Paper Search Console

Home Search Page About Contact

Journal Title

Title of Journal: Stat Comput

Search In Journal Title:

Abbravation: Statistics and Computing

Search In Journal Abbravation:

Publisher

Springer US

Search In Publisher:

DOI

10.1007/s10592-015-0808-z

Search In DOI:

ISSN

1573-1375

Search In ISSN:
Search In Title Of Papers:

Nonparametric maximum likelihood estimation of in

Authors: Andrew C Titman
Publish Date: 2016/09/29
Volume: 27, Issue: 6, Pages: 1585-1593
PDF Link

Abstract

The paper considers nonparametric maximum likelihood estimation of the failure time distribution for intervalcensored data subject to misclassification Such data can arise from two types of observation scheme either where observations continue until the first positive test result or where tests continue regardless of the test results In the former case the misclassification probabilities must be known whereas in the latter case joint estimation of the eventtime distribution and misclassification probabilities is possible The regions for which the maximum likelihood estimate can only have support are derived Algorithms for computing the maximum likelihood estimate are investigated and it is shown that algorithms appropriate for computing nonparametric mixing distributions perform better than an iterative convex minorant algorithm in terms of time to absolute convergence A profile likelihood approach is proposed for joint estimation The methods are illustrated on a data set relating to the onset of cardiac allograft vasculopathy in posthearttransplantation patients

Keywords:

References

.
Search In Abstract Of Papers:
Other Papers In This Journal:
  1. Copula regression spline models for binary outcomes
  2. A focused information criterion for graphical models
  3. An advancement in clustering via nonparametric density estimation
  4. Clustering via nonparametric density estimation
  5. Sequential importance sampling of binary sequences
  6. Deletion diagnostics for marginal mean and correlation model parameters in estimating equations
  7. Boosted coefficient models
  8. Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a non asymptotic analysis
  9. Gaussian proposal density using moment matching in SMC methods
  10. Bayesian inference for Heston-STAR models
  11. Parsimonious Gaussian mixture models
  12. Efficient estimation of variance components in nonparametric mixed-effects models with large samples
  13. On the computation of the noncentral F and noncentral beta distribution
  14. A new variable importance measure for random forests with missing data
  15. Complement to a comparative analysis of heuristics for the  p -median problem
  16. Likelihood-free parallel tempering
Search Result: