View source: R/univariate_Gaussian_fusion.R
ea_uniGaussian_DL | R Documentation |
Exact Algorithm with pi = tempered Gaussian distribution
ea_uniGaussian_DL(N, input_samples, time, mean, sd, beta, precondition)
N |
number of samples |
input_samples |
input samples for the algorithm distributed according to pi = exp(-(beta*(x-mean)^4)/2) |
time |
time T for Exact Algorithm |
mean |
mean value |
sd |
standard deviation value |
beta |
real value |
precondition |
precondition value (i.e the covariance for the Langevin diffusion) |
end points of the Exact Algorithm which should also be distributed according to pi = tempered Gaussian distribution
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