This bijector maps inputs from [0, 1] to [0, 1]. The inverse of the bijector applied to a uniform random variable X ~ U(0, 1) gives back a random variable with the Kumaraswamy distribution: Y ~ Kumaraswamy(a, b) pdf(y; a, b, 0 <= y <= 1) = a * b * y ** (a - 1) * (1 - y**a) ** (b - 1)

tfb_kumaraswamy(
  concentration1 = NULL,
  concentration0 = NULL,
  validate_args = FALSE,
  name = "kumaraswamy"
)

Arguments

concentration1

float scalar indicating the transform power, i.e., Y = g(X) = (1 - (1 - X)**(1 / b))**(1 / a) where a is concentration1.

concentration0

float scalar indicating the transform power, i.e., Y = g(X) = (1 - (1 - X)**(1 / b))**(1 / a) where b is concentration0.

validate_args

Logical, default FALSE. Whether to validate input with asserts. If validate_args is FALSE, and the inputs are invalid, correct behavior is not guaranteed.

name

name prefixed to Ops created by this class.

Value

a bijector instance.

See also