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An Invitation to Statistics in Wasserstein Space [[electronic resource] /] / by Victor M. Panaretos, Yoav Zemel
| An Invitation to Statistics in Wasserstein Space [[electronic resource] /] / by Victor M. Panaretos, Yoav Zemel |
| Autore | Panaretos Victor M |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIII, 147 p. 30 illus., 24 illus. in color.) |
| Disciplina | 519.2 |
| Collana | SpringerBriefs in Probability and Mathematical Statistics |
| Soggetto topico |
Probabilities
Probability Theory and Stochastic Processes |
| Soggetto non controllato |
Probability Theory and Stochastic Processes
Optimal Transportation Monge-Kantorovich Problem Barycenter Multimarginal Transport Functional Data Analysis Point Processes Random Measures Manifold Statistics Open Access Geometrical statistics Wasserstein metric Fréchet mean Procrustes analysis Phase variation Gradient descent Probability & statistics Stochastics |
| ISBN | 3-030-38438-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimal transportation -- The Wasserstein space -- Fréchet means in the Wasserstein space -- Phase variation and Fréchet means -- Construction of Fréchet means and multicouplings. |
| Record Nr. | UNINA-9910404119803321 |
Panaretos Victor M
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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An Invitation to Statistics in Wasserstein Space [[electronic resource] /] / by Victor M. Panaretos, Yoav Zemel
| An Invitation to Statistics in Wasserstein Space [[electronic resource] /] / by Victor M. Panaretos, Yoav Zemel |
| Autore | Panaretos Victor M |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIII, 147 p. 30 illus., 24 illus. in color.) |
| Disciplina | 519.2 |
| Collana | SpringerBriefs in Probability and Mathematical Statistics |
| Soggetto topico |
Probabilities
Probability Theory and Stochastic Processes |
| Soggetto non controllato |
Probability Theory and Stochastic Processes
Optimal Transportation Monge-Kantorovich Problem Barycenter Multimarginal Transport Functional Data Analysis Point Processes Random Measures Manifold Statistics Open Access Geometrical statistics Wasserstein metric Fréchet mean Procrustes analysis Phase variation Gradient descent Probability & statistics Stochastics |
| ISBN | 3-030-38438-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimal transportation -- The Wasserstein space -- Fréchet means in the Wasserstein space -- Phase variation and Fréchet means -- Construction of Fréchet means and multicouplings. |
| Record Nr. | UNISA-996418267003316 |
|
Panaretos Victor M
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multilevel Modelling for Public Health and Health Services Research [[electronic resource] ] : Health in Context / / by Alastair H. Leyland, Peter P. Groenewegen
| Multilevel Modelling for Public Health and Health Services Research [[electronic resource] ] : Health in Context / / by Alastair H. Leyland, Peter P. Groenewegen |
| Autore | Leyland Alastair H |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XVII, 288 p. 143 illus., 103 illus. in color.) |
| Disciplina |
613
614 |
| Soggetto topico |
Public health
Medical care Sociology—Research Epidemiology Statistics Public Health Health Services Research Research Methodology Statistics for Life Sciences, Medicine, Health Sciences |
| Soggetto non controllato |
Public Health
Health Services Research Research Methodology Epidemiology Statistics for Life Sciences, Medicine, Health Sciences Health Sciences Sociological Methods Statistics in Life Sciences, Medicine, Health Sciences MLwiN epidemiological methods health services research methodology multilevel analysis multilevel modelling statistical methods for public health research Open Access Public health & preventive medicine Health systems & services Social research & statistics Epidemiology & medical statistics Probability & statistics |
| ISBN | 3-030-34801-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Theoretical, conceptual and methodological background -- Chapter 1: Introduction -- Chapter 2: Health in context -- Chapter 3: What is multilevel modelling? -- Chapter 4: Multilevel data structures -- Part II: Statistical background -- Chapter 5: Graphs and equations -- Chapter 6: Apportioning variation in multilevel models -- Part III: The modelling process and presentation of research -- Chapter 7: Context, composition and how their influences vary -- Chapter 8: Ecometrics: Using MLA to construct contextual variables from individual data -- Chapter 9: Modelling strategies -- Chapter 10: Reading and writing -- Part IV: Tutorials with example datasets -- Chapter 11: Multilevel linear regression using MLwiN: Mortality in England and Wales, 1979-1992 -- Chapter 12. Multilevel logistic regression using MLwiN: Referrals to physiotherapy -- Chapter 13. Untangling context and composition using MLwiN: Incidence of cardiovascular disease in small areas in Scotland. |
| Record Nr. | UNINA-9910380727303321 |
|
Leyland Alastair H
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| Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course
| Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course |
| Autore | Walrand Jean |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (390 p.) |
| Soggetto topico |
Maths for computer scientists
Communications engineering / telecommunications Maths for engineers Probability & statistics |
| Soggetto non controllato |
Probability and Statistics in Computer Science
Communications Engineering, Networks Mathematical and Computational Engineering Probability Theory and Stochastic Processes Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematical and Computational Engineering Applications Probability Theory Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Applied probability Hypothesis testing Detection theory Expectation maximization Stochastic dynamic programming Machine learning Stochastic gradient descent Deep neural networks Matrix completion Linear and polynomial regression Open Access Maths for computer scientists Mathematical & statistical software Communications engineering / telecommunications Maths for engineers Probability & statistics Stochastics |
| ISBN | 3-030-49995-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910488709003321 |
|
Walrand Jean
|
||
| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course
| Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course |
| Autore | Walrand Jean |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (390 p.) |
| Soggetto topico |
Maths for computer scientists
Communications engineering / telecommunications Maths for engineers Probability & statistics |
| Soggetto non controllato |
Probability and Statistics in Computer Science
Communications Engineering, Networks Mathematical and Computational Engineering Probability Theory and Stochastic Processes Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematical and Computational Engineering Applications Probability Theory Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Applied probability Hypothesis testing Detection theory Expectation maximization Stochastic dynamic programming Machine learning Stochastic gradient descent Deep neural networks Matrix completion Linear and polynomial regression Open Access Maths for computer scientists Mathematical & statistical software Communications engineering / telecommunications Maths for engineers Probability & statistics Stochastics |
| ISBN | 3-030-49995-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464521903316 |
|
Walrand Jean
|
||
| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||