carparts_example

A monthly time series from the <code>carparts</code> dataset, 51 observations, Jan 1998 - Mar 2002.

datasets

Provides methods for probabilistic reconciliation of hierarchical forecasts of time series.
The available methods include analytical Gaussian reconciliation (Corani et al., 2021)
<doi:10.1007/978-3-030-67664-3_13>,
MCMC reconciliation of count time series (Corani et al., 2024)
<doi:10.1016/j.ijforecast.2023.04.003>,
Bottom-Up Importance Sampling (Zambon et al., 2024)
<doi:10.1007/s11222-023-10343-y>,
methods for the reconciliation of mixed hierarchies (Mix-Cond and TD-cond)
(Zambon et al., 2024. The 40th Conference on Uncertainty in Artificial Intelligence, accepted).

Dario Azzimonti

bayesRecon

Probabilistic Reconciliation via Conditioning

Nicolò Rubattu

Lorenzo Zambon

Giorgio Corani

carparts_example function

Univariate time series of class <a href="/link/ts?package=bayesRecon&version=0.3.1" data-mini-rdoc="bayesRecon::ts">ts</a>.

Format

Example of a time series from carparts — carparts_example

Univariate time series of class <a href='https://rdrr.io/r/stats/ts.html'>ts</a>.

carparts_example: Example of a time series from carparts

Description

Usage

Arguments

Format

References