energylossbeta

This function calculates the energy loss for given tensors. The loss is calculated
as the mean of the L2 norms between `x0` and `x` and between `x0` and `xp`, each raised to the power of `beta`,
subtracted by half the mean of the L2 norm between `x` and `xp`, also raised to the power of `beta`.

internal

Distributional instrumental variable (DIV) model
for estimation of the interventional distribution of the outcome Y under a
do-intervention on the treatment X. Instruments, predictors and targets can
be univariate or multivariate. Functionality includes estimation of the (conditional)
interventional mean and quantiles, as well as sampling from the fitted (conditional)
interventional distribution.

Anastasiia Holovchak

DistributionIV

Distributional Instrumental Variable (DIV) Model

Sorawit Saengkyongam

Nicolai Meinshausen

Xinwei Shen

energylossbeta function

<dl><dt>x0</dt>
<dd>A tensor representing the target values.</dd>
<dt>x</dt>
<dd>A tensor representing the model's stochastic predictions.</dd>
<dt>xp</dt>
<dd>A tensor representing another draw of the model's stochastic predictions.</dd>
<dt>beta</dt>
<dd>A numeric value for scaling the energy loss.</dd>
<dt>verbose</dt>
<dd>A boolean indicating whether to return prediction loss s1 = E(||x0-x||) and variance loss s2 = E(||x-xp||).</dd></dl>

Arguments

Energy Loss Calculation with Beta Scaling — energylossbeta

<dl>

<dt>x0</dt>
<dd>A tensor representing the target values.</dd>


<dt>x</dt>
<dd>A tensor representing the model's stochastic predictions.</dd>


<dt>xp</dt>
<dd>A tensor representing another draw of the model's stochastic predictions.</dd>


<dt>beta</dt>
<dd>A numeric value for scaling the energy loss.</dd>


<dt>verbose</dt>
<dd>A boolean indicating whether to return prediction loss s1 = E(||x0-x||) and variance loss s2 = E(||x-xp||).</dd>

</dl>

energylossbeta: Energy Loss Calculation with Beta Scaling

Description

Usage

Value

Arguments