Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xi, 184 p. : ill. ; 24 cm |
Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
Soggetto non controllato |
Applications
Bayesian Inference Bayesian Modeling Bayesian computation Computational problems in statistics Data science Inference from stochastic processes Methodological and Applied Statistics Multivariate Analysis Neurosciences, astrostatistics, climate change Nonparametric inference Parametric inference Young researchers |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0126746 |
Cham, : Springer, 2019 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23 / Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire editors |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | viii, 115 p. : ill. ; 24 cm |
Soggetto non controllato |
Bayesian Cluster methods
Bayesian Modeling Bayesian computation Bayesian data analysis Bayesian dimension reduction techniques Bayesian non parametric Bayesian process |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0278741 |
Cham, : Springer, 2023 | ||
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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 |
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 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Monte Carlo and quasi-Monte Carlo methods : MCQMC 2018, Rennes, France, July 1–6 / Bruno Tuffin, Pierre L'Ecuyer editors |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xi, 539 p. : ill. ; 24 cm |
Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
65C05 - Monte Carlo methods [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] |
Soggetto non controllato |
Bayesian computation
Computational complexity Cubature Discrepancy Graphical Rendering Importance Sampling Lattice Rules Markov Chain Monte Carlo Monte Carlo Multilevel Monte Carlo Probabilistic Numerics Quadrature Quasi-Monte Carlo Sequential Monte Carlo Simulation Stochastic Computation |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249520 |
Cham, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Monte Carlo and quasi-Monte Carlo methods : MCQMC 2016, Stanford, CA, August 14-19 / Art B. Owen, Peter W. Glynn editors |
Pubbl/distr/stampa | Cham, : Springer, 2018 |
Descrizione fisica | xi, 479 p. : ill. ; 24 cm |
Soggetto topico |
68Uxx - Computing methodologies and applications [MSC 2020]
91Gxx - Actuarial science and mathematical finance [MSC 2020] 65Nxx - Numerical methods for partial differential equations, boundary value problems [MSC 2020] 65Y20 - Complexity and performance of numerical algorithms [MSC 2020] 65D32 - Numerical quadrature and cubature formulas [MSC 2020] 52C07 - Lattices and convex bodies in $n$ dimensions (aspects of discrete geometry) [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 68Q17 - Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.) [MSC 2020] 65Rxx - Numerical methods for integral equations, integral transforms [MSC 2020] |
Soggetto non controllato |
Bayesian computation
Computational complexity Cubature Discrepancy Graphical Rendering Importance Sampling Lattice Rules Markov Chain Monte Carlo Monte Carlo Multilevel Monte Carlo Probabilistic Numerics Quadrature Quasi-Monte Carlo Sequential Monte Carlo Simulation Stochastic Computation |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0124877 |
Cham, : Springer, 2018 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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