Lik_genSymMap: Gaussian Likelihood for general symmetric map

In PhilippVWC/myBayes: Functions for time series analysis based on Bayesian methods

Description

The gaussian likelihood is a metric which describes how good a hypothesis matches a given set of observational data.

Usage

  Lik_genSymMap(alpha, r, x0, Y, sigma)

Arguments

alpha	exponent
r	control parameter
x0	starting value
Y	given set of Data
sigma	the standard deviation of the underlying gaussian likelihood

Value

a scalar value for the likelihood

Author(s)

J.C. Lemm, P. van Wickevoort Crommelin

References

S. Sprott, Chaos and Time-series analysis

Examples

## The function is currently defined as
function (alpha, r, x0, Y, sigma)
{
    n = length(Y)
    X = gensymMap_iter_c(N = n, x0 = x0, r = r, alpha = alpha)
    L = LLik(X = X, Y = Y, sigma = sigma)
    return(L)
  }

PhilippVWC/myBayes documentation built on Oct. 2, 2020, 8:25 a.m.