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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 |
60-XX - Probability theory and stochastic processes [MSC 2020]
60E07 - Infinitely divisible distributions; stable distributions [MSC 2020] 60G15 - Gaussian processes [MSC 2020] 60G17 - Sample path properties [MSC 2020] 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 60J27 - Continuous-time Markov processes on discrete state spaces [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-VAN00274583 |
Marcus, Michael B.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
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Rio, Emmanuel
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| Berlin, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
60-XX - Probability theory and stochastic processes [MSC 2020]
60E15 - Inequalities; stochastic orderings [MSC 2020] 60Fxx - Limit theorems in probability theory [MSC 2020] 60G10 - Stationary stochastic processes [MSC 2020] 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 62Gxx - Nonparametric inference [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-VAN00123505 |
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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 |
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Rio, Emmanuel
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 | ||
| ||
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] 62G05 - Nonparametric estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [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-VAN00132626 |
| Cham, : Springer, 2020 | ||
| 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 |
| Edizione | [Cham : Springer, 2020] |
| Pubbl/distr/stampa | vi, 417 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| 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] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0132626 |
| vi, 417 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Combinatorial Matrix Theory / Richard A. Brualdi ... [et al.] ; Andrés M. Encinas, Margarida Mitjana editors
| Combinatorial Matrix Theory / Richard A. Brualdi ... [et al.] ; Andrés M. Encinas, Margarida Mitjana editors |
| Pubbl/distr/stampa | Cham, : Birkhauser, 2018 |
| Descrizione fisica | xi, 217 p. : ill. ; 24 cm |
| Soggetto topico |
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
05E05 - Symmetric functions and generalizations [MSC 2020] 05Cxx - Graph theory [MSC 2020] 31C20 - Discrete potential theory [MSC 2020] 05Axx - Enumerative combinatorics [MSC 2020] 34B45 - Boundary value problems on graphs and networks for ordinary differential equations [MSC 2020] 15Axx - Basic linear algebra [MSC 2020] 15Bxx - Special matrices [MSC 2020] |
| Soggetto non controllato |
Adjacency
Combinatorics Discrete potential theory Eigenvalues and Eigenvectors Generalized inverse Laplacian Matrix theory Ordinary differential equations Permutation matrices Sign pattern matrices Tournament matrices |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124606 |
| Cham, : Birkhauser, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Combinatorial Matrix Theory / Richard A. Brualdi ... [et al.] ; Andrés M. Encinas, Margarida Mitjana editors
| Combinatorial Matrix Theory / Richard A. Brualdi ... [et al.] ; Andrés M. Encinas, Margarida Mitjana editors |
| Pubbl/distr/stampa | Cham, : Birkhauser, 2018 |
| Descrizione fisica | xi, 217 p. : ill. ; 24 cm |
| Soggetto topico |
05Axx - Enumerative combinatorics [MSC 2020]
05Cxx - Graph theory [MSC 2020] 05E05 - Symmetric functions and generalizations [MSC 2020] 15Axx - Basic linear algebra [MSC 2020] 15Bxx - Special matrices [MSC 2020] 31C20 - Discrete potential theory [MSC 2020] 34B45 - Boundary value problems on graphs and networks for ordinary differential equations [MSC 2020] 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] |
| Soggetto non controllato |
Adjacency
Combinatorics Discrete potential theory Eigenvalues and Eigenvectors Generalized inverse Laplacian Matrix theory Ordinary differential equations Permutation matrices Sign pattern matrices Tournament matrices |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124606 |
| Cham, : Birkhauser, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Combinatorial Matrix Theory / Richard A. Brualdi ... [et al.] ; Andrés M. Encinas, Margarida Mitjana editors
| Combinatorial Matrix Theory / Richard A. Brualdi ... [et al.] ; Andrés M. Encinas, Margarida Mitjana editors |
| Edizione | [Cham : Birkhauser, 2018] |
| Pubbl/distr/stampa | xi, 217 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]
05E05 - Symmetric functions and generalizations [MSC 2020] 05Cxx - Graph theory [MSC 2020] 31C20 - Discrete potential theory [MSC 2020] 05Axx - Enumerative combinatorics [MSC 2020] 34B45 - Boundary value problems on graphs and networks for ordinary differential equations [MSC 2020] 15Axx - Basic linear algebra [MSC 2020] 15Bxx - Special matrices [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124606 |
| xi, 217 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]
(108)
- 60-XX - Probability theory and stochastic processes [MSC 2020] (40)
- 60J27 - Continuous-time Markov processes on discrete state spaces [MSC 2020] (23)
- 60Cxx - Combinatorial probability [MSC 2020] (12)
- 60Gxx - Stochastic processes [MSC 2020] (12)