boot_cs | R Documentation |
Joint block bootstrap for generating probabilistic base forecasts that take into account the correlation between different time series (Panagiotelis et al. 2023).
boot_cs(fit, boot_size, h, seed = NULL)
fit |
A list of \mjseqnn base forecast models. It is important to note that the models
must have the |
boot_size |
The number of bootstrap replicates. |
h |
Block size of the bootstrap, which is typically equivalent to the forecast horizon. |
seed |
An integer seed. |
A list with two elements: the seed used to sample the errors and a 3-d array (\mjseqnboot\_size\times n \times h)
Panagiotelis, A., Gamakumara, P., Athanasopoulos, G. & Hyndman, R. J. (2023), Probabilistic forecast reconciliation: Properties, evaluation and score optimisation, European Journal of Operational Research 306(2), 693–706.
Other bootstrap:
boot_ct()
,
boot_te()
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