Minnesota先验分布的五个超参数的名词解释

Concentration parameter: This hyperparameter controls the degree of sparsity in the distribution. A higher concentration parameter leads to a more peaked and less diffuse distribution, while a lower concentration parameter leads to a flatter and more spread out distribution.

Shape parameter: This hyperparameter controls the shape of the distribution. For example, in a gamma distribution, the shape parameter determines how skewed the distribution is.

Scale parameter: This hyperparameter determines the scale or magnitude of the distribution. For example, in a normal distribution, the scale parameter determines the spread or standard deviation of the distribution.

Location parameter: This hyperparameter determines the location or center of the distribution. For example, in a normal distribution, the location parameter determines the mean of the distribution.

Degrees of freedom: This hyperparameter is specific to the t-distribution and determines the shape and spread of the distribution. A higher degrees of freedom value leads to a narrower and more peaked distribution, while a lower degrees of freedom value leads to a wider and more diffuse distribution.