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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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Bayesian Analysis of Demand Under Block Rate Pricing / Koji Miyawaki
| Bayesian Analysis of Demand Under Block Rate Pricing / Koji Miyawaki |
| Autore | Miyawaki, Koji |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | ix, 112 p. : ill. ; 24 cm |
| Soggetto topico |
91Gxx - Actuarial science and mathematical finance [MSC 2020]
62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Bayesian analysis
MCMC Model Coherency Public Utility Demand Structural Approach |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127278 |
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Miyawaki, Koji
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| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Analysis of Demand Under Block Rate Pricing / Koji Miyawaki
| Bayesian Analysis of Demand Under Block Rate Pricing / Koji Miyawaki |
| Autore | Miyawaki, Koji |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | ix, 112 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
91Gxx - Actuarial science and mathematical finance [MSC 2020] |
| Soggetto non controllato |
Bayesian analysis
MCMC Model Coherency Public Utility Demand Structural Approach |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127278 |
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Miyawaki, Koji
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| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Deep Learning in Medical Image Analysis
| Deep Learning in Medical Image Analysis |
| Autore | Zhang Yudong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (458 p.) |
| Soggetto non controllato |
interpretable/explainable machine learning
image classification image processing machine learning models white box black box cancer prediction deep learning multimodal learning convolutional neural networks autism fMRI texture analysis melanoma glcm matrix machine learning classifiers explainability explainable AI XAI medical imaging diagnosis ARMD change detection unsupervised learning microwave breast imaging image reconstruction tumor detection digital pathology whole slide image processing multiple instance learning deep learning classification HER2 medical images transfer learning optimizers neo-adjuvant treatment tumour cellularity cancer breast cancer diagnostics imaging computation artificial intelligence 3D segmentation active surface discriminant analysis PET imaging medical image analysis brain tumor cervical cancer colon cancer lung cancer computer vision musculoskeletal images lung disease detection taxonomy convolutional neural network CycleGAN data augmentation dermoscopic images domain transfer macroscopic images skin lesion segmentation infection detection COVID-19 X-ray images bayesian inference shifted-scaled dirichlet distribution MCMC gibbs sampling object detection surgical tools open surgery egocentric camera computers in medicine segmentation MRI ECG signal detection portable monitoring devices 1D-convolutional neural network medical image segmentation domain adaptation meta-learning U-Net computed tomography (CT) magnetic resonance imaging (MRI) low-dose sparse-angle quantitative comparison |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557435103321 |
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Zhang Yudong
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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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Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
| Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields |
| Autore | Vassiliou Panagiotis-Christos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
Monte Carlo
MCMC Markov chains computational statistics bayesian inference Non-Homogeneous Markov Systems Markov Set Systems limiting set tail expectation asymptotic bound quasi-asymptotic independence heavy-tailed distribution dominated variation copula branching process migration continuous time generating function period-life reliability redundant systems preventive maintenance multiple vacations process mining process modelling phase-type models process target compliance particle filter missing data single imputation impoverishment Markov Systems open population Markov chain models Semi-Markov processes controllable Markov jump processes compound Poisson processes diffusion limits stochastic control problem with incomplete information novel queuing models in applications semi-Markov model Markov model hybrid semi-Markov model manpower planning semi-Markov modeling occupancy first passage time duration non-homogeneity DNA sequences state space model Kalman filter constrained optimization two-sided components basketball Markov chain second order off-ball screens performance semi-Markov transient analysis asymptotic analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557364203321 |
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Vassiliou Panagiotis-Christos
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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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Novel Approaches to the Analysis of Family Data in Genetic Epidemiology
| Novel Approaches to the Analysis of Family Data in Genetic Epidemiology |
| Autore | Robert C. Elston |
| Pubbl/distr/stampa | Frontiers Media SA, 2016 |
| Descrizione fisica | 1 electronic resource (84 p.) |
| Collana | Frontiers Research Topics |
| Soggetto non controllato |
Regional heritability
prostate cancer infectious diseases MCMC combining studies screening conditional-logistic linkage Informatics autism |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910220034703321 |
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Robert C. Elston
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| Frontiers Media SA, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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