During the first half of the fourth observing run (O4a) of the International Gravitational Wave Network, the Zwicky Transient ...

"A Bayesian Analysis of the Probability of the Origin of Life per Site Conducive to Abiogenesis," published Aug. 19 in the journal Astrobiology by Lingam, recent Florida Tech graduate Ruth Nichols and ...

Bayesian inference provides a probabilistic framework for classification that combines prior knowledge with observed data to update the probability distribution of the classification parameters. It ...

Experts in data analysis, statistics and machine learning for physics came together from 9 to 12 September for PHYSTAT’s ...

While the behavioral benefits of distractor suppression are well-established, its neural underpinnings are not yet fully understood. In an fMRI study, we examined whether and how sensory responses in ...

The learning rate (left axis; as reciprocal of the number of trials to acquisition, right axis) plotted against the mutual information (log2 of informativeness) for the 14 groups. Note. The criterion ...

Certain classes of Bayesian hierarchical models have shown to be particularly useful in such contexts. Bayesian approaches are strongly connected to statistical computational methods, and in ...

Objective Systemic lupus erythematosus (SLE) is an autoimmune disease characterised by a loss of immune tolerance, affecting ...

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