Michael G. Akritas, On the Use of Nonparametric Regression Techniques for Fitting Parametric Regression Models, Biometrics, Vol. 52, No. 4 (Dec., 1996), pp. 1342-1362 ...

We propose two new consistent estimators for the parametric regression, which address the endogeneity in the regressor by means of spatial bounding and bias correction using non-parametric estimation.

Nonparametric regression for functional data provides a flexible statistical framework for modelling relationships between a scalar response and predictors that are inherently functional in nature.

In case we know the relationship between the response and part of explanatory variables and do not know the relationship between the response and the other part of explanatory variables we use ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

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