Introduces a dependence index for random vectors in [0,1] that vanishes if and only if the vectors are sub-independent, constructed via characteristic functions with empirical and asymptotic results.
Estimation of varying coefficient models with measurement error
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Quantifying Dependence Between Random Vectors: A New Index with Applications
Introduces a dependence index for random vectors in [0,1] that vanishes if and only if the vectors are sub-independent, constructed via characteristic functions with empirical and asymptotic results.