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Series preface | ||
Authors' preface | ||
1 | Introduction | 1 |
2 | The Classical Maximum Entropy Formalism: A Review | 6 |
3 | Basic Maximum Entropy Principle: Formulation and Extensions | 19 |
4 | Formulation and Solution of Pure Inverse Problems | 44 |
5 | Generalized Pure Inverse Problems | 67 |
6 | Generalized Maximum Entropy (GME) and Cross-Entropy (GCE) Formulations | 85 |
7 | Finite Sample Extensions of GME-GCE | 107 |
8 | GME-GCE Solutions to Ill-conditioned Problems | 127 |
9 | General Linear Statistical Model with a Non-scalar Identity Covariance Matrix | 146 |
10 | Statistical Model Selection | 162 |
11 | Sets of Linear Statistical Models | 181 |
12 | Simultaneous Equations Statistical Model | 192 |
13 | Estimation and Inference of Dynamic Linear Inverse Problems | 203 |
14 | Linear and Non-linear Dynamic Systems with Control | 219 |
15 | Recovering Information from Multinomial Response Data | 245 |
16 | Recovering Information from Censored Response Data | 267 |
17 | Computing GME-GCE Solutions | 283 |
Selected Reading | 299 | |
Index | 303 |
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