swiss_tourism: Swiss tourism: monthly Swiss overnight stay data

In bayesRecon: Probabilistic Reconciliation via Conditioning

Swiss tourism: monthly Swiss overnight stay data

Description

A dataset of 27 time series with monthly observations of the number of overnight stays in Switzerland, from Jan 2005 to Jan 2025.

Usage

swiss_tourism

Format

A list that contains:

• ts: a multivariate time series of class ts;

• n_bottom: integer with the number of bottom time series (26);

• n_upper: integer with the number of upper time series (1);

• agg_mat: the aggregation matrix for the hierarchy. (1x26)

Details

This is a hierarchy of time series that contains:

• 26 bottom-level series corresponding to the 26 Swiss cantons

• 1 top-level series corresponding to the Swiss total. Each time series has 241 observations.

Source

Federal Statistical Office of Switzerland (2025). Hotel sector: arrivals and overnight stays of open establishments by year, month, canton and visitors' country of residence. https://www.bfs.admin.ch/asset/en/px-x-1003020000_102

References

Carrara, C., Azzimonti, D., Corani, G., Zambon, L. (2025). Modeling the uncertainty on the covariance matrix for probabilistic forecast reconciliation. arXiv:2506.19554 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2506.19554")}.

bayesRecon documentation built on March 8, 2026, 9:08 a.m.