Navigating Scaling: Modelling and Analysing
I. INTUITIONS, MODELS, TOOLS: (1) Intuitions, Definition, Applications; (2) Stochastic Models: Self-Similarity vs Multifractal; (3) Multiresolution Tools, Aggregation, Increments; (4) Wavelets, Continuous, Discrete. II. SECOND ORDER ANALYSIS, SELF SIMILARITY AND LONG MEMORY: (1) Random Walks, Self-S...
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Zusammenfassung: | I. INTUITIONS, MODELS, TOOLS: (1) Intuitions, Definition, Applications; (2) Stochastic Models: Self-Similarity vs Multifractal; (3) Multiresolution Tools, Aggregation, Increments; (4) Wavelets, Continuous, Discrete. II. SECOND ORDER ANALYSIS, SELF SIMILARITY AND LONG MEMORY: (1) Random Walks, Self-Similarity, Long Memory; (2) 2nd Order Wavelet Statistical Analysis; (3) Estimation, Estimation Performance; (4) Robustness Against Non-Stationarities. III. HIGHER ORDER ANALYSIS, MULTIFRACTAL PROCESSES: (1) Multiplicative Cascades, Multifractal Processes; (2) Higher Order Wavelet Statistical Analysis; (3) Finiteness of Moments; (4) Estimation, Estimation Performance; (5) Negative Orders; (6) Beyond Power Laws.
Presented at the Wavelets and Multifractal Analysis (WAMA) Workshop held in Cargese, Corsica, France on 19-31 Jul 2004. See also ADM001750. Prepared in cooperation with INRIA Rhone-Alpes, Lisbon, Portugal. The original document contains color images. |
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