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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 |
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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Probability and Simulation / Giray Ökten
| Probability and Simulation / Giray Ökten |
| Autore | Ökten, Giray |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 152 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
97K50 - Probability theory (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Inquiry-Based Learning
Julia programming Markov Chains Monte Carlo integration Probability Random variables Randomized algorithms Simulation Stochastic models Undergraduate probability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249658 |
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Ökten, Giray
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Probability and Simulation / Giray Ökten
| Probability and Simulation / Giray Ökten |
| Autore | Ökten, Giray |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 152 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
97K50 - Probability theory (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Inquiry-Based Learning
Julia programming Markov Chains Monte Carlo integration Probability Random variables Randomized algorithms Simulation Stochastic models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249658 |
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Ökten, Giray
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic Models for Geodesy and Geoinformation Science
| Stochastic Models for Geodesy and Geoinformation Science |
| Autore | Neitzel Frank |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (200 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D straight line fitting
ARMA-process autoregressive processes B-spline approximation collocation vs. adjustment colored noise CONT14 continuous process covariance function data snooping direct solution elementary error model EM-algorithm Errors-In-Variables Model extended Kalman filter fractional Gaussian noise generalized Hurst estimator geodetic network adjustment GNSS phase bias GUM analysis Hurst exponent internal reliability laser scanning data likelihood ratio test machine learning mean shift model Monte Carlo integration Monte Carlo simulation multi-GNSS nonlinear least squares adjustment observation covariance matrix outlierdetection PPP prior information process noise random number generator robustness sensitivity sequential quasi-Monte Carlo singular dispersion matrix stochastic model stochastic modeling stochastic properties terrestrial laser scanner terrestrial laser scanning time series total least squares (TLS) Total Least-Squares variance inflation model variance reduction variance-covariance matrix very long baseline interferometry weighted total least squares (WTLS) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557154003321 |
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Neitzel Frank
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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