Partially Linear Expectile Regression Using Local Polynomial Fitting

Autor: Irène Gijbels, Cécile Adam
Rok vydání: 2021
Předmět:
Zdroj: Advances in Contemporary Statistics and Econometrics ISBN: 9783030732486
DOI: 10.1007/978-3-030-73249-3_8
Popis: This chapter deals with partially linear expectile regression using local polynomial fitting as a basic smoothing technique in the various steps. The advantage of the estimation method is that an explicit expression for an optimal choice of the bandwidth (matrix) can be established, and based on this, a rule-of-thumb bandwidth selector is presented. A small simulation study demonstrates that the estimation method with this data-driven choice of the bandwidth performs very well. An illustration with a real data example is provided.
Databáze: OpenAIRE