Preface | |
Part I | Regression Models |
1 | Quantile Regression |
2 | Least Trimmed Squares |
3 | Errors-in-Variables Models |
4 | Simultaneuos-Equations Models |
5 | Hazard Regression |
6 | Generalized Partial Linear Models |
7 | Generalized Additive Models |
Part II | Data Exploration |
8 | Growth Regression and Counterfactual Income Dynamics |
9 | Cluster Analysis |
10 | Classification and Regression Trees |
11 | DPLS: Partial Least Squares Program |
12 | Uncovered Interest Parity |
13 | Correspondence Analysis |
Part III | Dynamic Statistical Systems |
14 | Long-Memory Analysis |
15 | ExploRing Persistence in Financial Time Series |
16 | Flexible Time Series Analysis |
17 | Multiple Time Series Analysis |
18 | Robust Kalman Filtering |
Index | |