inferH: Posterior distribution of the H parameter of the HKp using an...

In HKprocess: Hurst-Kolmogorov Process

Posterior distribution of the H parameter of the HKp using an Accept-Reject algorithm.

Description

The function inferH is used to create a sample from the posterior distribution of H. The function uses the eq.10 (Tyralis and Koutsoyiannis 2014) to make inference on H and an Accept-Reject algorithm (see Robert and Casella 2004, Algorithm A.4).

Usage

inferH(data, n, add = 0.001, minu = 0.001, maxu = 0.999)

Arguments

data	time series data
n	The size of the simulated sample
add	A number added to the maximum value of the natural logarithm of eq.10, to avoid bugs of the Accept-Reject algorithm due to computation errors
minu	A lower bound to the parameter H
maxu	An upper bound to the parameter H

Value

Vector with the simulated sample.

Author(s)

Hristos Tyralis

References

Robert CP, Casella G (2004) Monte Carlo Statistical Methods. New York: Springer. doi: 10.1007/978-1-4757-4145-2.

Tyralis H, Koutsoyiannis D (2014) A Bayesian statistical model for deriving the predictive distribution of hydroclimatic variables. Climate Dynamics 42(11-12):2867–2883. doi: 10.1007/s00382-013-1804-y.

Examples

# Posterior distribution of the H parameter of the HKp for the Nile time series.

set.seed(12345)

samp.sim <- inferH(Nile,500)

hist(samp.sim, breaks = 20, main = "Histogram of H", xlab = "H")

HKprocess documentation built on Oct. 27, 2022, 1:06 a.m.