / Kostas Triantafyllopoulos
| Bayesian Inference of State Space Models : Kalman Filtering and Beyond / Kostas Triantafyllopoulos |
| Autore | Triantafyllopoulos, Kostas |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xv, 495 p. : ill. ; 24 cm |
| Soggetto topico |
93E11 - Filtering in stochastic control theory [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 91B84 - Economic time series analysis [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 93E03 - Stochastic systems in control theory (general) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] |
| Soggetto non controllato |
Bayesian estimation
Bayesian forecasting Control theory Dynamic models Financial Time Series Non Gaussian time series Sequential Monte Carlo State space in dynamic systems State-space models Stochastic volatility Systems stability Volatility models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274587 |
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Triantafyllopoulos, Kostas
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Inference of State Space Models : Kalman Filtering and Beyond / Kostas Triantafyllopoulos
| Bayesian Inference of State Space Models : Kalman Filtering and Beyond / Kostas Triantafyllopoulos |
| Autore | Triantafyllopoulos, Kostas |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xv, 495 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 91B84 - Economic time series analysis [MSC 2020] 93E03 - Stochastic systems in control theory (general) [MSC 2020] 93E11 - Filtering in stochastic control theory [MSC 2020] |
| Soggetto non controllato |
Bayesian estimation
Bayesian forecasting Control theory Dynamic models Financial Time Series Non Gaussian time series Sequential Monte Carlo State space in dynamic systems State-space models Stochastic volatility Systems stability Volatility models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274587 |
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Triantafyllopoulos, Kostas
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Monte Carlo and quasi-Monte Carlo methods : MCQMC 2018, Rennes, France, July 1–6 / Bruno Tuffin, Pierre L'Ecuyer editors
| Monte Carlo and quasi-Monte Carlo methods : MCQMC 2018, Rennes, France, July 1–6 / Bruno Tuffin, Pierre L'Ecuyer editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 539 p. : ill. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] |
| Soggetto non controllato |
Bayesian computation
Computational complexity Cubature Discrepancy Graphical Rendering Importance Sampling Lattice Rules Markov Chain Monte Carlo Monte Carlo Multilevel Monte Carlo Probabilistic Numerics Quadrature Quasi-Monte Carlo Sequential Monte Carlo Simulation Stochastic Computation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249520 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Monte Carlo and quasi-Monte Carlo methods : MCQMC 2018, Rennes, France, July 1–6 / Bruno Tuffin, Pierre L'Ecuyer editors
| Monte Carlo and quasi-Monte Carlo methods : MCQMC 2018, Rennes, France, July 1–6 / Bruno Tuffin, Pierre L'Ecuyer editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 539 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
65-XX - Numerical analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] |
| Soggetto non controllato |
Bayesian computation
Computational complexity Cubature Discrepancy Graphical Rendering Importance Sampling Lattice Rules Markov Chain Monte Carlo Monte Carlo Multilevel Monte Carlo Probabilistic Numerics Quadrature Quasi-Monte Carlo Sequential Monte Carlo Simulation Stochastic Computation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249520 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Monte Carlo and quasi-Monte Carlo methods : MCQMC 2016, Stanford, CA, August 14-19 / Art B. Owen, Peter W. Glynn editors
| Monte Carlo and quasi-Monte Carlo methods : MCQMC 2016, Stanford, CA, August 14-19 / Art B. Owen, Peter W. Glynn editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xi, 479 p. : ill. ; 24 cm |
| Soggetto topico |
68Uxx - Computing methodologies and applications [MSC 2020]
91Gxx - Actuarial science and mathematical finance [MSC 2020] 65Nxx - Numerical methods for partial differential equations, boundary value problems [MSC 2020] 65Y20 - Complexity and performance of numerical algorithms [MSC 2020] 65D32 - Numerical quadrature and cubature formulas [MSC 2020] 52C07 - Lattices and convex bodies in $n$ dimensions (aspects of discrete geometry) [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 68Q17 - Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.) [MSC 2020] 65Rxx - Numerical methods for integral equations, integral transforms [MSC 2020] |
| Soggetto non controllato |
Bayesian computation
Computational complexity Cubature Discrepancy Graphical Rendering Importance Sampling Lattice Rules Markov Chain Monte Carlo Monte Carlo Multilevel Monte Carlo Probabilistic Numerics Quadrature Quasi-Monte Carlo Sequential Monte Carlo Simulation Stochastic Computation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124877 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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