A semiparametric model for observational data combines a parametric form for some
component of the data generating process (usually the behavioral relation between the …

Master linear regression techniques with a new edition of a classic text Reviews of the
Second Edition:" I found it enjoyable reading and so full of interesting material that even the …

Modern advances in computing power have greatly widened scientists' scope in gathering
and investigating information from many variables, information which might have been …

Multiple Linear Regression | SpringerLink Skip to main content Advertisement SpringerLink
Account Menu Find a journal Publish with us Track your research Search Cart Book cover Linear …

For the class of single-index models, I construct a semiparametric estimator of coefficients up
to a multiplicative constant that exhibits 1√ n-consistency and asymptotic normality. This …

During the last decades, there has been an explosion in computation and information
technology. This development comes with an expansion of complex observational studies …

Searching for an effective dimension reduction space is an important problem in regression,
especially for high dimensional data. We propose an adaptive approach based on …

Single-index models generalize linear regression. They have applications to a variety of
fields, such as discrete choice analysis in econometrics and dose response models in …

Modern graphical tools have enhanced our ability to learn many things from data directly.
With much user-friendly graphical software available, we are encouraged to plot a lot more …

We study the behavior of regression analysis when there might be some violation of the
assumed link function, the functional form of the model which relates the outcome variable y …