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Penalising Brownian Paths [[electronic resource] /] / by Bernard Roynette, Marc Yor
Penalising Brownian Paths [[electronic resource] /] / by Bernard Roynette, Marc Yor
Autore Roynette Bernard
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (XIII, 275 p.)
Disciplina 530.475
Collana Lecture Notes in Mathematics
Soggetto topico Probabilities
Probability Theory and Stochastic Processes
Soggetto non controllato Brownian motion processes
Martingales (Mathematics)
ISBN 3-540-89699-6
Classificazione MAT 604f
MAT 605f
MAT 607f
SI 850
*60-02
17,1
31.70
60-06
60F99
60G30
60G44
60J25
60J55
60J65
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Some penalisations of theWiener measure -- Feynman-Kac penalisations for Brownian motion -- Penalisations of a Bessel process with dimension d(0 d 2) by a function of the ranked lengths of its excursions -- A general principle and some questions about penalisations.
Record Nr. UNISA-996466477003316
Roynette Bernard  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Penalising Brownian paths / / Bernard Roynette, Marc Yor
Penalising Brownian paths / / Bernard Roynette, Marc Yor
Autore Roynette Bernard
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, : Springer, c2009
Descrizione fisica 1 online resource (XIII, 275 p.)
Disciplina 530.475
Altri autori (Persone) YorMarc
Collana Lecture notes in mathematics
Soggetto topico Brownian motion processes
Martingales (Mathematics)
ISBN 3-540-89699-6
Classificazione MAT 604f
MAT 605f
MAT 607f
SI 850
*60-02
17,1
31.70
60-06
60F99
60G30
60G44
60J25
60J55
60J65
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Some penalisations of theWiener measure -- Feynman-Kac penalisations for Brownian motion -- Penalisations of a Bessel process with dimension d(0 d 2) by a function of the ranked lengths of its excursions -- A general principle and some questions about penalisations.
Record Nr. UNINA-9910483753603321
Roynette Bernard  
Berlin, : Springer, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Potential analysis of stable processes and its extensions / / Krzysztof Bogdan, 6 others, volume editors Piotr Graczyk, Andrzej Stos
Potential analysis of stable processes and its extensions / / Krzysztof Bogdan, 6 others, volume editors Piotr Graczyk, Andrzej Stos
Autore Bogdan Krzysztof
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Germany : , : Springer, , [2009]
Descrizione fisica 1 online resource (200 p.)
Disciplina 510
Collana Lecture notes in mathematics
Soggetto topico Functional analysis
Potential theory (Mathematics)
Analyse fonctionnelle
ISBN 1-282-65579-5
9786612655791
3-642-02141-7
Classificazione 60J4560G5260J5060J7531B2531C0531C3531C25
MAT 315f
MAT 605f
MAT 607f
SI 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Boundary Potential Theory for Schr#x00F6;dinger Operators Based on Fractional Laplacian -- Nontangential Convergence for #x03B1;-harmonic Functions -- Eigenvalues and Eigenfunctions for Stable Processes -- Potential Theory of Subordinate Brownian Motion.
Record Nr. UNINA-9910483950203321
Bogdan Krzysztof  
Berlin, Germany : , : Springer, , [2009]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Potential analysis of stable processes and its extensions / / Krzysztof Bogdan, 6 others, volume editors Piotr Graczyk, Andrzej Stos
Potential analysis of stable processes and its extensions / / Krzysztof Bogdan, 6 others, volume editors Piotr Graczyk, Andrzej Stos
Autore Bogdan Krzysztof
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Germany : , : Springer, , [2009]
Descrizione fisica 1 online resource (200 p.)
Disciplina 510
Collana Lecture notes in mathematics
Soggetto topico Functional analysis
Potential theory (Mathematics)
Analyse fonctionnelle
ISBN 1-282-65579-5
9786612655791
3-642-02141-7
Classificazione 60J4560G5260J5060J7531B2531C0531C3531C25
MAT 315f
MAT 605f
MAT 607f
SI 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Boundary Potential Theory for Schr#x00F6;dinger Operators Based on Fractional Laplacian -- Nontangential Convergence for #x03B1;-harmonic Functions -- Eigenvalues and Eigenfunctions for Stable Processes -- Potential Theory of Subordinate Brownian Motion.
Record Nr. UNISA-996466475403316
Bogdan Krzysztof  
Berlin, Germany : , : Springer, , [2009]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Stochastic Algorithms: Foundations and Applications [[electronic resource] ] : 5th International Symposium, SAGA 2009 Sapporo, Japan, October 26-28, 2009 Proceedings / / edited by Osamu Watanabe, Thomas Zeugmann
Stochastic Algorithms: Foundations and Applications [[electronic resource] ] : 5th International Symposium, SAGA 2009 Sapporo, Japan, October 26-28, 2009 Proceedings / / edited by Osamu Watanabe, Thomas Zeugmann
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (X, 221 p.)
Disciplina 519.2/2
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence—Data processing
Probabilities
Algorithms
Computer science—Mathematics
Mathematical statistics
Theory of Computation
Data Science
Probability Theory
Probability and Statistics in Computer Science
ISBN 3-642-04944-3
Classificazione DAT 537f
MAT 605f
MAT 914f
SS 4800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Scenario Reduction Techniques in Stochastic Programming -- Statistical Learning of Probabilistic BDDs -- Regular Contributions -- Learning Volatility of Discrete Time Series Using Prediction with Expert Advice -- Prediction of Long-Range Dependent Time Series Data with Performance Guarantee -- Bipartite Graph Representation of Multiple Decision Table Classifiers -- Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies -- On Evolvability: The Swapping Algorithm, Product Distributions, and Covariance -- A Generic Algorithm for Approximately Solving Stochastic Graph Optimization Problems -- How to Design a Linear Cover Time Random Walk on a Finite Graph -- Propagation Connectivity of Random Hypergraphs -- Graph Embedding through Random Walk for Shortest Paths Problems -- Relational Properties Expressible with One Universal Quantifier Are Testable -- Theoretical Analysis of Local Search in Software Testing -- Firefly Algorithms for Multimodal Optimization -- Economical Caching with Stochastic Prices -- Markov Modelling of Mitochondrial BAK Activation Kinetics during Apoptosis -- Stochastic Dynamics of Logistic Tumor Growth.
Record Nr. UNISA-996465304603316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Stochastic algorithms: foundations and applications : 5th international symposium, SAGA 2009, Sappora, Japan, October 26-28, 2009, proceedings / / Osamu Watanabe, Thomas Zeugmann (eds.)
Stochastic algorithms: foundations and applications : 5th international symposium, SAGA 2009, Sappora, Japan, October 26-28, 2009, proceedings / / Osamu Watanabe, Thomas Zeugmann (eds.)
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, : Springer-Verlag, c2009
Descrizione fisica 1 online resource (X, 221 p.)
Disciplina 519.2/2
Altri autori (Persone) WatanabeOsamu
ZeugmannThomas
Collana Lecture notes in computer science
Soggetto topico Algorithms
Stochastic approximation
Computer science - Mathematics
ISBN 3-642-04944-3
Classificazione DAT 537f
MAT 605f
MAT 914f
SS 4800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Scenario Reduction Techniques in Stochastic Programming -- Statistical Learning of Probabilistic BDDs -- Regular Contributions -- Learning Volatility of Discrete Time Series Using Prediction with Expert Advice -- Prediction of Long-Range Dependent Time Series Data with Performance Guarantee -- Bipartite Graph Representation of Multiple Decision Table Classifiers -- Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies -- On Evolvability: The Swapping Algorithm, Product Distributions, and Covariance -- A Generic Algorithm for Approximately Solving Stochastic Graph Optimization Problems -- How to Design a Linear Cover Time Random Walk on a Finite Graph -- Propagation Connectivity of Random Hypergraphs -- Graph Embedding through Random Walk for Shortest Paths Problems -- Relational Properties Expressible with One Universal Quantifier Are Testable -- Theoretical Analysis of Local Search in Software Testing -- Firefly Algorithms for Multimodal Optimization -- Economical Caching with Stochastic Prices -- Markov Modelling of Mitochondrial BAK Activation Kinetics during Apoptosis -- Stochastic Dynamics of Logistic Tumor Growth.
Record Nr. UNINA-9910484658803321
Berlin, : Springer-Verlag, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic simulation and applications in finance with MATLAB programs [[electronic resource] /] / Huu Tue Huynh, Van Son Lai and Issouf Soumaré
Stochastic simulation and applications in finance with MATLAB programs [[electronic resource] /] / Huu Tue Huynh, Van Son Lai and Issouf Soumaré
Autore Huynh Huu Tue
Pubbl/distr/stampa Chichester, England ; ; Hoboken, N.J., : John Wiley & Sons, c2008
Descrizione fisica 1 online resource (356 p.)
Disciplina 332.01/51923
332.0151923
Altri autori (Persone) LaiVan Son
SoumaréIssouf
Collana Wiley finance
Soggetto topico Finance - Mathematical models
Stochastic models
ISBN 1-283-37237-1
9786613372376
1-118-46737-X
0-470-72213-4
Classificazione DAT 306f
MAT 605f
QP 890
ST 601 M35
WIR 160f
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Stochastic Simulation and Applications in Finance with MATLAB® Programs; Contents; Preface; 1 Introduction to Probability; 1.1 Intuitive Explanation; 1.1.1 Frequencies; 1.1.2 Number of Favorable Cases Over The Total Number of Cases; 1.2 Axiomatic Definition; 1.2.1 Random Experiment; 1.2.2 Event; 1.2.3 Algebra of Events; 1.2.4 Probability Axioms; 1.2.5 Conditional Probabilities; 1.2.6 Independent Events; 2 Introduction to Random Variables; 2.1 Random Variables; 2.1.1 Cumulative Distribution Function; 2.1.2 Probability Density Function
2.1.3 Mean, Variance and Higher Moments of a Random Variable2.1.4 Characteristic Function of a Random Variable; 2.2 Random vectors; 2.2.1 Cumulative Distribution Function of a Random Vector; 2.2.2 Probability Density Function of a Random Vector; 2.2.3 Marginal Distribution of a Random Vector; 2.2.4 Conditional Distribution of a Random Vector; 2.2.5 Mean, Variance and Higher Moments of a Random Vector; 2.2.6 Characteristic Function of a Random Vector; 2.3 Transformation of Random Variables; 2.4 Transformation of Random Vectors
2.5 Approximation of the Standard Normal Cumulative Distribution Function3 Random Sequences; 3.1 Sum of Independent Random Variables; 3.2 Law of Large Numbers; 3.3 Central Limit Theorem; 3.4 Convergence of Sequences of Random Variables; 3.4.1 Sure Convergence; 3.4.2 Almost Sure Convergence; 3.4.3 Convergence in Probability; 3.4.4 Convergence in Quadratic Mean; 4 Introduction to Computer Simulation of Random Variables; 4.1 Uniform Random Variable Generator; 4.2 Generating Discrete Random Variables; 4.2.1 Finite Discrete Random Variables
4.2.2 Infinite Discrete Random Variables: Poisson Distribution4.3 Simulation of Continuous Random Variables; 4.3.1 Cauchy Distribution; 4.3.2 Exponential Law; 4.3.3 Rayleigh Random Variable; 4.3.4 Gaussian Distribution; 4.4 Simulation of Random Vectors; 4.4.1 Case of a Two-Dimensional Random Vector; 4.4.2 Cholesky Decomposition of the Variance-Covariance Matrix; 4.4.3 Eigenvalue Decomposition of the Variance-Covariance Matrix; 4.4.4 Simulation of a Gaussian Random Vector with MATLAB; 4.5 Acceptance-Rejection Method; 4.6 Markov Chain Monte Carlo Method (MCMC)
4.6.1 Definition of a Markov Process4.6.2 Description of the MCMC Technique; 5 Foundations of Monte Carlo Simulations; 5.1 Basic Idea; 5.2 Introduction to the Concept of Precision; 5.3 Quality of Monte Carlo Simulations Results; 5.4 Improvement of the Quality of Monte Carlo Simulations or Variance Reduction Techniques; 5.4.1 Quadratic Resampling; 5.4.2 Reduction of the Number of Simulations Using Antithetic Variables; 5.4.3 Reduction of the Number of Simulations Using Control Variates; 5.4.4 Importance Sampling; 5.5 Application Cases of Random Variables Simulations
5.5.1 Application Case: Generation of Random Variables as a Function of the Number of Simulations
Record Nr. UNINA-9910139741303321
Huynh Huu Tue  
Chichester, England ; ; Hoboken, N.J., : John Wiley & Sons, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic simulation and applications in finance with MATLAB programs [[electronic resource] /] / Huu Tue Huynh, Van Son Lai and Issouf Soumaré
Stochastic simulation and applications in finance with MATLAB programs [[electronic resource] /] / Huu Tue Huynh, Van Son Lai and Issouf Soumaré
Autore Huynh Huu Tue
Pubbl/distr/stampa Chichester, England ; ; Hoboken, N.J., : John Wiley & Sons, c2008
Descrizione fisica 1 online resource (356 p.)
Disciplina 332.01/51923
332.0151923
Altri autori (Persone) LaiVan Son
SoumaréIssouf
Collana Wiley finance
Soggetto topico Finance - Mathematical models
Stochastic models
ISBN 1-283-37237-1
9786613372376
1-118-46737-X
0-470-72213-4
Classificazione DAT 306f
MAT 605f
QP 890
ST 601 M35
WIR 160f
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Stochastic Simulation and Applications in Finance with MATLAB® Programs; Contents; Preface; 1 Introduction to Probability; 1.1 Intuitive Explanation; 1.1.1 Frequencies; 1.1.2 Number of Favorable Cases Over The Total Number of Cases; 1.2 Axiomatic Definition; 1.2.1 Random Experiment; 1.2.2 Event; 1.2.3 Algebra of Events; 1.2.4 Probability Axioms; 1.2.5 Conditional Probabilities; 1.2.6 Independent Events; 2 Introduction to Random Variables; 2.1 Random Variables; 2.1.1 Cumulative Distribution Function; 2.1.2 Probability Density Function
2.1.3 Mean, Variance and Higher Moments of a Random Variable2.1.4 Characteristic Function of a Random Variable; 2.2 Random vectors; 2.2.1 Cumulative Distribution Function of a Random Vector; 2.2.2 Probability Density Function of a Random Vector; 2.2.3 Marginal Distribution of a Random Vector; 2.2.4 Conditional Distribution of a Random Vector; 2.2.5 Mean, Variance and Higher Moments of a Random Vector; 2.2.6 Characteristic Function of a Random Vector; 2.3 Transformation of Random Variables; 2.4 Transformation of Random Vectors
2.5 Approximation of the Standard Normal Cumulative Distribution Function3 Random Sequences; 3.1 Sum of Independent Random Variables; 3.2 Law of Large Numbers; 3.3 Central Limit Theorem; 3.4 Convergence of Sequences of Random Variables; 3.4.1 Sure Convergence; 3.4.2 Almost Sure Convergence; 3.4.3 Convergence in Probability; 3.4.4 Convergence in Quadratic Mean; 4 Introduction to Computer Simulation of Random Variables; 4.1 Uniform Random Variable Generator; 4.2 Generating Discrete Random Variables; 4.2.1 Finite Discrete Random Variables
4.2.2 Infinite Discrete Random Variables: Poisson Distribution4.3 Simulation of Continuous Random Variables; 4.3.1 Cauchy Distribution; 4.3.2 Exponential Law; 4.3.3 Rayleigh Random Variable; 4.3.4 Gaussian Distribution; 4.4 Simulation of Random Vectors; 4.4.1 Case of a Two-Dimensional Random Vector; 4.4.2 Cholesky Decomposition of the Variance-Covariance Matrix; 4.4.3 Eigenvalue Decomposition of the Variance-Covariance Matrix; 4.4.4 Simulation of a Gaussian Random Vector with MATLAB; 4.5 Acceptance-Rejection Method; 4.6 Markov Chain Monte Carlo Method (MCMC)
4.6.1 Definition of a Markov Process4.6.2 Description of the MCMC Technique; 5 Foundations of Monte Carlo Simulations; 5.1 Basic Idea; 5.2 Introduction to the Concept of Precision; 5.3 Quality of Monte Carlo Simulations Results; 5.4 Improvement of the Quality of Monte Carlo Simulations or Variance Reduction Techniques; 5.4.1 Quadratic Resampling; 5.4.2 Reduction of the Number of Simulations Using Antithetic Variables; 5.4.3 Reduction of the Number of Simulations Using Control Variates; 5.4.4 Importance Sampling; 5.5 Application Cases of Random Variables Simulations
5.5.1 Application Case: Generation of Random Variables as a Function of the Number of Simulations
Record Nr. UNINA-9910814678603321
Huynh Huu Tue  
Chichester, England ; ; Hoboken, N.J., : John Wiley & Sons, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui