This post may contain links from our sponsors and affiliates, and Flywheel Publishing may receive compensation for actions taken through them. BTC is trading below $90k once again at this time of ...

Abstract: Space-time adaptive processing (STAP) is a key technique for suppressing clutter. We develop a unified correlated sparse Bayesian learning (CSBL) framework to improve clutter suppression in ...

This important work combines theory and experiment to demonstrate convincingly how humans make decisions about sequences of pairs of correlated observations. The proposed model for evidence ...

Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of ...

Correlated scalar subquery that uses count (x) aggregation is evaluated the same as count (1) and produces wrong results when 'x' has null values.

State Key Laboratory of Physical Chemistry of Solid Surfaces, Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, and College of Chemistry and Chemical Engineering, Xiamen ...

Investors need to be cautious of the risks of relying too heavily on historic correlations that are prone to change. The current positive correlation between bonds and equities undermines fixed income ...

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

This important study evaluates a model for multisensory correlation detection, focusing on the detection of correlated transients in visual and auditory stimuli. Overall, the experimental design is ...

Endogeneity is a primary concern when evaluating causal effects using observational panel data. While unit-specific intercepts control for unobserved time-invariant ...