148 citations · 758 across the 35 of their papers we have counts for
5 papers · 1 filter
Flexible generalized varying coefficient regression models
Young K. Lee, Enno Mammen, Byeong U. Park
This paper studies a very flexible model that can be used widely to analyze the relation between a response and multiple covariates. The model is nonparametric, yet renders easy in…
A comparative study of new cross-validated bandwidth selectors for kernel density estimation
Enno Mammen, Maria Dolores Martinez Miranda, Jens Perch Nielsen +1
Recent contributions to kernel smoothing show that the performance of cross-validated bandwidth selectors improve significantly from indirectness. Indirect crossvalidation first es…
Nonparametric regression with nonparametrically generated covariates
Enno Mammen, Christoph Rothe, Melanie Schienle
We analyze the statistical properties of nonparametric regression estimators using covariates which are not directly observable, but have be estimated from data in a preliminary st…
Projection-type estimation for varying coefficient regression models
Young K. Lee, Enno Mammen, Byeong U. Park
In this paper we introduce new estimators of the coefficient functions in the varying coefficient regression model. The proposed estimators are obtained by projecting the vector of…
Statistical convergence of Markov experiments to diffusion limits
Valentin Konakov, Enno Mammen, Jeannette Woerner
Assume that one observes the th, thth value of a Markov chain . That means we assume that a high frequency Markov chain runs in the back…