The t-distribution is similar to the normal distribution, with its bell shape, but it has heavier tails. It is used for estimating population parameters for small sample sizes or unknown variances.

The normal distribution is a continuous probability distribution that is symmetrical, bell-shaped, and centred around its mean. It is one of the most important distributions in statistics because many ...

Somatic hypermutation (SHM) of immunoglobulin variable (V) regions modulates antibody-antigen affinity is initiated by activation-induced cytidine deaminase (AID) on single-stranded DNA (ssDNA).

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Abstract: Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ...

will be much closer to a normal distribution curve. Smaller sample sizes will correspond with smaller degrees of freedom and result in fatter t-distribution tails. In the examples above ...