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demo_simple_gaussian

Tests 1-dimensional Gaussian Distribution with customized parameters


Description

We generate a gaussian distribution with given parameters, and add noise to this dataset. We then compute the score of each dataset for the original true distribution.

Usage

demo_simple_gaussian(truemu = 5, truesd = 1, noisemu = 0, noisesd = 2, n = 100)

Arguments

truemu

mean of true distribution

truesd

standard deviation of true distribution

noisemu

mean of gaussian noise to add

noisesd

standard deviation of gaussian noise to add

n

number of samples to generate


KSD

Goodness-of-Fit Tests using Kernelized Stein Discrepancy

v1.0.1
MIT + file LICENSE
Authors
Min Hyung Kang [aut, cre], Qiang Liu [aut]
Initial release
2021-01-11

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