Inference for Functional Data with Applications

1. Functional data structures
Lajos Horváth, Piotr Kokoszka

2. Hilbert space model for functional data
Lajos Horváth, Piotr Kokoszka

3. Functional principal components
Lajos Horváth, Piotr Kokoszka

4. Canonical correlation analysis
Lajos Horváth, Piotr Kokoszka

5. Two sample inference for the mean and covariance functions
Lajos Horváth, Piotr Kokoszka

6. Detection of changes in the mean function
Lajos Horváth, Piotr Kokoszka

7. Portmanteau test of independence
Lajos Horváth, Piotr Kokoszka

8. Functional linear models
Lajos Horváth, Piotr Kokoszka

9. Test for lack of effect in the functional linear model
Lajos Horváth, Piotr Kokoszka

10. Two sample inference for regression kernels
Lajos Horváth, Piotr Kokoszka

11. Tests for error correlation in the functional linear model
Lajos Horváth, Piotr Kokoszka

12. A test of significance in functional quadratic regression
Lajos Horváth, Piotr Kokoszka

13. Functional autoregressive model
Lajos Horváth, Piotr Kokoszka

14. Change point detection in the functional autoregressive process
Lajos Horváth, Piotr Kokoszka

15. Determining the order of the functional autoregressive model
Lajos Horváth, Piotr Kokoszka

16. Functional time series
Lajos Horváth, Piotr Kokoszka

17. Spatially distributed functional data
Lajos Horváth, Piotr Kokoszka

18. Consistency of the simple mean and the empirical functional principal components for spatially distributed curves
Lajos Horváth, Piotr Kokoszka

Avainsanat: Statistics, Statistical Theory and Methods, Statistics, general, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Business/Economics/Mathematical Finance/Insurance