c(person("Yang", "Zhang", role = "aut"),
person("Hua", "Zhong", role = "aut"),
person("Ruby", "Sharma", role = "aut"),
person("Sajal", "Kumar", role = "aut"),
person("Joe", "Song", role = c("aut", "cre"),
email = "joemsong@cs.nmsu.edu"))
Yang Zhang [aut], Hua Zhong [aut], Ruby Sharma [aut], Sajal Kumar [aut], Joe Song [aut, cre]
Statistical hypothesis testing methods for non-parametric
functional dependencies using asymptotic chi-square or exact statistics. These
tests reveal evidence for causality based on the causality-by-functionality
principle. They include asymptotic functional chi-square tests, an exact
functional test, a comparative functional chi-square test, and also a
comparative chi-square test. The normalized non-constant functional chi-square
test was used by Best Performer NMSUSongLab in HPN-DREAM (DREAM8) Breast
Cancer Network Inference Challenges. For continuous data, these tests offer an
advantage over regression analysis when a parametric functional form cannot be
assumed; for categorical data, they provide a novel means to assess directional
dependencies not possible with symmetrical Pearson's chi-square or Fisher's
exact tests.

Statistical hypothesis testing methods for
non-parametric functional dependencies using asymptotic
chi-square or exact statistics. Functional chi-squares are
asymmetric and functional optimal, unique from other related
statistics. These tests reveal evidence for causality based on
the causality-by-functionality principle. They include
asymptotic functional chi-square tests, an exact functional
test, a comparative functional chi-square test, and also a
comparative chi-square test. The normalized non-constant
functional chi-square test was used by Best Performer
NMSUSongLab in HPN-DREAM (DREAM8) Breast Cancer Network
Inference Challenges. For continuous data, these tests offer an
advantage over regression analysis when a parametric functional
form cannot be assumed; for categorical data, they provide a
novel means to assess directional dependencies not possible with
symmetrical Pearson's chi-square or Fisher's exact tests.