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Fractal-based point processes [[electronic resource] /] / Steven Bradley Lowen, Malvin Carl Teich
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
Opac: Controlla la disponibilità qui
Fractal-based point processes [[electronic resource] /] / Steven Bradley Lowen, Malvin Carl Teich
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
Opac: Controlla la disponibilità qui
Gaussian processes for machine learning [[electronic resource] /] / Carl Edward Rasmussen, Christopher K.I. Williams
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
Opac: Controlla la disponibilità qui
Gaussian processes for machine learning / / Carl Edward Rasmussen, Christopher K.I. Williams
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
Opac: Controlla la disponibilità qui
Hitting probabilities for nonlinear systems of stochastic waves / / Robert C. Dalang, Marta Sanz-Solé
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
Opac: Controlla la disponibilità qui
Hitting probabilities for nonlinear systems of stochastic waves / / Robert C. Dalang, Marta Sanz-Solé
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
Opac: Controlla la disponibilità qui
Hitting probabilities for nonlinear systems of stochastic waves / / Robert C. Dalang, Marta Sanz-Solé
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
Opac: Controlla la disponibilità qui
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok
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
Opac: Controlla la disponibilità qui
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok
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
Opac: Controlla la disponibilità qui
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok
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
Opac: Controlla la disponibilità qui