IndependentSamplesBootstrap.apply(func, reps=1000, extra_kwargs=None)

Applies a function to bootstrap replicated data

  • func (callable) – Function the computes parameter values. See Notes for requirements

  • reps (int, default 1000) – Number of bootstrap replications

  • extra_kwargs (dict, default None) – Extra keyword arguments to use when calling func. Must not conflict with keyword arguments used to initialize bootstrap


reps by nparam array of computed function values where each row corresponds to a bootstrap iteration

Return type



When there are no extra keyword arguments, the function is called

func(params, *args, **kwargs)

where args and kwargs are the bootstrap version of the data provided when setting up the bootstrap. When extra keyword arguments are used, these are appended to kwargs before calling func


>>> import numpy as np
>>> x = np.random.randn(1000,2)
>>> from arch.bootstrap import IIDBootstrap
>>> bs = IIDBootstrap(x)
>>> def func(y):
...     return y.mean(0)
>>> results = bs.apply(func, 100)