Phase 2

BlockBootstrap{T} <: AbstractSampling

Represents a (circular) block bootstrap sampling method.

Fields

• block::T: The current block of data being sampled from.
• blocksize::Int: The size of each block.
• t::Int: The current index within the block.

Constructors

• BlockBootstrap(blocksize::Int, data::Vector{T}) where T: Constructs a BlockBootstrap object for a vector of data.
• BlockBootstrap(blocksize::Int, data::Matrix{T}) where T: Constructs a BlockBootstrap object for a matrix of data.

Bootstrap <: AbstractSampling

Represents a bootstrap sampling method.

StationaryBootstrap{T} <: AbstractSampling

Represents a stationary block bootstrap sampling method, where the block length is sampled from a Geometric random variable.

Fields

• block::T: The current block of data being sampled from.
• blocksize::Int: The average size of each block.
• t::Int: The current index within the block.

Constructors

• StationaryBootstrap(blocksize::Int, data::Vector{T}) where T: Constructs a StationaryBootstrap object for a vector of data.
• StationaryBootstrap(blocksize::Int, data::Matrix{T}) where T: Constructs a StationaryBootstrap object for a matrix of data.