noisy_xor

internal

Creates and fits staged event tree probability models,
which are probabilistic graphical models capable of representing
asymmetric conditional independence statements
for categorical variables.
Includes functions to create, plot and fit staged
event trees from data, as well as many efficient structure
learning algorithms.
References:
Carli F, Leonelli M, Riccomagno E, Varando G (2022).
<doi: 10.18637/jss.v102.i06>.
Collazo R. A., Görgen C. and Smith J. Q.
(2018, ISBN:9781498729604).
Görgen C., Bigatti A., Riccomagno E. and Smith J. Q. (2018)
<arXiv:1705.09457>.
Thwaites P. A., Smith, J. Q. (2017) <arXiv:1510.00186>.
Barclay L. M., Hutton J. L. and Smith J. Q. (2013)
<doi:10.1016/j.ijar.2013.05.006>.
Smith J. Q. and Anderson P. E. (2008)
<doi:10.1016/j.artint.2007.05.004>.

Gherardo Varando

stagedtrees

Staged Event Trees

Federico Carli

Manuele Leonelli

Eva Riccomagno

noisy_xor function

<dl><dt>x</dt>
<dd>a vector of +1 and -1.</dd>
<dt>eps</dt>
<dd>the uniform noise amount.</dd></dl>

Arguments

noisy xor function — noisy_xor

<dl>

<dt>x</dt>
<dd>a vector of +1 and -1.</dd>


<dt>eps</dt>
<dd>the uniform noise amount.</dd>

</dl>

noisy xor function

noisy_xor: noisy xor function

Description

Usage

Value

Arguments