Info
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 |
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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Monte Carlo Methods / Adrian Barbu, Song-Chun Zhu
| Monte Carlo Methods / Adrian Barbu, Song-Chun Zhu |
| Autore | Barbu, Adrian |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xvi, 422 p. : ill. ; 24 cm |
| Altri autori (Persone) | Zhu, Song-Chun |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
65-XX - Numerical analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Computer Graphics Computer vision Data Driven Markov Chain Monte Carlo Energy Landscape Mapping Gibbs Sampler Hamiltonian Monte Carlo Langevin Monte Carlo Machine learning Markov Chain Monte Carlo Metropolis-Hastings Monte Carlo Methods Sequential Monte Carlo Stochastic Gradient Descent Swendsen-Wang Cuts |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250212 |
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Barbu, Adrian
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| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Monte Carlo Methods / Adrian Barbu, Song-Chun Zhu
| Monte Carlo Methods / Adrian Barbu, Song-Chun Zhu |
| Autore | Barbu, Adrian |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xvi, 422 p. : ill. ; 24 cm |
| Altri autori (Persone) | Zhu, Song-Chun |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] 68-XX - Computer science [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Computer Graphics Computer vision Data Driven Markov Chain Monte Carlo Energy Landscape Mapping Gibbs Sampler Hamiltonian Monte Carlo Langevin Monte Carlo Machine learning Markov Chain Monte Carlo Metropolis-Hastings Monte Carlo Methods Sequential Monte Carlo Stochastic Gradient Descent Swendsen-Wang Cuts |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00250212 |
|
Barbu, Adrian
|
||
| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||