Nonparametric Regression for Functional Data Publication Trend The graph below shows the total number of publications each year in Nonparametric Regression for Functional Data.

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 ...

Any application area that uses regression analysis can potentially benefit from semi/nonparametric regression. R software will be used in this course. This course covers: Differences between ...

Recent advances in nonparametric regression for functional data have focused on enhancing estimator performance whilst addressing practical issues such as bandwidth selection and model adaptivity.

Spatially adaptive regression and model selection in multivariate nonparametric regression will be used to illustrate the flexibility and efficiency of the BSML procedures. Extensive simulations show ...

Bayesian Field Theory Nonparametric Approaches to Density Estimation, Regression, Classification, and Inverse Quantum ProblemsAbstract: Bayesian field theory denotes a nonparametric Bayesian approach ...

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, ...