thresholdGG

This function uses the M_array which provides the threshold which ensures
a moment match of 5

internal

Bayesian nonparametric density estimation modeling mixtures by a Ferguson-Klass type algorithm for posterior normalized random measures.

Guillaume Kon Kam King

BNPdensity

Ferguson-Klass Type Algorithm for Posterior Normalized Random
Measures

Julyan Arbel

Ernesto Barrios

Antonio Lijoi

Luis E. Nieto-Barajas

Igor Prünster

thresholdGG function

<dl><dt>alpha</dt>
<dd>Numeric constant. Total mass of the centering measure</dd>
<dt>kappa</dt>
<dd>Numeric positive constant.</dd>
<dt>gama</dt>
<dd>Numeric constant. \(0 \leq Gama \leq 1\).</dd>
<dt>max_threshold</dt>
<dd>Numeric positive integer. Maximum allowed value for the threshold</dd></dl>

Arguments

Choosing the truncation level for the NGG process — thresholdGG

<dl>

<dt>alpha</dt>
<dd>Numeric constant. Total mass of the centering measure</dd>


<dt>kappa</dt>
<dd>Numeric positive constant.</dd>


<dt>gama</dt>
<dd>Numeric constant. \(0 \leq Gama \leq 1\).</dd>


<dt>max_threshold</dt>
<dd>Numeric positive integer. Maximum allowed value for the threshold</dd>

</dl>

thresholdGG: Choosing the truncation level for the NGG process

Description

Usage

Value

Arguments

Details