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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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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 online resource (458 p.) |
| Soggetto non controllato |
1D-convolutional neural network
3D segmentation active surface ARMD artificial intelligence autism bayesian inference black box brain tumor breast cancer cancer cancer prediction cervical cancer change detection classifiers colon cancer computation computed tomography (CT) computer vision computers in medicine convolutional neural network convolutional neural networks COVID-19 CycleGAN data augmentation deep learning deep learning classification dermoscopic images diagnosis diagnostics digital pathology discriminant analysis domain adaptation domain transfer ECG signal detection egocentric camera explainability explainable AI fMRI gibbs sampling glcm matrix HER2 image classification image processing image reconstruction imaging infection detection interpretable/explainable machine learning low-dose lung cancer lung disease detection machine learning machine learning models macroscopic images magnetic resonance imaging (MRI) MCMC medical image analysis medical image segmentation medical images medical imaging melanoma meta-learning microwave breast imaging MRI multimodal learning multiple instance learning musculoskeletal images n/a neo-adjuvant treatment object detection open surgery optimizers PET imaging portable monitoring devices quantitative comparison segmentation shifted-scaled dirichlet distribution skin lesion segmentation sparse-angle surgical tools taxonomy texture analysis transfer learning tumor detection tumour cellularity U-Net unsupervised learning white box whole slide image processing X-ray images XAI |
| 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 online resource (294 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
asymptotic analysis
asymptotic bound basketball bayesian inference branching process compound Poisson processes computational statistics constrained optimization continuous time controllable Markov jump processes copula diffusion limits DNA sequences dominated variation duration first passage time generating function heavy-tailed distribution hybrid semi-Markov model impoverishment Kalman filter limiting set manpower planning Markov chain Markov chains Markov model Markov Set Systems Markov Systems MCMC migration missing data Monte Carlo multiple vacations n/a non-homogeneity Non-Homogeneous Markov Systems novel queuing models in applications occupancy off-ball screens open population Markov chain models particle filter performance period-life phase-type models preventive maintenance process mining process modelling process target compliance quasi-asymptotic independence redundant systems reliability second order semi-Markov semi-Markov model semi-Markov modeling Semi-Markov processes single imputation state space model stochastic control problem with incomplete information tail expectation transient analysis two-sided components |
| 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 online resource (84 p.) |
| Collana | Frontiers Research Topics |
| Soggetto topico | Genetics (non-medical) |
| Soggetto non controllato |
autism
combining studies screening conditional-logistic linkage infectious diseases Informatics MCMC prostate cancer Regional heritability |
| 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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