svine_bootstrap_models {svines} | R Documentation |
Bootstrap S-vine models
Description
Computes bootstrap replicates of a given model using the one-step block multiplier bootstrap of Nagler et. al (2022).
Usage
svine_bootstrap_models(n_models, model)
Arguments
n_models |
number of bootstrap replicates. |
model |
the initial fitted model |
Value
A list of length n_models
, with each entry representing one
bootstrapped model as object of class svine.
Examples
data(returns)
dat <- returns[1:100, 1:2]
# fit parametric S-vine model with Markov order 1
model <- svine(dat, p = 1, family_set = "parametric")
# compute 10 bootstrap replicates of the model
boot_models <- svine_bootstrap_models(10, model)
# compute bootstrap replicates of 90%-quantile of X_1 + X_2.
mu_boot <- sapply(
boot_models,
function(m) {
xx <- rowSums(t(svine_sim(1, 10^2, m, past = dat)[1, ,]))
quantile(xx, 0.9)
}
)
[Package svines version 0.2.3 Index]