Results 241 to 250 of about 543,710 (291)
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Further consistency and independence results in NF obtained by the permutation method

Journal of Symbolic Logic, 1983
The permutation method was first applied to NF by Scott; other workers have published results ([2], [3]; or see [4] for a survey). Some of the results proved here have a more metalogical character than most previously yielded by this method. Hinnion and Petry (unpublished, but see [4]) proved that the existence of objects x such that x = {y: x∈y} is ...
T. Forster
openaire   +2 more sources

Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery

Neural Information Processing Systems, 2023
Conditional independence (CI) testing is frequently used in data analysis and machine learning for various scientific fields and it forms the basis of constraint-based causal discovery.
Wiebke Günther   +3 more
semanticscholar   +1 more source

A new method of testing mutual independence

Communications in Statistics - Theory and Methods, 2023
Testing independence between two or more random variables or random vectors receives a lot of attention in the literature. A new test statistic is proposed based on the consistency of the sample distance multivariance to test mutual independence.
Xiangyu Guo, Fukang Zhu
semanticscholar   +1 more source

Reliability validity and responsiveness of the spinal cord independence measure 4th version in a multicultural setup.

Archives of Physical Medicine and Rehabilitation, 2021
OBJECTIVE To examine the fourth version of the Spinal Cord Independence Measure for reliability and validity. DESIGN Partly blinded comparison with the criterion standard Spinal Cord Independence Measure III, and between examiners and examinations ...
A. Catz   +25 more
semanticscholar   +1 more source

Testing bivariate independence based on α-divergence by improved probit transformation method for copula density estimation

Communications in statistics. Simulation and computation, 2022
Independence test based on empirical copula does not perform well in the presence of weak dependency or when dependency occurs only in the tails. The copula density, which is estimated by a local likelihood probit transformation method, is used to detect
M. Mohammadi   +2 more
semanticscholar   +1 more source

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