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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 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
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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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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 electronic resource (200 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
EM-algorithm
multi-GNSS PPP process noise observation covariance matrix extended Kalman filter machine learning GNSS phase bias sequential quasi-Monte Carlo variance reduction autoregressive processes ARMA-process colored noise continuous process covariance function stochastic modeling time series elementary error model terrestrial laser scanning variance-covariance matrix terrestrial laser scanner stochastic model B-spline approximation Hurst exponent fractional Gaussian noise generalized Hurst estimator very long baseline interferometry sensitivity internal reliability robustness CONT14 Errors-In-Variables Model Total Least-Squares prior information collocation vs. adjustment mean shift model variance inflation model outlierdetection likelihood ratio test Monte Carlo integration data snooping GUM analysis geodetic network adjustment stochastic properties random number generator Monte Carlo simulation 3D straight line fitting total least squares (TLS) weighted total least squares (WTLS) nonlinear least squares adjustment direct solution singular dispersion matrix laser scanning data |
| 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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