infantMortality

A yearly grouped time series dataset, from 1901 to 2003, of infant mortality counts (deaths) in Australia;
disaggregated by state (see below), and sex (male and female).

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

infantMortality function

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

Format

Infant Mortality grouped time series dataset — infantMortality

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

infantMortality: Infant Mortality grouped time series dataset

Description

Usage

Arguments

Format

Details

References