内容

目次

Preface; Reading guide; 1. Introduction; 2. Notations and definitions;3. Uniform laws of large numbers; 4. First applications: consistency; 5.Increments of empirical processes; 6. Central limit theorems; 7. Rates ofconvergence for maximum likelihood estimators; 8. The non-i.i.d. case; 9.Rates of convergence for least squares estimators; 10. Penalties and sieves;11. Some applications to semi-parametric models; 12. M-estimators; Appendix;References; Author index; Subject index; List of symbols.