all AI news
Inferring independent sets of Gaussian variables after thresholding correlations. (arXiv:2211.01521v1 [stat.ME])
Nov. 4, 2022, 1:13 a.m. | Arkajyoti Saha, Daniela Witten, Jacob Bien
stat.ML updates on arXiv.org arxiv.org
We consider testing whether a set of Gaussian variables, selected from the
data, is independent of the remaining variables. We assume that this set is
selected via a very simple approach that is commonly used across scientific
disciplines: we select a set of variables for which the correlation with all
variables outside the set falls below some threshold. Unlike other settings in
selective inference, failure to account for the selection step leads, in this
setting, to excessively conservative (as opposed …
More from arxiv.org / stat.ML updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US