Created
June 8, 2018 13:04
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(Attempt at) the Kumaraswamy distribution in Rainier.
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// Doesn't work yet! | |
object Kumaraswamy { | |
def apply(a: Real, b: Real): Continuous = new Continuous { | |
def realLogDensity(x: Real): Real = | |
If(x <= 0, | |
Real.zero.log, | |
If(x >= 1, Real.zero.log, (a - 1) * x.log + (b - 1) * (1 - x.pow(a)))) | |
def param: RandomVariable[Real] = { | |
for { | |
u <- Uniform(0, 1).param | |
} yield (1 - (1 - u).pow(1.0 / a)).pow(1.0 / b) | |
} | |
val generator: Generator[Double] = Generator.from { (r, n) => | |
val u = r.standardUniform | |
math.pow(1 - math.pow(1 - u, 1 / n.toDouble(b)), 1 / n.toDouble(a)) | |
} | |
} | |
} |
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