In Memoriam Paul-André Meyer : Séminaire de Probabilités XXXIX / / edited by Michel Émery, Marc Yor |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin, Germany : , : Springer, , [2006] |
Descrizione fisica | 1 online resource (VIII, 422 p.) |
Disciplina | 519.2 |
Collana | Séminaire de Probabilités |
Soggetto topico | Stochastic analysis |
ISBN |
1-280-63504-5
9786610635047 3-540-35513-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Titres et Travaux : Postface -- The Life and Scientific Work of Paul André Meyer (August 21st, 1934 - January 30th, 2003) “Un modèle pour nous tous” -- Disparition de Paul-André Meyer -- Témoignages -- Kernel and Integral Representations of Operators on Infinite Dimensional Toy Fock Spaces -- Le Théorème de Pitman, le Groupe Quantique SUq(2), et une Question de P. A. Meyer -- A Simple Proof of Two Generalized Borel-Cantelli Lemmas -- Natural Decomposition of Processes and Weak Dirichlet Processes -- A Lost Scroll -- Stochastic Integration with Respect to a Sequence of Semimartingales -- On Almost Sure Convergence Results in Stochastic Calculus -- On a Condition that One-Dimensional Diffusion Processes are Martingales -- Ito's Integrated Formula for Strict Local Martingales -- Martingale-Valued Measures, Ornstein-Uhlenbeck Processes with Jumps and Operator Self-Decomposability in Hilbert Space -- Sandwiched Filtrations and Lévy Processes -- The Dalang–Morton–Willinger Theorem Under Delayed and Restricted Information -- The Structure of m–Stable Sets and in Particular of the Set of Risk Neutral Measures -- A Path Transformation of Brownian Motion -- Two Recursive Decompositions of Brownian Bridge Related to the Asymptotics of Random Mappings -- Pénalisations et Quelques Extensions du Théorème de Pitman, Relatives au Mouvement Brownien et à Son -- Some Remarkable Properties of the Dunkl Martingales -- Enroulements Browniens et Subordination dans les Groupes de Lie -- Stochastic Covariant Calculus with Jumps and Stochastic Calculus with Covariant Jumps. |
Altri titoli varianti | Séminaire de Probabilités XXXIX |
Record Nr. | UNISA-996466639803316 |
Berlin, Germany : , : Springer, , [2006] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Inference for diffusion processes : with applications in life sciences / / Christiane Fuchs |
Autore | Fuchs Christiane |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | New York, : Springer, 2013 |
Descrizione fisica | 1 online resource (437 p.) |
Disciplina | 519.233 |
Soggetto topico | Stochastic analysis |
ISBN |
1-299-19748-5
3-642-25969-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | pt. I. Stochastic modelling -- pt. II. Statistical inference -- pt. III. Applications. |
Record Nr. | UNINA-9910438144203321 |
Fuchs Christiane | ||
New York, : Springer, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Infinite dimensional stochastic analysis [[electronic resource] ] : in honor of Hui-Hsiung Kuo / / editors, Ambar N. Sengupta, P. Sundar |
Pubbl/distr/stampa | New Jersey, : World Scientific, c2008 |
Descrizione fisica | 1 online resource (257 p.) |
Disciplina | 519.2/2 |
Altri autori (Persone) |
KuoHui-Hsiung <1941->
SenguptaAmbar <1963-> SundarP (Padmanabhan) |
Collana | QP-PQ, quantum probability and white noise analysis |
Soggetto topico |
White noise theory
Stochastic analysis |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-93809-2
9786611938093 981-277-955-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
CONTENTS; Preface; Complex White Noise and the Infinite Dimensional Unitary Group T. Hida; 1. Introduction; 2. Complex white noise; 3. Infinite dimensional unitary group; 4. Subgroups of U(Ee); References; Complex Ito Formulas M. Redfern; 1. Introduction; 2. Background and Notation; 3. Complex White Noise Analysis; 4. Calculus of (Dc*)-Valued Processes; 5. Real Case; References; White Noise Analysis: Background and a Recent Application J. Becnel and A . N. Sengupta; 1. Introduction; 2. Background: The Schwartz Space as a Nuclear Space
2.1. Hermite polynomials, creation and annihilation operators2.2. The Schwartz space as a nuclear space; 2.3. The abstract formulation; 2.4. Gaussian measure in infinite dimensions; 3. White Noise Distribution Theory; 3.1. Wiener-Ito isomorphism; 3.2. Properties of test functions; 3.3. The Segal-Bargmann transform; 3.3.1. The S-transform over subspaces; 4. Application to Quantum Computing; 4.1. Quantum algorithms; 4.2. Hidden subspace algorithm; Acknowledgment; References; Probability Measures with Sub-Additive Principal Szego-Jacobi Parameters A. Stan; 1. Introduction; 2. Background 3. Wick product4. Random variables with sub-additive w-parameters; References; Donsker's Functional Calculus and Related Questions P.-L. Chow and J. Potthoff; 1. Introduction; 2. Donsker's Calculus; 3. Tools from White Noise Analysis and Malliavin Calclus; 3.1. Chaos Decomposition; 3.2. S-Transform; 3.3. Smooth and Generalized Random Variables; 3.4. Differential Operators; 3.5. Characterization Theorem and Wick Product; 4. Fourier-Wiener Transform; 5. Independence and Ito Calculus; 5.1. Independence of Generalized Random Variables; 5.2. Ito Calculus for Generalized Stochastic Processes 5.3. Donsker's Delta Function6. Towards Donsker's Calculus; References; Stochastic Analysis of Tidal Dynamics Equation U. Manna, J. L. Menaldi, and S. S. Sritharan; 1. Introduction; 2. Tidal Dynamics: The Model; 3. Deterministic Setting: Global Monotonicity and Solvability; 4. Stochastic Tide Equation; Acknowledgments; References; Adapted Solutions to the Backward Stochastic Navier-Stokes Equations in 3D P. Sundar and H. Yin; 1. Introduction; 2. Preliminaries; 3. A Priori Estimates; 4. Existence of Solutions; 5. Uniqueness of Solutions; References Spaces of Test and Generalized Functions of Arcsine White Noise Formulas A . Barhoumi, A . Riahi, and H. Ouerdiane1. Introduction; 2. Arcsine White Noise Space; 2.1. Arcsine space in one dimension; 2.2. Construction of the arcsine white noise space; 3. Arcsine Test and Generalized Functions Spaces; 4. Characterization Theorems; 4.1. The S-transform; 4.2. Characterization of test and generalized functions; References; An Infinite Dimensional Fourier-Mehler Transform and the Levy Laplacian K. Saito and K. Sakabe; 1. Introduction; 2. A compensated Levy process and the Levy distributions 3. The Levy Laplacian acting on the Levy distributions |
Record Nr. | UNINA-9910453201803321 |
New Jersey, : World Scientific, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Infinite dimensional stochastic analysis [[electronic resource] ] : in honor of Hui-Hsiung Kuo / / editors, Ambar N. Sengupta, P. Sundar |
Pubbl/distr/stampa | New Jersey, : World Scientific, c2008 |
Descrizione fisica | 1 online resource (257 p.) |
Disciplina | 519.2/2 |
Altri autori (Persone) |
KuoHui-Hsiung <1941->
SenguptaAmbar <1963-> SundarP (Padmanabhan) |
Collana | QP-PQ, quantum probability and white noise analysis |
Soggetto topico |
White noise theory
Stochastic analysis |
ISBN |
1-281-93809-2
9786611938093 981-277-955-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
CONTENTS; Preface; Complex White Noise and the Infinite Dimensional Unitary Group T. Hida; 1. Introduction; 2. Complex white noise; 3. Infinite dimensional unitary group; 4. Subgroups of U(Ee); References; Complex Ito Formulas M. Redfern; 1. Introduction; 2. Background and Notation; 3. Complex White Noise Analysis; 4. Calculus of (Dc*)-Valued Processes; 5. Real Case; References; White Noise Analysis: Background and a Recent Application J. Becnel and A . N. Sengupta; 1. Introduction; 2. Background: The Schwartz Space as a Nuclear Space
2.1. Hermite polynomials, creation and annihilation operators2.2. The Schwartz space as a nuclear space; 2.3. The abstract formulation; 2.4. Gaussian measure in infinite dimensions; 3. White Noise Distribution Theory; 3.1. Wiener-Ito isomorphism; 3.2. Properties of test functions; 3.3. The Segal-Bargmann transform; 3.3.1. The S-transform over subspaces; 4. Application to Quantum Computing; 4.1. Quantum algorithms; 4.2. Hidden subspace algorithm; Acknowledgment; References; Probability Measures with Sub-Additive Principal Szego-Jacobi Parameters A. Stan; 1. Introduction; 2. Background 3. Wick product4. Random variables with sub-additive w-parameters; References; Donsker's Functional Calculus and Related Questions P.-L. Chow and J. Potthoff; 1. Introduction; 2. Donsker's Calculus; 3. Tools from White Noise Analysis and Malliavin Calclus; 3.1. Chaos Decomposition; 3.2. S-Transform; 3.3. Smooth and Generalized Random Variables; 3.4. Differential Operators; 3.5. Characterization Theorem and Wick Product; 4. Fourier-Wiener Transform; 5. Independence and Ito Calculus; 5.1. Independence of Generalized Random Variables; 5.2. Ito Calculus for Generalized Stochastic Processes 5.3. Donsker's Delta Function6. Towards Donsker's Calculus; References; Stochastic Analysis of Tidal Dynamics Equation U. Manna, J. L. Menaldi, and S. S. Sritharan; 1. Introduction; 2. Tidal Dynamics: The Model; 3. Deterministic Setting: Global Monotonicity and Solvability; 4. Stochastic Tide Equation; Acknowledgments; References; Adapted Solutions to the Backward Stochastic Navier-Stokes Equations in 3D P. Sundar and H. Yin; 1. Introduction; 2. Preliminaries; 3. A Priori Estimates; 4. Existence of Solutions; 5. Uniqueness of Solutions; References Spaces of Test and Generalized Functions of Arcsine White Noise Formulas A . Barhoumi, A . Riahi, and H. Ouerdiane1. Introduction; 2. Arcsine White Noise Space; 2.1. Arcsine space in one dimension; 2.2. Construction of the arcsine white noise space; 3. Arcsine Test and Generalized Functions Spaces; 4. Characterization Theorems; 4.1. The S-transform; 4.2. Characterization of test and generalized functions; References; An Infinite Dimensional Fourier-Mehler Transform and the Levy Laplacian K. Saito and K. Sakabe; 1. Introduction; 2. A compensated Levy process and the Levy distributions 3. The Levy Laplacian acting on the Levy distributions |
Record Nr. | UNINA-9910782272003321 |
New Jersey, : World Scientific, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Infinite dimensional stochastic analysis : in honor of Hui-Hsiung Kuo / / editors, Ambar N. Sengupta, P. Sundar |
Edizione | [1st ed.] |
Pubbl/distr/stampa | New Jersey, : World Scientific, c2008 |
Descrizione fisica | 1 online resource (257 p.) |
Disciplina | 519.2/2 |
Altri autori (Persone) |
KuoHui-Hsiung <1941->
SenguptaAmbar <1963-> SundarP (Padmanabhan) |
Collana | QP-PQ, quantum probability and white noise analysis |
Soggetto topico |
White noise theory
Stochastic analysis |
ISBN |
1-281-93809-2
9786611938093 981-277-955-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
CONTENTS; Preface; Complex White Noise and the Infinite Dimensional Unitary Group T. Hida; 1. Introduction; 2. Complex white noise; 3. Infinite dimensional unitary group; 4. Subgroups of U(Ee); References; Complex Ito Formulas M. Redfern; 1. Introduction; 2. Background and Notation; 3. Complex White Noise Analysis; 4. Calculus of (Dc*)-Valued Processes; 5. Real Case; References; White Noise Analysis: Background and a Recent Application J. Becnel and A . N. Sengupta; 1. Introduction; 2. Background: The Schwartz Space as a Nuclear Space
2.1. Hermite polynomials, creation and annihilation operators2.2. The Schwartz space as a nuclear space; 2.3. The abstract formulation; 2.4. Gaussian measure in infinite dimensions; 3. White Noise Distribution Theory; 3.1. Wiener-Ito isomorphism; 3.2. Properties of test functions; 3.3. The Segal-Bargmann transform; 3.3.1. The S-transform over subspaces; 4. Application to Quantum Computing; 4.1. Quantum algorithms; 4.2. Hidden subspace algorithm; Acknowledgment; References; Probability Measures with Sub-Additive Principal Szego-Jacobi Parameters A. Stan; 1. Introduction; 2. Background 3. Wick product4. Random variables with sub-additive w-parameters; References; Donsker's Functional Calculus and Related Questions P.-L. Chow and J. Potthoff; 1. Introduction; 2. Donsker's Calculus; 3. Tools from White Noise Analysis and Malliavin Calclus; 3.1. Chaos Decomposition; 3.2. S-Transform; 3.3. Smooth and Generalized Random Variables; 3.4. Differential Operators; 3.5. Characterization Theorem and Wick Product; 4. Fourier-Wiener Transform; 5. Independence and Ito Calculus; 5.1. Independence of Generalized Random Variables; 5.2. Ito Calculus for Generalized Stochastic Processes 5.3. Donsker's Delta Function6. Towards Donsker's Calculus; References; Stochastic Analysis of Tidal Dynamics Equation U. Manna, J. L. Menaldi, and S. S. Sritharan; 1. Introduction; 2. Tidal Dynamics: The Model; 3. Deterministic Setting: Global Monotonicity and Solvability; 4. Stochastic Tide Equation; Acknowledgments; References; Adapted Solutions to the Backward Stochastic Navier-Stokes Equations in 3D P. Sundar and H. Yin; 1. Introduction; 2. Preliminaries; 3. A Priori Estimates; 4. Existence of Solutions; 5. Uniqueness of Solutions; References Spaces of Test and Generalized Functions of Arcsine White Noise Formulas A . Barhoumi, A . Riahi, and H. Ouerdiane1. Introduction; 2. Arcsine White Noise Space; 2.1. Arcsine space in one dimension; 2.2. Construction of the arcsine white noise space; 3. Arcsine Test and Generalized Functions Spaces; 4. Characterization Theorems; 4.1. The S-transform; 4.2. Characterization of test and generalized functions; References; An Infinite Dimensional Fourier-Mehler Transform and the Levy Laplacian K. Saito and K. Sakabe; 1. Introduction; 2. A compensated Levy process and the Levy distributions 3. The Levy Laplacian acting on the Levy distributions |
Record Nr. | UNINA-9910810337403321 |
New Jersey, : World Scientific, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
An innovation approach to random fields [[electronic resource] ] : application of white noise theory / / Takeyuki Hida, Si Si |
Autore | Hida Takeyuki <1927-2017.> |
Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, c2004 |
Descrizione fisica | 1 online resource (204 p.) |
Disciplina | 519.23 |
Altri autori (Persone) | SiSi |
Soggetto topico |
Stochastic analysis
Random fields |
ISBN |
1-281-87696-8
9786611876968 981-256-538-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface; Contents; 1. Introduction; 2. White Noise; 3. Poisson Noise; 4. Random Fields; 5 Gaussian Random Fields; 6 Some Non-Gaussian Random Fields; 7 Variational Calculus For Random Fields; 8 Innovation Approach; 9 Reversibility; 10 Applications; Appendix; Epilogue; List of Notations; Bibliography; Index |
Record Nr. | UNINA-9910783223503321 |
Hida Takeyuki <1927-2017.> | ||
Singapore ; ; London, : World Scientific, c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
An innovation approach to random fields [[electronic resource] ] : application of white noise theory / / Takeyuki Hida, Si Si |
Autore | Takeyuki Hida |
Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, c2004 |
Descrizione fisica | 1 online resource (204 p.) |
Disciplina | 519.23 |
Altri autori (Persone) | SiSi |
Soggetto topico |
Stochastic analysis
Random fields |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-87696-8
9786611876968 981-256-538-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface; Contents; 1. Introduction; 2. White Noise; 3. Poisson Noise; 4. Random Fields; 5 Gaussian Random Fields; 6 Some Non-Gaussian Random Fields; 7 Variational Calculus For Random Fields; 8 Innovation Approach; 9 Reversibility; 10 Applications; Appendix; Epilogue; List of Notations; Bibliography; Index |
Record Nr. | UNINA-9910450111703321 |
Takeyuki Hida | ||
Singapore ; ; London, : World Scientific, c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
An innovation approach to random fields : application of white noise theory / / Takeyuki Hida, Si Si |
Autore | Takeyuki Hida |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, c2004 |
Descrizione fisica | 1 online resource (204 p.) |
Disciplina | 519.23 |
Altri autori (Persone) | SiSi |
Soggetto topico |
Stochastic analysis
Random fields |
ISBN |
1-281-87696-8
9786611876968 981-256-538-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface; Contents; 1. Introduction; 2. White Noise; 3. Poisson Noise; 4. Random Fields; 5 Gaussian Random Fields; 6 Some Non-Gaussian Random Fields; 7 Variational Calculus For Random Fields; 8 Innovation Approach; 9 Reversibility; 10 Applications; Appendix; Epilogue; List of Notations; Bibliography; Index |
Record Nr. | UNINA-9910822690203321 |
Takeyuki Hida | ||
Singapore ; ; London, : World Scientific, c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
International journal of stochastic analysis |
Pubbl/distr/stampa | New York, NY, : Hindawi Pub. Corp |
Soggetto topico | Stochastic analysis |
Soggetto genere / forma | Periodicals. |
Soggetto non controllato | Operations Research |
ISSN | 2090-3340 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti | IJSA |
Record Nr. | UNISA-996335520403316 |
New York, NY, : Hindawi Pub. Corp | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
International journal of stochastic analysis |
Pubbl/distr/stampa | New York, NY, : Hindawi Pub. Corp |
Soggetto topico |
Stochastic analysis
Analyse stochastique |
Soggetto genere / forma | Periodicals. |
Soggetto non controllato | Operations Research |
ISSN | 2090-3340 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti | IJSA |
Record Nr. | UNINA-9910140634903321 |
New York, NY, : Hindawi Pub. Corp | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|