Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Asymptotic expansion of a partition function related to the Sinh-model / Gaëtan Borot, Alice Guionnet, Karol K. Kozlowski
| Asymptotic expansion of a partition function related to the Sinh-model / Gaëtan Borot, Alice Guionnet, Karol K. Kozlowski |
| Autore | Borot, Gaëtan |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XV, 222 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Guionnet, Alice
Kozlowski, Karol K. |
| Soggetto topico |
81-XX - Quantum theory [MSC 2020]
41A60 - Asymptotic approximations, asymptotic expansions (steepest descent, etc.) [MSC 2020] 81R12 - Groups and algebras in quantum theory and relations with integrable systems [MSC 2020] |
| Soggetto non controllato |
Algebraic Bethe Ansatz
Concentration of measure Gaussian potential KPZ models Loop equations Quantum Toda chain Quantum separation of variables Random matrix theory Riemann-Hilbert problem Schwinger-Dyson equation Selberg integral Separation of variables Six-vertex model Toda lattice XXZ chains |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114460 |
Borot, Gaëtan
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymptotic expansion of a partition function related to the Sinh-model / Gaëtan Borot, Alice Guionnet, Karol K. Kozlowski
| Asymptotic expansion of a partition function related to the Sinh-model / Gaëtan Borot, Alice Guionnet, Karol K. Kozlowski |
| Autore | Borot, Gaëtan |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XV, 222 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Guionnet, Alice
Kozlowski, Karol K. |
| Soggetto topico |
41A60 - Asymptotic approximations, asymptotic expansions (steepest descent, etc.) [MSC 2020]
81-XX - Quantum theory [MSC 2020] 81R12 - Groups and algebras in quantum theory and relations with integrable systems [MSC 2020] |
| Soggetto non controllato |
Algebraic Bethe Ansatz
Concentration of measure Gaussian potential KPZ models Loop equations Quantum Toda chain Quantum separation of variables Random matrix theory Riemann-Hilbert problem Schwinger-Dyson equation Selberg integral Separation of variables Six-vertex model Toda lattice XXZ chains |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114460 |
|
Borot, Gaëtan
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Compressed Sensing in Information Processing / Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch editors
| Compressed Sensing in Information Processing / Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2022 |
| Descrizione fisica | xvii, 542 p. : ill. ; 24 cm |
| Soggetto non controllato |
Compressed Sensing
Information Processing Random matrix theory Signal processing Sparsity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276176 |
| Cham, : Birkhäuser, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Compressed Sensing in Information Processing / Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch editors
| Compressed Sensing in Information Processing / Gitta Kutyniok, Holger Rauhut, Robert J. Kunsch editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2022 |
| Descrizione fisica | xvii, 542 p. : ill. ; 24 cm |
| Soggetto topico |
15B52 - Random matrices (algebraic aspects) [MSC 2020]
65F22 - Ill-posedness and regularization problems in numerical linear algebra [MSC 2020] 68U10 - Computing methodologies for image processing [MSC 2020] 86A10 - Meteorology and atmospheric physics [MSC 2020] 90C25 - Convex programming [MSC 2020] 94Axx - Communication, information [MSC 2020] |
| Soggetto non controllato |
Compressed Sensing
Information Processing Random matrix theory Signal processing Sparsity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276176 |
| Cham, : Birkhäuser, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
High dimensional probability 7. : the Cargèse volume / Christian Houdré ... [et al.] editors
| High dimensional probability 7. : the Cargèse volume / Christian Houdré ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2016 |
| Descrizione fisica | XXVIII, 461 p. ; 24 cm |
| Soggetto topico |
60K35 - Interacting random processes; statistical mechanics type models; percolation theory [MSC 2020]
60G15 - Gaussian processes [MSC 2020] 60Cxx - Combinatorial probability [MSC 2020] 62E17 - Approximations to statistical distributions (nonasymptotic) [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] 60E15 - Inequalities; stochastic orderings [MSC 2020] 47A55 - Perturbation theory of linear operator [MSC 2020] 15B52 - Random matrices (algebraic aspects) [MSC 2020] 05A05 - Permutations, words, matrices [MSC 2020] 52A40 - Inequalities and extremum problems involving convexity in convex geometry [MSC 2020] 15A18 - Eigenvalues, singular values, and eigenvectors [MSC 2020] 60Exx - Distribution theory [MSC 2020] 60F05 - Central limit and other weak theorems [MSC 2020] 60F17 - Functional limit theorems; invariance principles [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] 15Bxx - Special matrices [MSC 2020] |
| Soggetto non controllato |
Infinite-dimensional spaces
Probability higher dimensions Random matrix theory Random phenomena Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114843 |
| Cham, : Birkhäuser, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
High dimensional probability 7. : the Cargèse volume / Christian Houdré ... [et al.] editors
| High dimensional probability 7. : the Cargèse volume / Christian Houdré ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2016 |
| Descrizione fisica | XXVIII, 461 p. ; 24 cm |
| Soggetto topico |
05A05 - Permutations, words, matrices [MSC 2020]
15A18 - Eigenvalues, singular values, and eigenvectors [MSC 2020] 15B52 - Random matrices (algebraic aspects) [MSC 2020] 15Bxx - Special matrices [MSC 2020] 47A55 - Perturbation theory of linear operator [MSC 2020] 52A40 - Inequalities and extremum problems involving convexity in convex geometry [MSC 2020] 60Cxx - Combinatorial probability [MSC 2020] 60E15 - Inequalities; stochastic orderings [MSC 2020] 60Exx - Distribution theory [MSC 2020] 60F05 - Central limit and other weak theorems [MSC 2020] 60F17 - Functional limit theorems; invariance principles [MSC 2020] 60G15 - Gaussian processes [MSC 2020] 60J05 - Discrete-time Markov processes on general state spaces [MSC 2020] 60K35 - Interacting random processes; statistical mechanics type models; percolation theory [MSC 2020] 62E17 - Approximations to statistical distributions (nonasymptotic) [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] |
| Soggetto non controllato |
Infinite-dimensional spaces
Probability higher dimensions Random matrix theory Random phenomena Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114843 |
| Cham, : Birkhäuser, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina
| High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina |
| Autore | Zagidullina, Aygul |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 115 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 60B20 - Random matrices (probabilistic aspects) [MSC 2020] |
| Soggetto non controllato |
Big Data
Covariance matrix estimation High-dimensional asymptotics High-dimensional covariance matrix estimation High-dimensional statistics Linear spectral statistics for high-dimensional inference Random matrix theory Sample covariance matrix estimator Shrinkage estimation of covariance matrices Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274816 |
|
Zagidullina, Aygul
|
||
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina
| High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina |
| Autore | Zagidullina, Aygul |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 115 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60B20 - Random matrices (probabilistic aspects) [MSC 2020] 62-XX - Statistics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Covariance matrix estimation High-dimensional asymptotics High-dimensional covariance matrix estimation High-dimensional statistics Linear spectral statistics for high-dimensional inference Random matrix theory Sample covariance matrix estimator Shrinkage estimation of covariance matrices Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274816 |
|
Zagidullina, Aygul
|
||
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Large Sample Techniques for Statistics / Jiming Jiang
| Large Sample Techniques for Statistics / Jiming Jiang |
| Autore | Jiang, Jiming |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xv, 685 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60Fxx - Limit theorems in probability theory [MSC 2020] 60G44 - Martingales with continuous parameter [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 62-XX - Statistics [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Approximations
Asymptotic Theory Large sample theory Limit Theorems Mathematical statistics Parametric statistics Random matrix theory Random variables Statistical Applications |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277746 |
|
Jiang, Jiming
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Large Sample Techniques for Statistics / Jiming Jiang
| Large Sample Techniques for Statistics / Jiming Jiang |
| Autore | Jiang, Jiming |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xv, 685 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
60Fxx - Limit theorems in probability theory [MSC 2020] 60G44 - Martingales with continuous parameter [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 62-XX - Statistics [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Approximations
Asymptotic Theory Large sample theory Limit Theorems Mathematical statistics Parametric statistics Random matrix theory Random variables Statistical Applications |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277746 |
|
Jiang, Jiming
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
