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Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
| Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | vi, 417 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] |
| Soggetto non controllato |
Applied Data Science
Applied Statistics Bayesian Optimization Bayesian Statistics Bayesian computation Bayesian neural networks Big Data Case Studies in Data Science Case studies in Ecology Case studies in Health Composite likelihood Markov random fields Mixture models Spatial models |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0132626 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
| Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | vi, 417 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Applied Data Science
Applied Statistics Bayesian Optimization Bayesian Statistics Bayesian computation Bayesian neural networks Big Data Case Studies in Data Science Case studies in Ecology Case studies in Health Composite likelihood Markov random fields Mixture models Spatial models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00132626 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler
| Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler |
| Autore | Winkler, Gerhard |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Berlin, : Springer, 2003 |
| Descrizione fisica | XVI, 387 p. : ill. ; 24 cm + 1 CD-ROM |
| Soggetto topico |
60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]
60K35 - Interacting random processes; statistical mechanics type models; percolation theory [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] 65C40 - Numerical analysis or methods applied to Markov chains [MSC 2020] 65Y05 - Parallel numerical computation [MSC 2020] |
| Soggetto non controllato |
Algorithms
Image Analysis Imaging Markov random fields Monte Carlo Monte Carlos Methods Probability Theory Statistics |
| ISBN | 35-404-4213-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00065408 |
Winkler, Gerhard
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| Berlin, : Springer, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler
| Image analysis, Random fields and Markov chain Monte Carlo methods : a mathematical introduction / Gerhard Winkler |
| Autore | Winkler, Gerhard |
| Pubbl/distr/stampa | Berlin, : Springer, 1995 |
| Descrizione fisica | xiv, 324 p. : ill. ; 24 cm |
| Soggetto topico |
60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]
62M40 - Random fields; image analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] 65K10 - Numerical optimization and variational techniques [MSC 2020] 65Y05 - Parallel numerical computation [MSC 2020] 68U10 - Computing methodologies for image processing [MSC 2020] 93Exx - Stochastic systems and control [MSC 2020] |
| Soggetto non controllato |
Algorithms
Image Analysis Imaging Markov random fields Monte Carlo Monte Carlos Methods Probability Theory Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00294113 |
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Winkler, Gerhard
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| Berlin, : Springer, 1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Information Geometry
| Information Geometry |
| Autore | Verdoolaege Geert |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (356 p.) |
| Soggetto non controllato |
?)
(? Bezout matrix decomposable divergence dually flat structure entropy Fisher information Fisher information matrix information geometry information theory Markov random fields matrix resultant maximum pseudo-likelihood estimation stationary process Stein equation Sylvester matrix tensor Sylvester matrix Vandermonde matrix |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346839903321 |
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Verdoolaege Geert
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Linear Algebra with Python : Theory and Applications / Makoto Tsukada ... [et al.]
| Linear Algebra with Python : Theory and Applications / Makoto Tsukada ... [et al.] |
| Pubbl/distr/stampa | Singapore, : Springer, 2023 |
| Descrizione fisica | xv, 309 p. : ill. ; 24 cm |
| Soggetto topico |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020]
68-XX - Computer science [MSC 2020] |
| Soggetto non controllato |
Dynamical systems
Fourier expansions Generalized inverse Jordan normal form Jupyter Notebook KL Expansion Kalman Filter Markov Chains Markov random fields Matplotlib Matrix Representation NumPy One-Parameter Semigroups Orthogonal Projection Peron-Frobenius Theorem Python Singular value decomposition Spectral Radius SymPy Tensor products |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279239 |
| Singapore, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Multi-Level Bayesian Models for Environment Perception / Csaba Benedek
| Multi-Level Bayesian Models for Environment Perception / Csaba Benedek |
| Autore | Benedek, Csaba |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xiii, 202 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P12 - Applications of statistics to environmental and related topics [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] |
| Soggetto non controllato |
Bayesian Modeling
Computer vision Dynamic Scene Analysis Hierarchical models Marked Point Processes Markov random fields Multi-level object population analysis Remote sensing/photogrammetry Spatiotemporal analysis Stochastic Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277962 |
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Benedek, Csaba
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Multi-Level Bayesian Models for Environment Perception / Csaba Benedek
| Multi-Level Bayesian Models for Environment Perception / Csaba Benedek |
| Autore | Benedek, Csaba |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xiii, 202 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P12 - Applications of statistics to environmental and related topics [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] |
| Soggetto non controllato |
Bayesian Modeling
Computer vision Dynamic Scene Analysis Hierarchical models Marked Point Processes Markov random fields Multi-level object population analysis Remote sensing/photogrammetry Spatiotemporal analysis Stochastic Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277962 |
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Benedek, Csaba
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic Models, Statistical Methods, and Algorithms in Image Analysis : Proceedings of the Special Year on Image Analysis, held in Rome, Italy, 1990 / P. Barone, A. Frigessi, M. Piccioni (Eds.)
| Stochastic Models, Statistical Methods, and Algorithms in Image Analysis : Proceedings of the Special Year on Image Analysis, held in Rome, Italy, 1990 / P. Barone, A. Frigessi, M. Piccioni (Eds.) |
| Pubbl/distr/stampa | New York [etc.], : Springer-Verlag, 1992 |
| Descrizione fisica | vi, 258 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68U10 - Computing methodologies for image processing [MSC 2020] |
| Soggetto non controllato |
Coding
Estimator Expectation–maximization algorithms Markov random fields |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00290095 |
| New York [etc.], : Springer-Verlag, 1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Wavelets and Statistics / Anestis Antoniadis, Georges Oppenheim (editors)
| Wavelets and Statistics / Anestis Antoniadis, Georges Oppenheim (editors) |
| Pubbl/distr/stampa | New York, : Springer, 1995 |
| Descrizione fisica | 410 p. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
42C40 - Nontrigonometric harmonic analysis involving wavelets and other special systems [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Gaussian processes
Hypothese Markov random fields Rang Statistics Stochastic processes Variance Variation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00295483 |
| New York, : Springer, 1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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