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A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
| A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi |
| Autore | Devroye, Luc |
| Pubbl/distr/stampa | New York, : Springer, 1996 |
| Descrizione fisica | XV, 636 p. : ill. ; 25 cm. |
| Altri autori (Persone) |
Gyorfi, Laszlo
Lugosi, Gabor |
| Soggetto topico |
68T10 - Pattern recognition, speech recognition [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62G07 - Density estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| ISBN | 03-87946-18-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0063381 |
Devroye, Luc
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| New York, : Springer, 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
| A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi |
| Autore | Devroye, Luc |
| Pubbl/distr/stampa | New York, : Springer, 1996 |
| Descrizione fisica | XV, 636 p. : ill. ; 25 cm |
| Altri autori (Persone) |
Gyorfi, Laszlo
Lugosi, Gabor |
| Soggetto topico |
68T10 - Pattern recognition, speech recognition [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62G07 - Density estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| ISBN | 978-03-87946-18-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0063381 |
|
Devroye, Luc
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||
| New York, : Springer, 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A Probabilistic Theory of Pattern Recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
| A Probabilistic Theory of Pattern Recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi |
| Autore | Devroye, Luc |
| Pubbl/distr/stampa | New York, : Springer, 1996 |
| Descrizione fisica | XV, 636 p. : ill. ; 25 cm |
| Altri autori (Persone) |
Gyorfi, Laszlo
Lugosi, Gabor |
| Soggetto topico |
62G07 - Density estimation [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] |
| Soggetto non controllato |
Classification
Cognition Complexity Pattern recognition |
| ISBN | 978-03-87946-18-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00063381 |
|
Devroye, Luc
|
||
| New York, : Springer, 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A Probabilistic Theory of Pattern Recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
| A Probabilistic Theory of Pattern Recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi |
| Autore | Devroye, Luc |
| Pubbl/distr/stampa | New York, : Springer, 1996 |
| Descrizione fisica | XV, 636 p. : ill. ; 25 cm |
| Altri autori (Persone) |
Gyorfi, Laszlo
Lugosi, Gabor |
| Soggetto topico |
62G07 - Density estimation [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] |
| Soggetto non controllato |
Classification
Cognition Complexity Pattern recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00296504 |
|
Devroye, Luc
|
||
| New York, : Springer, 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors
| Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 156 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62G07 - Density estimation [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
| Soggetto non controllato |
(auto)regression
Analytical methods Asymptotics Estimation Fisher information Hypothesis Testing Meta learning Neural networks Robustness Statistical Methods Stochastic inequalities Stochastic models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248705 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors
| Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 156 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62G07 - Density estimation [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] |
| Soggetto non controllato |
(auto)regression
Analytical methods Asymptotics Estimation Fisher information Hypothesis Testing Meta learning Neural networks Robustness Statistical Methods Stochastic inequalities Stochastic models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248705 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
| Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin |
| Autore | Härdle, Wolfgang Karl |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxi, 305 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Okhrin, Ostap
Okhrin, Yarema |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G07 - Density estimation [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Computational statistics
Data reproducibility Graphical techniques High dimensional data analysis Multivariate statistical analysis Nonparametric methods Numerical techniques in statistics Programming language R Quantlets R sniplet Random numbers Regression Univariate statistical analysis Visualization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123979 |
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Härdle, Wolfgang Karl
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
| Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin |
| Autore | Härdle, Wolfgang K. |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxi, 305 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Okhrin, Ostap
Okhrin, Yarema |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G07 - Density estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] |
| Soggetto non controllato |
Computational statistics
Data reproducibility Graphical techniques High dimensional data analysis Multivariate statistical analysis Nonparametric methods Numerical techniques in statistics Programming language R Quantlets R sniplet Random numbers Regression Univariate statistical analysis Visualization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123979 |
|
Härdle, Wolfgang K.
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||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
| Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin |
| Autore | Härdle, Wolfgang Karl |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | xxi, 305 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Okhrin, Ostap
Okhrin, Yarema |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G07 - Density estimation [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123979 |
|
Härdle, Wolfgang Karl
|
||
| xxi, 305 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian nonparametric data analysis / Peter Müller ... [et al.]
| Bayesian nonparametric data analysis / Peter Müller ... [et al.] |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XIV, 193 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62G07 - Density estimation [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 60G57 - Random measures [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Bayesian Statistics
Clustering Markov Chains Mixture models Monte Carlo Nonparametrics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113615 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
