Teaching Semiparametric Modeling Based on R Programming: Expectile Regression in Monotonic Partially Linear Models

Jun Sun, Mingtao Zhao

Abstract


Instruction in the expectile regression estimation method for semiparametric partially linear models (PLMs) with monotonic constraints is a crucial component of graduate statistics courses. This paper demonstrates the R programming implementation of this estimation method using monotone B-spline approximation and provides a Monte Carlo simulation example for practical teaching purposes.


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DOI: https://doi.org/10.22158/jecs.v9n3p33

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