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Algebra, Complex Analysis, and Pluripotential Theory : 2 USUZCAMP, Urgench, Uzbekistan, August 8–12, 2017 / Zair Ibragimov ... [et al.] editors
| Algebra, Complex Analysis, and Pluripotential Theory : 2 USUZCAMP, Urgench, Uzbekistan, August 8–12, 2017 / Zair Ibragimov ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | x, 226 p. : ill. ; 24 cm |
| Soggetto topico |
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
41A17 - Inequalities in approximation (Bernstein, Jackson, Nikolʹskiĭ-type inequalities) [MSC 2020] 37K15 -Inverse spectral and scattering methods for infinite-dimensional Hamiltonian and Lagrangian systems [MSC 2020] 46L57 - Derivations, dissipations and positive semigroups in C*-algebras [MSC 2020] 31B15 - Potentials and capacities, extremal length and related notions in higher dimensions [MSC 2020] 46S10 - Functional analysis over fields other than ${\bf R}$ or ${\bf C}$ or the quaternions; non-Archimedean functional analysis [MSC 2020] 17A32 - Leibniz algebras [MSC 2020] 32U30 - Removable sets in pluripotential theory [MSC 2020] |
| Soggetto non controllato |
A(z)-analytic Functions
Gibbs Measure Holomorphic Extension Involutive Algebra Leibniz Algebra Lie algebra Local Automorphism Log-integrable Measurable Function M-subharmonic Functions Pluripotential Theory Polynomial Estimates Pseudo-Galilean Group Pseudodifferential operators Singular Sets Slow Convergence Spectral expansions Transcendence Basis |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124535 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Algebra, Complex Analysis, and Pluripotential Theory : 2 USUZCAMP, Urgench, Uzbekistan, August 8–12, 2017 / Zair Ibragimov ... [et al.] editors
| Algebra, Complex Analysis, and Pluripotential Theory : 2 USUZCAMP, Urgench, Uzbekistan, August 8–12, 2017 / Zair Ibragimov ... [et al.] editors |
| Edizione | [Cham : Springer, 2018] |
| Pubbl/distr/stampa | x, 226 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
41A17 - Inequalities in approximation (Bernstein, Jackson, Nikolʹskiĭ-type inequalities) [MSC 2020] 37K15 -Inverse spectral and scattering methods for infinite-dimensional Hamiltonian and Lagrangian systems [MSC 2020] 46L57 - Derivations, dissipations and positive semigroups in C*-algebras [MSC 2020] 31B15 - Potentials and capacities, extremal length and related notions in higher dimensions [MSC 2020] 46S10 - Functional analysis over fields other than ${\bf R}$ or ${\bf C}$ or the quaternions; non-Archimedean functional analysis [MSC 2020] 17A32 - Leibniz algebras [MSC 2020] 32U30 - Removable sets in pluripotential theory [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124535 |
| x, 226 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to infinite ergodic theory / Jon Aaronson
| An introduction to infinite ergodic theory / Jon Aaronson |
| Autore | Aaronson, Jon |
| Pubbl/distr/stampa | Providence, : American Mathematical Society, 1997 |
| Descrizione fisica | XII, 284 p. ; 26 cm. |
| Soggetto topico |
28-XX - Measure and integration [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 60G50 - Sums of independent random variables; random walks [MSC 2020] 37Axx - Ergodic theory [MSC 2020] 37Exx - Low-dimensional dynamical systems [MSC 2020] 28D05 - Measure-preserving transformations [MSC 2020] 53D25 - Geodesic flows in symplectic geometry and contact geometry [MSC 2020] 37D40 - Dynamical systems of geometric origin and hyperbolicity (geodesic and horocycle flows, etc.) [MSC 2020] |
| ISBN | 08-218-0494-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0044275 |
Aaronson, Jon
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| Providence, : American Mathematical Society, 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to infinite ergodic theory / Jon Aaronson
| An introduction to infinite ergodic theory / Jon Aaronson |
| Autore | Aaronson, Jon |
| Pubbl/distr/stampa | Providence, : American Mathematical Society, 1997 |
| Descrizione fisica | XII, 284 p. ; 26 cm |
| Soggetto topico |
28-XX - Measure and integration [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 60G50 - Sums of independent random variables; random walks [MSC 2020] 37Axx - Ergodic theory [MSC 2020] 37Exx - Low-dimensional dynamical systems [MSC 2020] 28D05 - Measure-preserving transformations [MSC 2020] 53D25 - Geodesic flows in symplectic geometry and contact geometry [MSC 2020] 37D40 - Dynamical systems of geometric origin and hyperbolicity (geodesic and horocycle flows, etc.) [MSC 2020] |
| ISBN | 08-218-0494-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0044275 |
|
Aaronson, Jon
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| Providence, : American Mathematical Society, 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Probability : From Random Sequences to Stochastic Processes / Valérie Girardin, Nikolaos Limnios
| Applied Probability : From Random Sequences to Stochastic Processes / Valérie Girardin, Nikolaos Limnios |
| Autore | Girardin, Valérie |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | XIII, 260 p. : ill. ; 24 cm |
| Altri autori (Persone) | Limnios, Nikolaos |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 60J27 - Continuous-time Markov processes on discrete state spaces [MSC 2020] |
| Soggetto non controllato |
Central Limit Theorem
Conditional Expectations Law of large numbers Markov Chains Martingales Probability Random processes Random sequences Semi-Markov processes Statistical Distributions Stochastic processes Stochastic topology Stopping time theorem |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124576 |
|
Girardin, Valérie
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Probability : From Random Sequences to Stochastic Processes / Valérie Girardin, Nikolaos Limnios
| Applied Probability : From Random Sequences to Stochastic Processes / Valérie Girardin, Nikolaos Limnios |
| Autore | Girardin, Valérie |
| Edizione | [Cham : Springer, 2018] |
| Pubbl/distr/stampa | XIII, 260 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Limnios, Nikolaos |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 60J27 - Continuous-time Markov processes on discrete state spaces [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124576 |
|
Girardin, Valérie
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||
| XIII, 260 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymptotic Properties of Permanental Sequences : Related to Birth and Death Processes and Autoregressive Gaussian Sequences / Michael B. Marcus, Jay Rosen
| Asymptotic Properties of Permanental Sequences : Related to Birth and Death Processes and Autoregressive Gaussian Sequences / Michael B. Marcus, Jay Rosen |
| Autore | Marcus, Michael B. |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xi, 114 p. : ill. ; 24 cm |
| Altri autori (Persone) | Rosen, Jay |
| Soggetto topico |
60G15 - Gaussian processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 60G17 - Sample path properties [MSC 2020] 60J27 - Continuous-time Markov processes on discrete state spaces [MSC 2020] 60E07 - Infinitely divisible distributions; stable distributions [MSC 2020] |
| Soggetto non controllato |
Asymptotic limits of stochastic processes
Autoregressive Gaussian sequences Birth and death processes Infinitely divisible processes Properties of permanental sequences Q-matrices Time-varying processes Uniform Markov chains |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274583 |
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Marcus, Michael B.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymptotic Theory of Weakly Dependent Random Processes / Emmanuel Rio
| Asymptotic Theory of Weakly Dependent Random Processes / Emmanuel Rio |
| Autore | Rio, Emmanuel |
| Pubbl/distr/stampa | Berlin, : Springer, 2017 |
| Descrizione fisica | xviii, 204 p. ; 24 cm |
| Soggetto topico |
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 60G10 - Stationary stochastic processes [MSC 2020] 60E15 - Inequalities; stochastic orderings [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 60Fxx - Limit theorems in probability theory [MSC 2020] |
| Soggetto non controllato |
Absolutely regular sequences
Central Limit Theorem Coupling Covariance inequalities Deviation inequalities Empirical processes Markov Chains Moment inequalities Strong laws of large numbers Strongly mixing sequences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123505 |
|
Rio, Emmanuel
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||
| Berlin, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymptotic Theory of Weakly Dependent Random Processes / Emmanuel Rio
| Asymptotic Theory of Weakly Dependent Random Processes / Emmanuel Rio |
| Autore | Rio, Emmanuel |
| Edizione | [Berlin : Springer, 2017] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 60G10 - Stationary stochastic processes [MSC 2020] 60E15 - Inequalities; stochastic orderings [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 60Fxx - Limit theorems in probability theory [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123505 |
|
Rio, Emmanuel
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors
| Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | vi, 417 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] |
| Soggetto non controllato |
Applied Data Science
Applied Statistics Bayesian Optimization Bayesian Statistics Bayesian computation Bayesian neural networks Big Data Case Studies in Data Science Case studies in Ecology Case studies in Health Composite likelihood Markov random fields Mixture models Spatial models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0132626 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Soggetto topico
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60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
(67)
- 60-XX - Probability theory and stochastic processes [MSC 2020] (23)
- 60J27 - Continuous-time Markov processes on discrete state spaces [MSC 2020] (14)
- 60Gxx - Stochastic processes [MSC 2020] (8)
- 60Cxx - Combinatorial probability [MSC 2020] (7)