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Book Categories |
| Dedication | ||
| Acknowledgments | ||
| Preface | ||
| 1 | Introduction | |
| 2 | Linear Filters | |
| Filters in Time Domain | 16 | |
| Filters in the Frequency Domain | 25 | |
| Filters in Practice | 39 | |
| 3 | Optimum Linear Estimation | |
| The Wiener Filter and Estimation | 54 | |
| Recursive Filtering and the Kalman Filter | 63 | |
| Prediction with the Kalman Filter | 71 | |
| Vector Kalman Filter Estimation | 74 | |
| Applications | 80 | |
| 4 | Discrete Wavelet Transforms | |
| Properties of the Wavelet Transform | 101 | |
| Discrete Wavelet Filters | 106 | |
| The Discrete Wavelet Transform | 117 | |
| The Maximal Overlap Discrete Wavelet Transform | 134 | |
| Practical Issues in Implementation | 143 | |
| Applications | 146 | |
| 5 | Wavelets and Stationary Processes | |
| Wavelets and Long-Memory Processes | 162 | |
| Generalizations of the DWT and MODWT | 176 | |
| Wavelets and Seasonal Long Memory | 183 | |
| Applications | 194 | |
| 6 | Wavelet Denoising | |
| Nonlinear Denoising via Thresholding | 207 | |
| Threshold Selection | 212 | |
| Implementing Wavelet Denoising | 224 | |
| Applications | 227 | |
| 7 | Wavelets for Variance-Covariance Estimation | |
| The Wavelet Variance | 238 | |
| Testing Homogeneity of Variance | 246 | |
| The Wavelet Covariance and Cross-Covariance | 251 | |
| The Wavelet Correlation and Cross-Correlation | 256 | |
| Applications | 262 | |
| Univariate and Bivariate Spectrum Analysis | 266 | |
| 8 | Artificial Neural Networks | |
| Activation Functions | 276 | |
| Feedforward Networks | 279 | |
| Recurrent Networks | 290 | |
| Network Selection | 294 | |
| Adaptivity | 301 | |
| Estimation of Recurrent Networks | 301 | |
| Applications of Neural Network Models | 303 | |
| Notations | 315 | |
| Bibliography | 323 | |
| Index | 349 |
| Price | Condition | Delivery | Seller | Action |
| $104.29 | Digital |
| WonderClub |
John Doe
reviewed An Introduction to Wavelets and Other Filtering Methods in Finance and Economics on October 31, 2019
An Introduction to Wavelets and Other Filtering Methods in Finance and Economics
Good book. the concepts being presented in language that is easy to understand
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