Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions / Yogendra P. Chaubey ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | ix, 159 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
Soggetto non controllato |
Actuarial mathematics
Computational statistics Data Analytics Data Mining Data science Environmental Statistics Probability and Statistics in Computer Science Small area estimation Statistical Methods Supply chain Survival analysis |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274563 |
Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Optimization with Application to Computer Experiments / Tony Pourmohamad, Herbert K. H. Lee |
Autore | Pourmohamad, Tony |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | x, 104 p. : ill. ; 24 cm |
Altri autori (Persone) | Lee, Herbert K. H. |
Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] |
Soggetto non controllato |
Bayesian Inference
Bayesian Network Black box optimization Computer models Constrained optimization Gaussian processes Network models Probability and Statistics in Computer Science Sequential experimental design Simulator Surrogate modeling |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274590 |
Pourmohamad, Tony
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Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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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
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Cham, : Springer International Publishing AG, 2021 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Probability in Electrical Engineering and Computer Science : 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
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Cham, : Springer International Publishing AG, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Vol. 1: Financial Statistics and Portfolio Analysis/ John Lee, Cheng-Few Lee |
Autore | Lee, John |
Edizione | [2. ed] |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xvi, 696 p. : ill. ; 24 cm |
Altri autori (Persone) | Lee, Cheng-Few |
Soggetto non controllato |
Business Analytics
Business mathematics Mathematical Finance Probability and Statistics in Computer Science Python Quantitative Finance Statistical finance |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0277395 |
Lee, John
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Cham, : Springer, 2022 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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