Nonparametric Statistics for Stochastic Processes [electronic resource] : Estimation and Prediction / by D. Bosq
- Author:
- Bosq, Denis, 1939-
- Published:
- New York, NY : Springer US, 1996.
- Physical Description:
- 1 illustration in color : online resource
- Additional Creators:
- SpringerLink (Online service)
Access Online
- Series:
- Contents:
- Synopsis -- 1. The object of the study -- 2. The kernel density estimator -- 3. The kernel regression estimator and the induced predictor -- 4. Mixing processes -- 5. Density estimation -- 6. Regression estimation and Prediction -- 7. Implementation of nonparametric method -- 1. Inequalities for mixing processes -- 1. Mixing -- 2. Coupling -- 3. Inequalities for covariances and joint densities -- 4. Exponential type inequalities -- 5. Some limit theorems for strongly mixing processes -- Notes -- 2. Density estimation for discrete time processes -- 1. Density estimation -- 2. Optimal asymptotic quadratic error -- 3. Uniform almost sure convergence -- 4. Asymptotic normality -- 5. Non regular cases -- Notes -- 3. Regression estimation and prediction for discrete time processes -- 1. Regression estimation -- 2. Asymptotic behaviour of the regression estimator -- 3. Prediction for a stationary Markov process of order k -- 4. Prediction for general processes -- 5. Implementation of nonparametric method -- Notes -- 4. Density estimation for continuous time processes -- 1. The kernel density estimator in continuous time -- 2. Optimal and superoptimal asymptotic quadratic error -- 3. Optimal and superoptimal uniform convergence rates -- 4. Sampling -- Notes -- 5. Regression estimation and prediction in continuous time -- 1. The kernel regression estimator in continuous time -- 2. Optimal asymptotic quadratic error -- 3. Superoptimal asymptotic quadratic error -- 4. Limit in distribution -- 5. Uniform convergence rates -- 6. Sampling -- 7. Nonparametric prediction in continuous time -- Notes -- Appendix—Numerical results.
- Subject(s):
- ISBN:
- 9781468404890
- Digital File Characteristics:
- text file PDF
- Note:
- AVAILABLE ONLINE TO AUTHORIZED PSU USERS.
- Part Of:
- Springer eBooks
View MARC record | catkey: 15203068