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Bayesian networks in educational assessment / Russell G. Almond ... [et al.]
| Bayesian networks in educational assessment / Russell G. Almond ... [et al.] |
| Pubbl/distr/stampa | New York, : Springer, 2015 |
| Descrizione fisica | XXXIII, 662 p. : ill. ; 24 cm |
| Soggetto topico |
62B10 - Statistical aspects of information-theoretic topics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 94A15 - Information theory (general) [MSC 2020] 94Cxx - Circuits, networks [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Bayes net Bayesian model education ECD Evidence-Centered Design Evidence-centered assessment design Uncertainty |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113099 |
| New York, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian networks in educational assessment / Russell G. Almond ... [et al.]
| Bayesian networks in educational assessment / Russell G. Almond ... [et al.] |
| Pubbl/distr/stampa | New York, : Springer, 2015 |
| Descrizione fisica | XXXIII, 662 p. : ill. ; 24 cm |
| Soggetto topico |
62B10 - Statistical aspects of information-theoretic topics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 94A15 - Information theory (general) [MSC 2020] 94Cxx - Circuits, networks [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Bayes net Bayesian model education ECD Evidence-Centered Design Evidence-centered assessment design Uncertainty |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113099 |
| New York, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian networks in educational assessment / Russell G. Almond ... [et al.]
| Bayesian networks in educational assessment / Russell G. Almond ... [et al.] |
| Edizione | [New York : Springer, 2015] |
| Pubbl/distr/stampa | XXXIII, 662 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62B10 - Statistical aspects of information-theoretic topics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 94A15 - Information theory (general) [MSC 2020] 94Cxx - Circuits, networks [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0113099 |
| XXXIII, 662 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard
| Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard |
| Autore | Massart, Pascal |
| Pubbl/distr/stampa | Berlin, : Springer, 2007 |
| Descrizione fisica | XIV, 337 p. ; 24 cm |
| Soggetto topico |
60Cxx - Combinatorial probability [MSC 2020]
62F10 - Point estimation [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62E17 - Approximations to statistical distributions (nonasymptotic) [MSC 2020] 62J02 - General nonlinear regression [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] 60E15 - Inequalities; stochastic orderings [MSC 2020] 62G07 - Density estimation [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Soggetto non controllato |
Adaptive estimation
Concentration inequalities Empirical processes Information Information and communication, circuits Maxima Model selection Statistical learning |
| ISBN | 978-35-404-8497-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0060323 |
Massart, Pascal
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| Berlin, : Springer, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard
| Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard |
| Autore | Massart, Pascal |
| Pubbl/distr/stampa | Berlin, : Springer, 2007 |
| Descrizione fisica | XIV, 337 p. ; 24 cm |
| Soggetto topico |
60Cxx - Combinatorial probability [MSC 2020]
60E15 - Inequalities; stochastic orderings [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62E17 - Approximations to statistical distributions (nonasymptotic) [MSC 2020] 62F10 - Point estimation [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G07 - Density estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62J02 - General nonlinear regression [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] |
| Soggetto non controllato |
Adaptive estimation
Concentration inequalities Empirical processes Information Information and communication, circuits Maxima Model selection Statistical learning |
| ISBN | 978-35-404-8497-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00060323 |
|
Massart, Pascal
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||
| Berlin, : Springer, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour, 33., 2003 / Pascal Massart ; editor: Jean Picard
| Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour, 33., 2003 / Pascal Massart ; editor: Jean Picard |
| Autore | Massart, Pascal |
| Edizione | [Berlin : Springer] |
| Descrizione fisica | Pubblicazione disponibile anche in formato elettronico. |
| Soggetto topico |
60Cxx - Combinatorial probability [MSC 2020]
62F10 - Point estimation [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62E17 - Approximations to statistical distributions (nonasymptotic) [MSC 2020] 62J02 - General nonlinear regression [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] 60E15 - Inequalities; stochastic orderings [MSC 2020] 62G07 - Density estimation [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| ISBN | 978-35-404-8497-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0060323 |
|
Massart, Pascal
|
||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
| Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry |
| Autore | Vidal, René |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XXXII, 566 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ma, Yi
Sastry, S. Shankar |
| Soggetto topico |
14-XX - Algebraic geometry [MSC 2020]
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 30C10 - Polynomials and rational functions of one complex variable [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 30C40 - Kernel functions in one complex variable and applications [MSC 2020] 14N20 - Configurations and arrangements of linear subspaces [MSC 2020] |
| Soggetto non controllato |
Hybrid system identification
Image and video segmentation Linear subspace models Low-rank matrix theory Manifold learning Principal component analysis Robust principal component analysis Sparse representation theory Spectral clustering Subspace arrangements Subspace clustering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114796 |
|
Vidal, René
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| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
| Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry |
| Autore | Vidal, René |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XXXII, 566 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ma, Yi
Sastry, S. Shankar |
| Soggetto topico |
14-XX - Algebraic geometry [MSC 2020]
14N20 - Configurations and arrangements of linear subspaces [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 30C10 - Polynomials and rational functions of one complex variable [MSC 2020] 30C40 - Kernel functions in one complex variable and applications [MSC 2020] 62-XX - Statistics [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] |
| Soggetto non controllato |
Hybrid system identification
Image and video segmentation Linear subspace models Low-rank matrix theory Manifold learning Principal component analysis Robust principal component analysis Sparse representation theory Spectral clustering Subspace arrangements Subspace clustering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114796 |
|
Vidal, René
|
||
| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
| Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry |
| Autore | Vidal, René |
| Edizione | [New York : Springer, 2016] |
| Pubbl/distr/stampa | XXXII, 566 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Ma, Yi
Sastry, S. Shankar |
| Soggetto topico |
14-XX - Algebraic geometry [MSC 2020]
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 30C10 - Polynomials and rational functions of one complex variable [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 30C40 - Kernel functions in one complex variable and applications [MSC 2020] 14N20 - Configurations and arrangements of linear subspaces [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114796 |
|
Vidal, René
|
||
| XXXII, 566 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Geometric modeling in probability and statistics / Ovidiu Calin, Constantin Udrişte
| Geometric modeling in probability and statistics / Ovidiu Calin, Constantin Udrişte |
| Autore | Calin, Ovidiu |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | XXIII, 375 p. : ill. ; 24 cm |
| Altri autori (Persone) | Udrişte, Constantin |
| Soggetto topico |
60Dxx - Geometric probability and stochastic geometry [MSC 2020]
62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 53C21 - Methods of global Riemannian geometry, including PDE methods; curvature restrictions [MSC 2020] 53B20 - Local Riemannian geometry [MSC 2020] 53C22 - Geodesics in global differential geometry [MSC 2020] |
| Soggetto non controllato |
Entropy
Fisher information Informational geometry Probability density function Statistical manifolds |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0103820 |
|
Calin, Ovidiu
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| Cham, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
62B10 - Statistical aspects of information-theoretic topics [MSC 2020]
(37)
- 94A15 - Information theory (general) [MSC 2020] (14)
- 62-XX - Statistics [MSC 2020] (10)
- 94A17 - Measures of information, entropy [MSC 2020] (10)
- 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] (9)