plot_ft

A novel bias-bound approach for non-parametric inference is introduced,
focusing on both density and conditional expectation estimation.
It constructs valid confidence intervals that account for the presence of
a non-negligible bias and thus make it possible to perform inference with
optimal mean squared error minimizing bandwidths.
This package is based on Schennach (2020) <doi:10.1093/restud/rdz065>.

Xinyu DAI

rbbnp

A Bias Bound Approach to Non-Parametric Inference

Susanne M Schennach

plot_ft function

<dl><dt>X</dt>
<dd>A numerical vector of sample data.</dd>
<dt>xi_interval</dt>
<dd>A list containing the lower (<code>xi_lb</code>) and upper (<code>xi_ub</code>) bounds of the xi interval.</dd>
<dt>ft_plot.resol</dt>
<dd>An integer representing the resolution of the plot, specifically the number of points
used to represent the Fourier transform. Defaults to 500.</dd></dl>

Arguments

Plot the Fourier Transform — plot_ft

<dl>

<dt>X</dt>
<dd>A numerical vector of sample data.</dd>


<dt>xi_interval</dt>
<dd>A list containing the lower (<code>xi_lb</code>) and upper (<code>xi_ub</code>) bounds of the xi interval.</dd>


<dt>ft_plot.resol</dt>
<dd>An integer representing the resolution of the plot, specifically the number of points
used to represent the Fourier transform. Defaults to 500.</dd>

</dl>

plot_ft: Plot the Fourier Transform

Description

Usage

Value

Arguments

Details

Examples