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An Invitation to Statistics in Wasserstein Space / Victor M. Panaretos, Yoav Zemel
| An Invitation to Statistics in Wasserstein Space / Victor M. Panaretos, Yoav Zemel |
| Autore | Panaretos, Victor M. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiii, 147 p. : ill. ; 24 cm |
| Altri autori (Persone) | Zemel, Yoav |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 60A10 - Probabilistic measure theory [MSC 2020] 62R40 - Topological data analysis [MSC 2020] |
| Soggetto non controllato |
Barycenter
Fréchet mean Functional data analysis Geometrical statistics Gradient descent Manifold Statistics Monge-Kantorovich problem Multimarginal Transport Optimal Transportation Phase variation Point processes Procrustes analysis Random measures Wasserstein metric |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248699 |
Panaretos, Victor M.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Optimization for data analysis / Stephen J. Wright, Benjamin Recht
| Optimization for data analysis / Stephen J. Wright, Benjamin Recht |
| Autore | Wright, Stephen J. |
| Pubbl/distr/stampa | Cambridge, : Cambridge university, 2022 |
| Descrizione fisica | x, 227 p. : ill. ; 24 cm |
| Altri autori (Persone) | Recht, Benjamin |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020] 62R40 - Topological data analysis [MSC 2020] |
| ISBN | 978-13-16-51898-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0253987 |
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Wright, Stephen J.
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| Cambridge, : Cambridge university, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Topological Data Analysis : The Abel Symposium 2018 / Nils A. Baas ... [et al.] editors
| Topological Data Analysis : The Abel Symposium 2018 / Nils A. Baas ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 515 p. : ill. ; 24 cm |
| Soggetto topico |
55-XX - Algebraic topology [MSC 2020]
92B05 - General biology and biomathematics [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R40 - Topological data analysis [MSC 2020] 55N31 - Persistent homology and applications, topological data analysis [MSC 2020] |
| Soggetto non controllato |
Data analysis
Deep Learning Dynamic graphs Inverse Problems Nerve lemma Neural codes Neural science Persistence diagrams Persistent Homology Poisson–Delaunay mosaics Prediction in cancer genomics Single-cell Hi-C contact maps Stability theorem Topological Data Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249989 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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