Fractal-based point processes [[electronic resource] /] / Steven Bradley Lowen, Malvin Carl Teich |
Autore | Lowen Steven Bradley <1962-> |
Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2005 |
Descrizione fisica | 1 online resource (628 p.) |
Disciplina |
514.742
519.2/3 519.23 |
Altri autori (Persone) | TeichMalvin Carl |
Collana | Wiley Series in Probability and Statistics |
Soggetto topico |
Point processes
Fractals |
ISBN |
1-280-27839-0
9786610278398 0-470-35478-X 0-471-75472-2 0-471-75470-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Fractal-Based Point Processes; Preface; Contents; List of Figures; List of Figures; List of Tables; List of Tables; Authors; 1 Introduction; 1.1 Fractals; 1.1 Coastline of Iceland at different scales; 1.2 Point Processes; 1.3 Fractal-Based Point Processes; 1.2 Vehicular-traffic point process; Problems; 1.1 Length of Icelandic coastline at different scales; 1.2 Polygon approximation for perimeter of circle; 2 Scaling, Fractals, and Chaos; 2.1 Dimension; 2.1 Representative objects: measurements and dimensions; 2.2 Scaling Functions; 2.3 Fractals; 2.4 Examples of Fractals
2.1 Cantor-set construction2.2 Realization of Brownian motion; 2.3 Fern: a nonrandom natural fractal; 2.4 Grand Canyon: a random natural fractal; 2.5 Examples of Nonfractals; 2.5 Realization of a homogeneous Poisson process; 2.6 Deterministic Chaos; 2.6 Nonchaotic system with nonfractal attractor: time course; 2.7 Chaotic system with nonfractal attractor: time course; 2.8 Chaotic system with fractal attractor; 2.9 Chaotic system with fractal attractor: time course; 2.10 Nonchaotic system with fractal attractor; 2.7 Origins of Fractal Behavior 2.11 Nonchaotic system with fractal attractor: time course2.8 Ubiquity of Fractal Behavior; Problems; 3 Point Processes: Definition and Measures; 3.1 Point Processes; 3.2 Representations; 3.1 Point-process representations; 3.3 Interval-Based Measures; 3.2 Rescaled-range analysis: pseudocode; 3.3 Rescaled-range analysis: illustration; 3.4 Detrended fluctuation analysis: pseudocode; 3.4 Count-Based Measures; 3.5 Detrended fluctuation analysis: illustration; 3.6 Construction of normalized variances; 3.5 Other Measures; Problems; 4 Point Processes: Examples; 4.1 Homogeneous Poisson Point Process 4.2 Renewal Point Processes4.3 Doubly Stochastic Poisson Point Processes; 4.1 Stochastic-rate point processes; 4.4 Integrate-and-Reset Point Processes; 4.5 Cascaded Point Processes; 4.2 Cascaded point process; 4.6 Branching Point Processes; 4.7 Lévy-Dust Counterexample; Problems; 5 Fractal and Fractal-Rate Point Processes; 5.1 Measures of Fractal Behavior in Point Processes; 5.2 Ranges of Power-Law Exponents; 5.3 Relationships among Measures; 5.4 Examples of Fractal Behavior in Point Processes; 5.1 Representative rate spectra; 5.2 Representative normalized Haar-wavelet variances 5.5 Fractal-Based Point Processes5.3 Normalized Daubechies-wavelet variances; 5.4 Fractal and nonfractal point processes; 5.5 Fractal-rate and nonfractal point processes; Problems; 5.6 Estimated normalized-variance curves; 5.7 Representative interval spectra; 5.8 Representative interval wavelet variances; 5.9 Representative interevent-interval histograms; 5.10 Representative capacity dimensions; 5.11 Generalized dimensions for an exocytic point process; 6 Processes Based on Fractional Brownian Motion; 6.1 Fractional Brownian Motion; 6.1 Realizations of fractional Brownian motion 6.2 Fractional Gaussian Noise |
Record Nr. | UNINA-9910829972603321 |
Lowen Steven Bradley <1962-> | ||
Hoboken, N.J., : Wiley-Interscience, 2005 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Fractal-based point processes [[electronic resource] /] / Steven Bradley Lowen, Malvin Carl Teich |
Autore | Lowen Steven Bradley <1962-> |
Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2005 |
Descrizione fisica | 1 online resource (628 p.) |
Disciplina |
514.742
519.2/3 519.23 |
Altri autori (Persone) | TeichMalvin Carl |
Collana | Wiley Series in Probability and Statistics |
Soggetto topico |
Point processes
Fractals |
ISBN |
1-280-27839-0
9786610278398 0-470-35478-X 0-471-75472-2 0-471-75470-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Fractal-Based Point Processes; Preface; Contents; List of Figures; List of Figures; List of Tables; List of Tables; Authors; 1 Introduction; 1.1 Fractals; 1.1 Coastline of Iceland at different scales; 1.2 Point Processes; 1.3 Fractal-Based Point Processes; 1.2 Vehicular-traffic point process; Problems; 1.1 Length of Icelandic coastline at different scales; 1.2 Polygon approximation for perimeter of circle; 2 Scaling, Fractals, and Chaos; 2.1 Dimension; 2.1 Representative objects: measurements and dimensions; 2.2 Scaling Functions; 2.3 Fractals; 2.4 Examples of Fractals
2.1 Cantor-set construction2.2 Realization of Brownian motion; 2.3 Fern: a nonrandom natural fractal; 2.4 Grand Canyon: a random natural fractal; 2.5 Examples of Nonfractals; 2.5 Realization of a homogeneous Poisson process; 2.6 Deterministic Chaos; 2.6 Nonchaotic system with nonfractal attractor: time course; 2.7 Chaotic system with nonfractal attractor: time course; 2.8 Chaotic system with fractal attractor; 2.9 Chaotic system with fractal attractor: time course; 2.10 Nonchaotic system with fractal attractor; 2.7 Origins of Fractal Behavior 2.11 Nonchaotic system with fractal attractor: time course2.8 Ubiquity of Fractal Behavior; Problems; 3 Point Processes: Definition and Measures; 3.1 Point Processes; 3.2 Representations; 3.1 Point-process representations; 3.3 Interval-Based Measures; 3.2 Rescaled-range analysis: pseudocode; 3.3 Rescaled-range analysis: illustration; 3.4 Detrended fluctuation analysis: pseudocode; 3.4 Count-Based Measures; 3.5 Detrended fluctuation analysis: illustration; 3.6 Construction of normalized variances; 3.5 Other Measures; Problems; 4 Point Processes: Examples; 4.1 Homogeneous Poisson Point Process 4.2 Renewal Point Processes4.3 Doubly Stochastic Poisson Point Processes; 4.1 Stochastic-rate point processes; 4.4 Integrate-and-Reset Point Processes; 4.5 Cascaded Point Processes; 4.2 Cascaded point process; 4.6 Branching Point Processes; 4.7 Lévy-Dust Counterexample; Problems; 5 Fractal and Fractal-Rate Point Processes; 5.1 Measures of Fractal Behavior in Point Processes; 5.2 Ranges of Power-Law Exponents; 5.3 Relationships among Measures; 5.4 Examples of Fractal Behavior in Point Processes; 5.1 Representative rate spectra; 5.2 Representative normalized Haar-wavelet variances 5.5 Fractal-Based Point Processes5.3 Normalized Daubechies-wavelet variances; 5.4 Fractal and nonfractal point processes; 5.5 Fractal-rate and nonfractal point processes; Problems; 5.6 Estimated normalized-variance curves; 5.7 Representative interval spectra; 5.8 Representative interval wavelet variances; 5.9 Representative interevent-interval histograms; 5.10 Representative capacity dimensions; 5.11 Generalized dimensions for an exocytic point process; 6 Processes Based on Fractional Brownian Motion; 6.1 Fractional Brownian Motion; 6.1 Realizations of fractional Brownian motion 6.2 Fractional Gaussian Noise |
Record Nr. | UNINA-9910841567303321 |
Lowen Steven Bradley <1962-> | ||
Hoboken, N.J., : Wiley-Interscience, 2005 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Gaussian processes for machine learning [[electronic resource] /] / Carl Edward Rasmussen, Christopher K.I. Williams |
Autore | Rasmussen Carl Edward |
Pubbl/distr/stampa | Cambridge, Mass., : MIT Press, c2006 |
Descrizione fisica | xviii, 248 p. : ill |
Disciplina | 519.2/3 |
Altri autori (Persone) | WilliamsChristopher K. I |
Collana | Adaptive computation and machine learning |
Soggetto topico |
Gaussian processes - Data processing
Machine learning - Mathematical models |
Soggetto genere / forma | Electronic books. |
ISBN |
0-262-26107-3
9786612097966 1-4237-6990-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910451997003321 |
Rasmussen Carl Edward | ||
Cambridge, Mass., : MIT Press, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Gaussian processes for machine learning / / Carl Edward Rasmussen, Christopher K.I. Williams |
Autore | Rasmussen Carl Edward |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cambridge, Mass., : MIT Press, cop. 2006 |
Descrizione fisica | xviii, 248 p. : ill |
Disciplina | 519.2/3 |
Altri autori (Persone) | WilliamsChristopher K. I |
Collana | Adaptive computation and machine learning |
Soggetto topico |
Aprenentatge automàtic - Models matemàtics
Processos gaussians - Informàtica Gaussian processes - Data processing Machine learning - Mathematical models |
ISBN |
0-262-26107-3
9786612097966 1-4237-6990-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intro -- Series Foreword -- Preface -- Symbols and Notation -- Chapter 1 Introduction -- Chapter 2 Regression -- Chapter 3 Classification -- Chapter 4 Covariance functions -- Chapter 5 Model Selection and Adaptation of Hyperparameters -- Chapter 6 Relationships between GPs and Other Models -- Chapter 7 Theoretical Perspectives -- Chapter 8 Approximation Methods for Large Datasets -- Chapter 9 Further Issues and Conclusions -- Appendix A Mathematical Background -- Appendix B Gaussian Markov Processes -- Appendix C Datasets and Code -- Bibliography -- Author Index -- Subject Index. |
Record Nr. | UNINA-9910666795503321 |
Rasmussen Carl Edward | ||
Cambridge, Mass., : MIT Press, cop. 2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Hitting probabilities for nonlinear systems of stochastic waves / / Robert C. Dalang, Marta Sanz-Solé |
Autore | Dalang Robert C. <1961-> |
Pubbl/distr/stampa | Providence, Rhode Island : , : American Mathematical Society, , 2015 |
Descrizione fisica | 1 online resource (81 pages) |
Disciplina | 519.2/3 |
Collana | Memoirs of the American Mathematical Society |
Soggetto topico |
Stochastic processes
Stochastic differential equations Hausdorff measures Probabilities |
Soggetto genere / forma | Electronic books. |
ISBN | 1-4704-2507-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910480028203321 |
Dalang Robert C. <1961-> | ||
Providence, Rhode Island : , : American Mathematical Society, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Hitting probabilities for nonlinear systems of stochastic waves / / Robert C. Dalang, Marta Sanz-Solé |
Autore | Dalang Robert C. <1961-> |
Pubbl/distr/stampa | Providence, Rhode Island : , : American Mathematical Society, , 2015 |
Descrizione fisica | 1 online resource (81 pages) |
Disciplina | 519.2/3 |
Collana | Memoirs of the American Mathematical Society |
Soggetto topico |
Stochastic processes
Stochastic differential equations Hausdorff measures Probabilities |
ISBN | 1-4704-2507-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910798789103321 |
Dalang Robert C. <1961-> | ||
Providence, Rhode Island : , : American Mathematical Society, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Hitting probabilities for nonlinear systems of stochastic waves / / Robert C. Dalang, Marta Sanz-Solé |
Autore | Dalang Robert C. <1961-> |
Pubbl/distr/stampa | Providence, Rhode Island : , : American Mathematical Society, , 2015 |
Descrizione fisica | 1 online resource (81 pages) |
Disciplina | 519.2/3 |
Collana | Memoirs of the American Mathematical Society |
Soggetto topico |
Stochastic processes
Stochastic differential equations Hausdorff measures Probabilities |
ISBN | 1-4704-2507-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910806256503321 |
Dalang Robert C. <1961-> | ||
Providence, Rhode Island : , : American Mathematical Society, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok |
Autore | Kosorok Michael R |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | New York, : Springer, c2008 |
Descrizione fisica | 1 online resource (495 p.) |
Disciplina | 519.2/3 |
Collana | Springer Series in Statistics |
Soggetto topico |
Stochastic processes
Sampling (Statistics) Probabilities Estimation theory Convergence |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-21679-8
9786611216795 0-387-74978-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Overview -- An Overview of Empirical Processes -- Overview of Semiparametric Inference -- Case Studies I -- Empirical Processes -- to Empirical Processes -- Preliminaries for Empirical Processes -- Stochastic Convergence -- Empirical Process Methods -- Entropy Calculations -- Bootstrapping Empirical Processes -- Additional Empirical Process Results -- The Functional Delta Method -- Z-Estimators -- M-Estimators -- Case Studies II -- Semiparametric Inference -- to Semiparametric Inference -- Preliminaries for Semiparametric Inference -- Semiparametric Models and Efficiency -- Efficient Inference for Finite-Dimensional Parameters -- Efficient Inference for Infinite-Dimensional Parameters -- Semiparametric M-Estimation -- Case Studies III. |
Record Nr. | UNINA-9910458505003321 |
Kosorok Michael R | ||
New York, : Springer, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok |
Autore | Kosorok Michael R |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | New York, : Springer, c2008 |
Descrizione fisica | 1 online resource (495 p.) |
Disciplina | 519.2/3 |
Collana | Springer Series in Statistics |
Soggetto topico |
Stochastic processes
Sampling (Statistics) Probabilities Estimation theory Convergence |
ISBN |
1-281-21679-8
9786611216795 0-387-74978-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Overview -- An Overview of Empirical Processes -- Overview of Semiparametric Inference -- Case Studies I -- Empirical Processes -- to Empirical Processes -- Preliminaries for Empirical Processes -- Stochastic Convergence -- Empirical Process Methods -- Entropy Calculations -- Bootstrapping Empirical Processes -- Additional Empirical Process Results -- The Functional Delta Method -- Z-Estimators -- M-Estimators -- Case Studies II -- Semiparametric Inference -- to Semiparametric Inference -- Preliminaries for Semiparametric Inference -- Semiparametric Models and Efficiency -- Efficient Inference for Finite-Dimensional Parameters -- Efficient Inference for Infinite-Dimensional Parameters -- Semiparametric M-Estimation -- Case Studies III. |
Record Nr. | UNINA-9910784856603321 |
Kosorok Michael R | ||
New York, : Springer, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok |
Autore | Kosorok Michael R |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | New York, : Springer, c2008 |
Descrizione fisica | 1 online resource (495 p.) |
Disciplina | 519.2/3 |
Collana | Springer Series in Statistics |
Soggetto topico |
Stochastic processes
Sampling (Statistics) Probabilities Estimation theory Convergence |
ISBN |
1-281-21679-8
9786611216795 0-387-74978-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Overview -- An Overview of Empirical Processes -- Overview of Semiparametric Inference -- Case Studies I -- Empirical Processes -- to Empirical Processes -- Preliminaries for Empirical Processes -- Stochastic Convergence -- Empirical Process Methods -- Entropy Calculations -- Bootstrapping Empirical Processes -- Additional Empirical Process Results -- The Functional Delta Method -- Z-Estimators -- M-Estimators -- Case Studies II -- Semiparametric Inference -- to Semiparametric Inference -- Preliminaries for Semiparametric Inference -- Semiparametric Models and Efficiency -- Efficient Inference for Finite-Dimensional Parameters -- Efficient Inference for Infinite-Dimensional Parameters -- Semiparametric M-Estimation -- Case Studies III. |
Record Nr. | UNINA-9910828285803321 |
Kosorok Michael R | ||
New York, : Springer, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|