Learning outcomes

See content.

Contents

Nonparametric inference provides an option for parametric inference. Often the assumption made for nonparametric inference are much less demanding than those for parametric inference. In the course such techniques as regression splines, local polynomials, smoothing splines, etc. will be considered.

Teaching language

Finnish

Evaluation

Numeric 1-5.

Recommended year of study

1. year autumn
1. year spring
2. year autumn
2. year spring

Study materials

1. Eubank, R. L., Nonparametric regression and spline smoothing, 2nd ed. Marcel Dekker 1999.
2. Ruppert, D., Wand, M. P., Carrol, R. J., Semiparametric regression. Cambridge University Press 2003.
3. Wu, H., Zhang, J., Nonparametric regression methods for longitudinal data analysis. Wiley 2006.

Belongs to following study modules