Research Publications and Projects:
Semiparametric Models and Empirical Processes
Available information
Recent and Current projects
-
Working Group on Empirical Processes:
Winter 2006
- Semiparametric Models and Inverse Problems:
- Pseudo maximum likelihood estimation (Nilanjan Chatterjee
and Huilin Hu)
- Efficiency bounds for semiparametric models for
non-i.i.d. data (with Brad McNeney)
- Estimation for semiparametric counting process models based
on panel count data (with Ying Zhang)
- Lifetime and disease onset distributions from incomplete
data (with Eduardo Gomes)
- Semiparametric estimation for Non-monotone missing data problems
(with Nilanjan Chatterjee)
- Semiparametric missing data models
(with Norm Breslow, Mary Emond, Brad McNeney, and Bin Nan)
- Semiparametric models with sum tangent spaces
- Testing theory for semiparametric models (with Moulinath Banerjee)
- Likelihood ratio tests and confidence intervals for monotone functions (with Moulinath Banerjee)
- Estimation of monotone and convex functions (with Geurt Jongbloed
and Piet Groeneboom).
- Estimation of k-monotone functions (with Fadoua Balabdaoui)
- A new goodness of fit statistic: the reversed Berk-Jones statistic
(with Leah Jager)
- Estimation for bivariate interval censoring (with Shuguang Song
and Marloes Maathuis)
- Empirical Process theory:
- Bootstrapping M - estimators (Yihui Zhan)
- Convergence rates in nonparametric estimation
- Glivenko - Cantelli preservation theorems (with Aad van der Vaart)
- Applications of empirical processes to longitudinal data
(with Ying Zhang)
- Empirical processes and interacting particle systems
(with Evarist Giné)
Research Contacts
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