Efficient test for nonlinear dependence of two continuous variables

Overview of attention for article published in BMC Bioinformatics, August 2015

Altmetric Badge

About this Attention Score

Good Attention Score compared to outputs of the same age (70th percentile)
Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter: 7 X users

Readers on

mendeley: 104 Mendeley

Summary X

So far, Altmetric has seen 10 X posts from 7 X users, with an upper bound of 4,942 followers.

@mlcr84 @Kezi___ @g_rizzo76 @Gtoffo @Un_human_corpse @BarinEmiliano @stebaraz @Azione_it @pdnetwork @GabrieleFdC @arrigoni_paolo @bragachiara @AngeloBonelli1 @andsnz @ClaudiaPavarini @GPichetto @dianacalibana @gonufrio @FranFerrante (Alternative a Spearman

27 Jan 2023

Reply Repost Favourite

@pandaym @pmddomingos @tunguz Tests for #ConditionalIndependence https://t.co/SkpLt9wT8u

26 Oct 2022

Reply Repost Favourite

@rasbt @psteinb_ @helmholtz_ai @GoogleQuantumAI @SymPy https://t.co/XJ2Akx3DjD

13 Apr 2022

Reply Repost Favourite

Efficient test for nonlinear dependence of two continuous variables A new way of testing nonlinear dependence between two continuous variables (X and Y) - CANOVA (continuous analysis of variance) #causalinference https://t.co/C5u5LhXlbj

09 May 2020

Reply Repost Favourite

This page shows the most recent X posts that mention this research output.

Click here to find out how to access more activity, including 6 additional X posts.