Marginal and Functional Quantization of Stochastic Processes / Harald Luschgy, Gilles Pagès |
Autore | Luschgy, Harald |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | xviii, 912 p. : ill. ; 24 cm |
Altri autori (Persone) | Pagès, Gilles |
Soggetto non controllato |
Cluster algorithms
Continuous-time stochastic processes Discretization Methods Luschgy Graf Numerical Probability Numerical methods in probability Pages Numerical Probability Random vectors Signal processing Signal transmission Space discretizations Unsupervised learning Vector Quantization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0279517 |
Luschgy, Harald
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Cham, : Springer, 2023 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Marginal and Functional Quantization of Stochastic Processes / Harald Luschgy, Gilles Pagès |
Autore | Luschgy, Harald |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | xviii, 912 p. : ill. ; 24 cm |
Altri autori (Persone) | Pagès, Gilles |
Soggetto topico |
46N30 - Applications of functional analysis in probability theory and statistics [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 60B11 - Probability theory on linear topological spaces [MSC 2020] 60G15 - Gaussian processes [MSC 2020] 65C30 - Numerical solutions to stochastic differential and integral equations [MSC 2020] |
Soggetto non controllato |
Cluster algorithms
Continuous-time stochastic processes Discretization Methods Luschgy Graf Numerical Probability Numerical methods in probability Pages Numerical Probability Random vectors Signal processing Signal transmission Space discretizations Unsupervised learning Vector Quantization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00279517 |
Luschgy, Harald
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||
Cham, : Springer, 2023 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Numerical Probability : An Introduction with Applications to Finance / Gilles Pagès |
Autore | Pagès, Gilles |
Pubbl/distr/stampa | Cham, : Springer, 2018 |
Descrizione fisica | xxi, 579 p. : ill. ; 24 cm |
Soggetto topico |
65C30 - Numerical solutions to stochastic differential and integral equations [MSC 2020]
60G40 - Stopping times; optimal stopping problems; gambling theory [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 91G20 - Derivative securities (option pricing, hedging, etc.) [MSC 2020] 91G30 - Interest rates, asset pricing, etc. (stochastic models) [MSC 2020] 60H35 - Computational methods for stochastic equations (aspects of stochastic analysis) [MSC 2020] 62L20 - Stochastic approximation [MSC 2020] 91G60 - Numerical methods (including Monte Carlo methods) [MSC 2020] 62L15 - Optimal stopping in statistics [MSC 2020] |
Soggetto non controllato |
American option
Euler schemes Greeks Least squares regression methods Malliavin Monte Carlo Milstein schemes Monte Carlo Methods Multilevel extrapolation methods Optimal vector quantization Pricing of derivative products Quantization schemes Quasi-Monte Carlo methods Risk measures Romberg extrapolation methods Sensitivity computation Stochastic Approximations Stochastic differential equation discretization schemes Tangent process and log-likelihood method Value-at-Risk (conditional) Variance reduction |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0124914 |
Pagès, Gilles
![]() |
||
Cham, : Springer, 2018 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Numerical Probability : An Introduction with Applications to Finance / Gilles Pagès |
Autore | Pagès, Gilles |
Pubbl/distr/stampa | Cham, : Springer, 2018 |
Descrizione fisica | xxi, 579 p. : ill. ; 24 cm |
Soggetto topico |
60G40 - Stopping times; optimal stopping problems; gambling theory [MSC 2020]
60H35 - Computational methods for stochastic equations (aspects of stochastic analysis) [MSC 2020] 62L15 - Optimal stopping in statistics [MSC 2020] 62L20 - Stochastic approximation [MSC 2020] 65C30 - Numerical solutions to stochastic differential and integral equations [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 91G20 - Derivative securities (option pricing, hedging, etc.) [MSC 2020] 91G30 - Interest rates, asset pricing, etc. (stochastic models) [MSC 2020] 91G60 - Numerical methods (including Monte Carlo methods) [MSC 2020] |
Soggetto non controllato |
American option
Euler schemes Greeks Least squares regression methods Malliavin Monte Carlo Milstein schemes Monte Carlo Methods Multilevel extrapolation methods Optimal vector quantization Pricing of derivative products Quantization schemes Quasi-Monte Carlo methods Risk measures Romberg extrapolation methods Sensitivity computation Stochastic Approximations Stochastic differential equation discretization schemes Tangent process and log-likelihood method Value-at-Risk (conditional) Variance reduction |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00124914 |
Pagès, Gilles
![]() |
||
Cham, : Springer, 2018 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Numerical Probability : An Introduction with Applications to Finance / Gilles Pagès |
Autore | Pagès, Gilles |
Edizione | [Cham : Springer, 2018] |
Pubbl/distr/stampa | xxi, 579 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
65C30 - Numerical solutions to stochastic differential and integral equations [MSC 2020]
60G40 - Stopping times; optimal stopping problems; gambling theory [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 91G20 - Derivative securities (option pricing, hedging, etc.) [MSC 2020] 91G30 - Interest rates, asset pricing, etc. (stochastic models) [MSC 2020] 60H35 - Computational methods for stochastic equations (aspects of stochastic analysis) [MSC 2020] 62L20 - Stochastic approximation [MSC 2020] 91G60 - Numerical methods (including Monte Carlo methods) [MSC 2020] 62L15 - Optimal stopping in statistics [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0124914 |
Pagès, Gilles
![]() |
||
xxi, 579 p., : ill. ; 24 cm | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|