Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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
|
||
| 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 |
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
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Approximate Bayesian Inference
| Approximate Bayesian Inference |
| Autore | Alquier Pierre |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (508 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
bifurcation
dynamical systems Edward–Sokal coupling mean-field Kullback–Leibler divergence variational inference Bayesian statistics machine learning variational approximations PAC-Bayes expectation-propagation Markov chain Monte Carlo Langevin Monte Carlo sequential Monte Carlo Laplace approximations approximate Bayesian computation Gibbs posterior MCMC stochastic gradients neural networks Approximate Bayesian Computation differential evolution Markov kernels discrete state space ergodicity Markov chain probably approximately correct variational Bayes Bayesian inference Markov Chain Monte Carlo Sequential Monte Carlo Riemann Manifold Hamiltonian Monte Carlo integrated nested laplace approximation fixed-form variational Bayes stochastic volatility network modeling network variability Stiefel manifold MCMC-SAEM data imputation Bethe free energy factor graphs message passing variational free energy variational message passing approximate Bayesian computation (ABC) differential privacy (DP) sparse vector technique (SVT) Gaussian particle flow variable flow Langevin dynamics Hamilton Monte Carlo non-reversible dynamics control variates thinning meta-learning hyperparameters priors online learning online optimization gradient descent statistical learning theory PAC–Bayes theory deep learning generalisation bounds Bayesian sampling Monte Carlo integration PAC-Bayes theory no free lunch theorems sequential learning principal curves data streams regret bounds greedy algorithm sleeping experts entropy robustness statistical mechanics complex systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576874903321 |
|
Alquier Pierre
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Duffy, Kirsty E.
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 |
|
Duffy, Kirsty E.
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 |
|
Martino, Luca
|
||
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 |
|
Martino, Luca
|
||
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 |
|
Joseph, Anosh
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 |
|
Joseph, Anosh
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He
| Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He |
| Autore | Yang, Xin-She |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 107 p. : ill. ; 24 cm |
| Altri autori (Persone) | He, Xing-Shi |
| Soggetto topico |
68Q25 - Analysis of algorithms and problem complexity [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 90Cxx - Mathematical programming [MSC 2020] 46N10 - Applications of functional analysis in optimization, convex analysis, mathematical programming, economics [MSC 2020] 97N40 - Numerical analysis (educational aspects) [MSC 2020] 37N40 - Dynamical systems in optimization and economics [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020] |
| Soggetto non controllato |
Algorithm Analysis
Ant Colony Optimization Bat Algorithm Bayesian Framework Bees-inspired Algorithms Cuckoo Search Essence of an Algorithm Filter Theory Firefly Algorithm General Formulation of Optimization Gradient-Based Optimization Techniques Gradient-Free Methods and Metaheuristics Hyper-Optimization Markov Chain Monte Carlo Nature-Inspired Algorithms Parameter Tuning and Control Particle Swarm Optimization Stability of an Algorithm Swarm Intelligence Unconstrained Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126993 |
|
Yang, Xin-She
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
