rpoly01

Generate n samples from the distribution

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

rpoly01 function

<dl><dt>n</dt>
<dd>The number of samples to generate.</dd>
<dt>k</dt>
<dd>The exponent in the distribution function, defaults to 5.</dd></dl>

Arguments

Generate n samples from the distribution — rpoly01

<dl>

<dt>n</dt>
<dd>The number of samples to generate.</dd>


<dt>k</dt>
<dd>The exponent in the distribution function, defaults to 5.</dd>

</dl>

rpoly01: Generate n samples from the distribution

Description

Usage

Value

Arguments