BIC.tsissm.estimate

BIC.tsissm.selection

Extract the BIC from an estimated model.

Unobserved components time series model using the linear innovations state space representation (single source of error) with choice of error distributions and option for dynamic variance. Methods for estimation using automatic differentiation, automatic model selection and ensembling, prediction, filtering, simulation and backtesting. Based on the model described in Hyndman et al (2012) <doi:10.1198/jasa.2011.tm09771>.

Alexios Ghalanos

tsissm

Linear Innovations State Space Unobserved Components Model

Alexios Galanos

BIC.tsissm.estimate function

<dl><dt>object</dt>
<dd>an object of class &#8220;tsissm.estimate&#8221;.</dd>
<dt>...</dt>
<dd>not currently used.</dd></dl>

Arguments

Bayesian Information Criterion — BIC.tsissm.estimate

<dl>

<dt>object</dt>
<dd>an object of class &#8220;tsissm.estimate&#8221;.</dd>


<dt>...</dt>
<dd>not currently used.</dd>

</dl>

BIC.tsissm.estimate: Bayesian Information Criterion

Description

Usage

Value

Arguments