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Uniform Distribution

The continuous uniform distribution on \([a, b]\) is defined by:

PDF

\[p(x) = \frac{1}{b - a}, \quad a \leq x \leq b\]

CDF

\[F(x) = \frac{x - a}{b - a}, \quad a \leq x \leq b\]

Entropy

For the multivariate case with independent marginals on \([a_d, b_d]\):

\[H(x) = \log \left[ \prod_{d=1}^{D}(b_d - a_d) \right]\]

For the standard uniform on \([0, 1]^D\), this simplifies to \(H(x) = 0\).

Role in RBIG

The uniform distribution is the intermediate target in the uniformization step of RBIG. Applying the marginal CDF \(F_d\) to each dimension maps the data to \([0, 1]\), producing a uniform marginal distribution before the subsequent Gaussianization step.