Paper Search Console

Home Search Page About Contact

Journal Title

Title of Journal: Computational Statistics

Search In Journal Title:

Abbravation: Computational Statistics

Search In Journal Abbravation:

Publisher

Springer-Verlag

Search In Publisher:

DOI

10.1007/s00521-015-2100-z

Search In DOI:

ISSN

1613-9658

Search In ISSN:
Search In Title Of Papers:

Parameter cascades and profiling in functional dat

Authors: Jiguo Cao James O Ramsay
Publish Date: 2007/03/28
Volume: 22, Issue: 3, Pages: 335-351
PDF Link

Abstract

A data smoothing method is described where the roughness penalty depends on a parameter that must be estimated from the data Three levels of parameters are involved in this situation Local parameters are the coefficients of the basis function expansion defining the smooth global parameters define lowdimensional trend and the roughness penalty and a complexity parameter controls the amount of roughness in the smooth By defining local parameters as regularized functions of global parameters and global parameters in turn as functions of complexity parameter we define a parameter cascade and show that the accompanying multicriterion optimization problem leads to good estimates of all levels of parameters and their precisions The approach is illustrated with real and simulated data and this application is a prototype for a wide range of problems involving nuisance or local parameters

Keywords:

References

.
Search In Abstract Of Papers:
Other Papers In This Journal:
  1. Bayesian lasso binary quantile regression
  2. Determining p -values for systems cointegration tests with a prior adjustment for deterministic terms
  3. GEVA: geometric variability-based approaches for identifying patterns in data
  4. A note on the prior parameter choice in finite mixture models of distributions from exponential families
  5. Learning vector quantization classifiers for ROC-optimization
  6. Confidence intervals for the regression parameter based on weighted log-rank estimating functions
  7. Biomarker discovery: classification using pooled samples
  8. Bayesian model selection approach to the one way analysis of variance under homoscedasticity
  9. Improving efficiency of data augmentation algorithms using Peskun’s theorem
  10. Multivariate elliptically contoured stable distributions: theory and estimation
  11. Implied Trinomial Trees and Their Implementation with XploRe
  12. On testing the log-gamma distribution hypothesis by bootstrap
  13. Bayesian model-based tight clustering for time course data
  14. Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data
  15. A generalized log-normal distribution and its goodness of fit to censored data
  16. A primer on disease mapping and ecological regression using $${\texttt{INLA}}$$
  17. The Monte Carlo EM method for estimating multinomial probit latent variable models
  18. Integrated likelihood computation methods
Search Result: